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Use the method of substitution to solve the system of linear equations
5a=4-b
5a=2-b
ordered pair, if any
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You find the value of one variable then you substitute on the second equation to find the missing variable you can start with any equation
5a+b=2
find a
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Individual Project #3 Healthcare Statistics & Research
Your CEO wants to review the benchmarking data used to compare Choice
Hospital with other hospitals in the same geograph ...
Individual Project #3 Healthcare Statistics & Research
Your CEO wants to review the benchmarking data used to compare Choice
Hospital with other hospitals in the same geographic region. The Board
of Directors is looking at expanding the Emergency Department or adding
more in-patient beds. The CEO needs to know how Choice Hospital compares
with other hospitals in the region to be part of the discussion and
inform decisions on expansion in these areas. As you assume the
role the HCA at Choice Hospital, provide the data and analysis requested
by your CEO as described below. In this exercise, assume that Choice
Hospital is located in Colorado, and use these data
provided by the Colorado Hospital Association for Colorado hospitals.
If you wish to find data for your own state of residence, you may do
that and start your search at your state’s Department of Health Web
site.For comparison of Choice Hospital to others in the state of
Colorado of comparable size, you will use the specific data points
requested, perform the calculations, and prepare the presentation of the
data as follows:You will first review the data available and summarize the data
points as specified for this presentation by placing them in an Excel
spreadsheet.
Calculate descriptive statistics for the data, as specified below.
Prepare an Excel spreadsheet of the data.
Review the data in the spreadsheet, and prepare a discussion of
the data for Colorado hospitals compared to the data for Choice
Hospital.
The table below includes the data for Choice Hospital:
Hospital
Licensed Beds
Total Discharges
Total Patient Days
Inpatient Surgeries
Births
Inpatient Admissions for Emergency Departments
Emergency Department Visits
Total Outpatient Visits
Choice Hospital
300
15,279
70,283
4,012
256
4,781
13,342
98,993
From these data, calculate the average length of stay (ALOS) for Choice Hospital.Now look at the data for Colorado Hospitals at the link provided.
Because Choice Hospital is a 300-bed facility, identify the hospitals
that have between 200 and 400 licensed beds. Those are the hospitals
that you will use for your comparison to Choice Hospital. In your Excel
spreadsheet, do the following:List the hospitals that have 200–400 licensed beds in the first column, with 1 hospital listed per row.
Next, for each of those hospitals, enter the data in separate columns for Total Patient Days and Total Discharges.
In the next column, enter your calculation for ALOS using the data for Total Patient Days and Total Discharges.
At the bottom of the column for ALOS, calculate the mean and
standard deviation for the average length of stay for all of the
hospitals.
Enter the mean and standard deviation in the cells below in
that column, and be sure to identify which value is the mean and which
is the standard deviation.
You will submit your Excel spreadsheet along with your 600-800 word summary.Now that you have the data on ALOS for your comparison hospitals,
write 600-800 word summary, not including the title page or reference
page, and discuss the following:Consider the average length of stay for Choice Hospital that you
calculated using the data for Choice Hospital. How does that compare to
the ALOS on average for the hospitals in Colorado with similar numbers
of licensed beds from your calculation?
Identify the range of ALOS for the hospitals, and consider the standard deviation value.
Did you calculate the standard deviation of a sample or of the entire population?
What is the difference?
Explain why you chose the one that you did.
Research the ALOS for the United States, and find a statistic
that is within the last 5 years. The ALOS may be an overall average or
based on the number of beds.
State the ALOS for the United States that you found in your research, and be sure to cite the reference source.
How does the ALOS for Choice Hospital compare to the national average?
Inferential Statistics & Analytics Descriptive Statistics Analysis Paper
CompetencyExamine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.Ins ...
Inferential Statistics & Analytics Descriptive Statistics Analysis Paper
CompetencyExamine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.InstructionsScenario (Information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by title The salary (in dollars) for each jobThe client needs the preliminary findings by the end of the day, and your boss asks you to first compute some basic statistics.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet.Here is the Worksheet. I opened in case you couldn't download it.1 Worksheet
Introduce your scenario and data set.
Provide a brief overview of the scenario you are given and describe the data set.
Describe how you will be analyzing the data set.
Classify the variables in your data set.
Which variables are quantitative/qualitative?
If it is a quantitative variable, is it discrete or continuous?
Describe the level of measurement for each variable included in the data set (nominal, ordinal, interval, ratio).
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Discuss the importance of the Measures of Center.
Name and describe each measure of center.
Discuss the advantages and/or disadvantages of each.
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Discuss the importance of the Measures of Variation.
Name and describe each measure of variation.
Discuss the advantages and/or disadvantages of each.
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Calculate the measures of center and measures of variation from the data set and list them below. Be sure to include (a) an interpretation of each measure in context of the scenario (for example, if the median is larger than the mean, what does it mean? What does the value of standard deviation tell you?) and (b) correct units of measurement. Show your calculations in your spreadsheet. You do not need to include Excel functions in your written answer below.
Mean
Median
Mode
Midrange
Range
Variance
Standard deviation
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
3 pages
Answers
Directions: You may work together with other students through the problems posed to build a deeper understanding of the co ...
Answers
Directions: You may work together with other students through the problems posed to build a deeper understanding of the content. You may provide your ...
BUS 352 GCU Descriptive Statistics and Random Integer Value Analysis
The Excel function =RANDBETWEEN(a,b) generates a random integer value between a and b. Open Excel. Copy and paste the Exce ...
BUS 352 GCU Descriptive Statistics and Random Integer Value Analysis
The Excel function =RANDBETWEEN(a,b) generates a random integer value between a and b. Open Excel. Copy and paste the Excel function into 30 cells (rows) starting at Column A at A1. Create 30 random values between 0 and 7 to simulate the response to the question, “How many times have you dined out in the past week?” Note: Once you have your 30 random values in Column A, select all values, copy the values, and use “Paste Special - Values” to Column B starting at B1. This will keep the spreadsheet from recalculating and changing your results.
Use Excel’s Data Analysis Tool Add-in to generate the Descriptive Statistics Summary Table for the values in Column B (as demonstrated in Section 3.2 of the text). Also use Excel’s Chart tools (as discussed in Section 3.4 of the text) to generate a box plot on the 30 responses. Comment on the measures and shape of the distribution. Do the measures and shape represent what you would expect based on randomly determined values? Why or why not? Include the data set of the 30 random values and your output in your response. Provide references (Refer to Chapter 3 Review: Supplementary Exercises 62 in the Chapter 3 topic Resources in Essentials of Modern Business Statistics With Microsoft Office Excel in MindTap).
Analyze the computation, application, strengths, and limitations of various statistical tests, assignment help
CORRELATIONYou will need the grades.sav file that you created from the grades2.dat file in Assignment 1.
For this two-par ...
Analyze the computation, application, strengths, and limitations of various statistical tests, assignment help
CORRELATIONYou will need the grades.sav file that you created from the grades2.dat file in Assignment 1.
For this two-part assessment, you will respond to a question about interpreting correlations and use SPSS software to complete a data analysis and application report.You will examine three fundamental inferential statistics, including correlation, t-tests, and analysis of variance (ANOVA). The first inferential statistic we will focus on is correlation, denoted r, which estimates the strength of a linear association between two variables. By contrast, t-tests and ANOVAs will examine group differences on some quantitative dependent variable.By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:Analyze the computation, application, strengths, and limitations of various statistical tests.Develop a conclusion including strengths and limitations of correlation.Analyze the decision-making process of data analysis.Analyze the assumptions of correlation.Apply knowledge of hypothesis testing.Develop a research question, null hypothesis, alternative hypothesis, and alpha level.Interpret the results of statistical analyses.Interpret the correlation output.Apply a statistical program's procedure to a data set.Apply the appropriate SPSS procedures to check assumptions and calculate the correlations.Apply the results of statistical analyses (your own or others) to your field of interest or career.Develop a context for the data set, including a definition of required variables and scales of measurement.Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.Read the Assessment 2 Context document attached for important information on the following topics:Interpreting correlation: Magnitude and sign.Assumptions of correlation.Hypothesis testing of correlation.Effect size in correlation.Alternative correlation coefficients.Correlation—application.Proper reporting of correlations.r, degrees of freedom, and correlation coefficient.Probability values.Effect size.As you prepare to complete this assessment, you may want to think about other related issues to deepen your understanding or broaden your viewpoint. You are encouraged to consider the questions below and discuss them with a fellow learner, a work associate, an interested friend, or a member of your professional community. Note that these questions are for your own development and exploration and do not need to be completed or submitted as part of your assessment.Correlation versus causation:If correlation does not imply causation, what does it imply?Are there ever any circumstances when a correlation can be interpreted as evidence for a causal connection between two variables?If yes, what circumstances?Application of correlation:Is there a research question from your professional life or career specialization that can be addressed by a correlation?Why would a correlation be the appropriate analysis for this research question?What are the variables and their scale of measurement?What is the expected outcome (positive, negative, no relationship)?In addition, you will need the grades.sav file that you created from the grades2.dat file in Assessment 1.SPSS SoftwareThe following statistical analysis software is required to complete your assessments in this course:IBM SPSS Statistics (recent version for PC or Mac).This course requires the following as a minimum:IBM SPSS Statistics Standard GradPack. (The Base GradPack is not acceptable for use in this course.)Versioning: This software is routinely updated. While it is recommended that you use the latest version of the software available, you may use an older version if you already own it or have access to it, but it must be version 22 or higher. Be sure to use the version that is compatible with your operating system (PC or Mac).SUGGESTED RESOURCESThe resources provided here are optional. You may use other resources of your choice to prepare for this assessment; however, you will need to ensure that they are appropriate, credible, and valid. TheXX-FP7864 – Quantitative Design and Analysis Library Guidecan help direct your research, and the Supplemental Resources and Research Resources, both linked from the left navigation menu in your courseroom, provide additional resources to help support you.ResourcesGeorge, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.Internet ResourcesLane, D. M. (2013). HyperStat online: An introductory statistics textbook and online tutorial for help in statistics courses. Retrieved from http://davidmlane.com/hyperstatStatSoft, Inc. (2013). Electronic statistics textbook. Tulsa, OK: StatSoft. Retrieved fromhttp://www.statsoft.com/textbookSophia. (2014). Retrieved from http://www.sophia.org/Browse Sophia for tutorials that explore statistical topics.StatisticsLectures.com. (2012). Free statistic lectures. Retrieved fromhttp://statisticslectures.com/Khan Academy. (2013). Retrieved from https://www.khanacademy.orgThis Web site offers resources covering a range of subjects, including statisticsHall, R. (1998). Between subjects one-way ANOVA example. Psychology World. Retrieved from http://web.mst.edu/~psyworld/anovaexample.htmElliot, A. C. (2012). ANOVA using Microsoft Excel: One-way analysis of variance. Excel Tutorials for Statistical Data Analysis. Retrieved fromhttp://www.stattutorials.com/EXCEL/EXCEL_ANOVA.htm...Onwuegbuzie, T. (Producer). (2009). Mixed methods research[Video] | Transcript. Available from http://videolectures.net/ssmt09_onwuegbuzie_mmrSuggested ReadingsPSY LearnersNote:For the first article, focus on interpreting Table 1.Jia, Y., Konold, T. R., & Cornell, D. (2015). Authoritative school climate and high school dropout rates. School Psychology Quarterly, 31(2), 289–303.Anderson, C. A., & Bushman, B. J. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A meta-analytic review of the scientific literature. Psychological Science, 12(5), 353–359.SOE LearnersWalk, M., & Rupp, A. (2010). Pearson product-moment correlation coefficient. In N. J. Salkind (Ed.), Encyclopedia of research design (pp. 1023–1026). Thousand Oaks, CA: Sage.Chapter 10, "Bivariate Correlation."ResourcesGeorge, D., & Mallery, P. (2016).IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.Field, A. (2013). Discovering statistics using IBM SPSS (4th ed.). Thousand Oaks, CA: Sage.Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques(2nd ed.). Thousand Oaks, CA: Sage.Chapter 7, "Bivariate Pearson Correlation."Chapter 8, "Alternative Correlation Coefficients."American Psychological Association. (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author.PreparationRead the Assessment 2 Context document (linked in the Resources, under the Required Resources heading) to learn about the concepts used in this assessment. This assessment contains two parts. Follow the instructions provided for each part. Submit both parts of your assessment as Word documents.PART 1: INTERPRETING CORRELATIONSA meta-analysis (Anderson & Bushman, 2001) reported that the average correlation between time spent playing video games (X) and engaging in aggressive behavior (Y) in a set of 21 well-controlled experimental studies wasr+ = .19. This correlation was judged to be statistically significant. In your own words, what can you say about the nature of the relationship? Write a one-page response to this question.PART 2: CORRELATIONSYou will use the following resources for this assessment. They are linked in the Resources, under the Required Resources heading.Complete this part of the assessment using the DAA Template.Read the SPSS Data Analysis Report Guidelines for a more complete understanding of the DAA Template and how to format and organize your assessment.Refer to IBM SPSS Step-By-Step Instructions: Correlations for additional information on using SPSS for this assessment.If necessary, review the Copy/Export Output Instructions to refresh your memory on how to perform these tasks. As with your previous two assessments, your submission should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document).You will analyze the following variables in thegrades.savdata set:gender.gpa.total.final.Step 1: Write Section 1 of the DAAProvide a context of thegrades.savdata set. Include a definition of the specified variables and corresponding scales of measurement. Indicate the type of correlation for each X, Y pair (for example, Pearson'sr, Spearman'sr, point-biserialr, et cetera). Specify the sample size of the data set.Step 2: Write Section 2 of the DAATest the assumptions of correlation forgpaandfinal. Paste the SPSS histogram output for each variable and discuss your visual interpretations. Paste SPSS descriptives output showing skewness and kurtosis values and interpret them. Paste SPSS scatter plot output with gpa set to the horizontal axis and final set to the vertical axis. Conduct a visual inspection of the scatter plot to analyze other assumptions of correlation. Summarize whether or not the assumptions of correlation are met.Step 3: Write Section 3 of the DAASpecify a research question related togpaandfinal. Articulate the null hypothesis and alternative hypothesis. Specify your alpha level.Step 4: Write Section 4 of the DAAPaste the SPSS output of the intercorrelation matrix for all specified variables.First, report the lowest magnitudecorrelation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.Second, report the highest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.Third, report the correlation between gpa and final, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Analyze the correlation in terms of the null hypothesis.Step 5: Write Section 5 of the DAADiscuss the implications of this correlation as it relates to the research question. Conclude with an analysis of the strengths and limitations of correlational analysis.ReferenceAnderson, C. A., & Bushman, B. J. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A meta-analytic review of the scientific literature.Psychological Science,12(5), 353–359.
STAT 200 UMUC Descriptive Statistics Data Analysis Plan
University of Maryland University College STAT200 - Assignment #1: Descriptive Statistics Data Analysis Plan Identif ...
STAT 200 UMUC Descriptive Statistics Data Analysis Plan
University of Maryland University College STAT200 - Assignment #1: Descriptive Statistics Data Analysis Plan Identifying Information Student (Full Name): Class: Instructor: Date: Scenario: Please write a few lines describing your scenario and the four variables (in addition to income) you have selected. Use Table 1 to report the variables selected for this assignment. Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 1. Variables Selected for the Analysis Variable Name in the Data Set Description (See the data dictionary for describing the variables.) Type of Variable (Qualitative or Quantitative) Variable 1: “Income” Annual household income in USD. Quantitative Variable 2: Variable 3: Variable 4: Variable 5: Reason(s) for Selecting the Variables and Expected Outcome(s): Variable 1: “Income” -Variable 2: ““ -Variable 3: ““-Variable 4: ““-Variable 5: ““- Data Set Description: Proposed Data Analysis: Measures of Central Tendency and Dispersion Complete Table 2. Numerical Summaries of the Selected Variables and briefly explain why you choose those measurements.Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 2. Numerical Summaries of the Selected Variables Variable Name Measures of Central Tendency and Dispersion Rationale for Why Appropriate Variable 1: “Income” Number of ObservationsMedianSample Standard Deviation I am using median for two reasons: If there are any outliers or the data is not normally distributed, the median is the best measure of central tendency.The variable is quantitative. I am using sample standard deviation for three reasons: The data is a sample from a larger data set.It is the most commonly used measure of dispersion.The variable is quantitative. Variable 2: Variable 3: Variable 4: Variable 5: Graphs and/or Tables Complete Table 3. Type of Graphs and/or Table for Selected Variables and briefly explain why you choose those graphs and/or tables.Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 3. Type of Graphs and/or Tables for Selected Variables Variable Name Graph and/or Table Rationale for why Appropriate? Variable 1: “Income” Graph: I will use the histogram to show the normal distribution of data. Histogram is one of the best plot to show the normal distribution of quantitative level data . Variable 2: Variable 3: Variable 4: Variable 5:
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Individual Project #3 Healthcare Statistics & Research
Your CEO wants to review the benchmarking data used to compare Choice
Hospital with other hospitals in the same geograph ...
Individual Project #3 Healthcare Statistics & Research
Your CEO wants to review the benchmarking data used to compare Choice
Hospital with other hospitals in the same geographic region. The Board
of Directors is looking at expanding the Emergency Department or adding
more in-patient beds. The CEO needs to know how Choice Hospital compares
with other hospitals in the region to be part of the discussion and
inform decisions on expansion in these areas. As you assume the
role the HCA at Choice Hospital, provide the data and analysis requested
by your CEO as described below. In this exercise, assume that Choice
Hospital is located in Colorado, and use these data
provided by the Colorado Hospital Association for Colorado hospitals.
If you wish to find data for your own state of residence, you may do
that and start your search at your state’s Department of Health Web
site.For comparison of Choice Hospital to others in the state of
Colorado of comparable size, you will use the specific data points
requested, perform the calculations, and prepare the presentation of the
data as follows:You will first review the data available and summarize the data
points as specified for this presentation by placing them in an Excel
spreadsheet.
Calculate descriptive statistics for the data, as specified below.
Prepare an Excel spreadsheet of the data.
Review the data in the spreadsheet, and prepare a discussion of
the data for Colorado hospitals compared to the data for Choice
Hospital.
The table below includes the data for Choice Hospital:
Hospital
Licensed Beds
Total Discharges
Total Patient Days
Inpatient Surgeries
Births
Inpatient Admissions for Emergency Departments
Emergency Department Visits
Total Outpatient Visits
Choice Hospital
300
15,279
70,283
4,012
256
4,781
13,342
98,993
From these data, calculate the average length of stay (ALOS) for Choice Hospital.Now look at the data for Colorado Hospitals at the link provided.
Because Choice Hospital is a 300-bed facility, identify the hospitals
that have between 200 and 400 licensed beds. Those are the hospitals
that you will use for your comparison to Choice Hospital. In your Excel
spreadsheet, do the following:List the hospitals that have 200–400 licensed beds in the first column, with 1 hospital listed per row.
Next, for each of those hospitals, enter the data in separate columns for Total Patient Days and Total Discharges.
In the next column, enter your calculation for ALOS using the data for Total Patient Days and Total Discharges.
At the bottom of the column for ALOS, calculate the mean and
standard deviation for the average length of stay for all of the
hospitals.
Enter the mean and standard deviation in the cells below in
that column, and be sure to identify which value is the mean and which
is the standard deviation.
You will submit your Excel spreadsheet along with your 600-800 word summary.Now that you have the data on ALOS for your comparison hospitals,
write 600-800 word summary, not including the title page or reference
page, and discuss the following:Consider the average length of stay for Choice Hospital that you
calculated using the data for Choice Hospital. How does that compare to
the ALOS on average for the hospitals in Colorado with similar numbers
of licensed beds from your calculation?
Identify the range of ALOS for the hospitals, and consider the standard deviation value.
Did you calculate the standard deviation of a sample or of the entire population?
What is the difference?
Explain why you chose the one that you did.
Research the ALOS for the United States, and find a statistic
that is within the last 5 years. The ALOS may be an overall average or
based on the number of beds.
State the ALOS for the United States that you found in your research, and be sure to cite the reference source.
How does the ALOS for Choice Hospital compare to the national average?
Inferential Statistics & Analytics Descriptive Statistics Analysis Paper
CompetencyExamine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.Ins ...
Inferential Statistics & Analytics Descriptive Statistics Analysis Paper
CompetencyExamine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.InstructionsScenario (Information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by title The salary (in dollars) for each jobThe client needs the preliminary findings by the end of the day, and your boss asks you to first compute some basic statistics.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet.Here is the Worksheet. I opened in case you couldn't download it.1 Worksheet
Introduce your scenario and data set.
Provide a brief overview of the scenario you are given and describe the data set.
Describe how you will be analyzing the data set.
Classify the variables in your data set.
Which variables are quantitative/qualitative?
If it is a quantitative variable, is it discrete or continuous?
Describe the level of measurement for each variable included in the data set (nominal, ordinal, interval, ratio).
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Discuss the importance of the Measures of Center.
Name and describe each measure of center.
Discuss the advantages and/or disadvantages of each.
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Discuss the importance of the Measures of Variation.
Name and describe each measure of variation.
Discuss the advantages and/or disadvantages of each.
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Calculate the measures of center and measures of variation from the data set and list them below. Be sure to include (a) an interpretation of each measure in context of the scenario (for example, if the median is larger than the mean, what does it mean? What does the value of standard deviation tell you?) and (b) correct units of measurement. Show your calculations in your spreadsheet. You do not need to include Excel functions in your written answer below.
Mean
Median
Mode
Midrange
Range
Variance
Standard deviation
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
3 pages
Answers
Directions: You may work together with other students through the problems posed to build a deeper understanding of the co ...
Answers
Directions: You may work together with other students through the problems posed to build a deeper understanding of the content. You may provide your ...
BUS 352 GCU Descriptive Statistics and Random Integer Value Analysis
The Excel function =RANDBETWEEN(a,b) generates a random integer value between a and b. Open Excel. Copy and paste the Exce ...
BUS 352 GCU Descriptive Statistics and Random Integer Value Analysis
The Excel function =RANDBETWEEN(a,b) generates a random integer value between a and b. Open Excel. Copy and paste the Excel function into 30 cells (rows) starting at Column A at A1. Create 30 random values between 0 and 7 to simulate the response to the question, “How many times have you dined out in the past week?” Note: Once you have your 30 random values in Column A, select all values, copy the values, and use “Paste Special - Values” to Column B starting at B1. This will keep the spreadsheet from recalculating and changing your results.
Use Excel’s Data Analysis Tool Add-in to generate the Descriptive Statistics Summary Table for the values in Column B (as demonstrated in Section 3.2 of the text). Also use Excel’s Chart tools (as discussed in Section 3.4 of the text) to generate a box plot on the 30 responses. Comment on the measures and shape of the distribution. Do the measures and shape represent what you would expect based on randomly determined values? Why or why not? Include the data set of the 30 random values and your output in your response. Provide references (Refer to Chapter 3 Review: Supplementary Exercises 62 in the Chapter 3 topic Resources in Essentials of Modern Business Statistics With Microsoft Office Excel in MindTap).
Analyze the computation, application, strengths, and limitations of various statistical tests, assignment help
CORRELATIONYou will need the grades.sav file that you created from the grades2.dat file in Assignment 1.
For this two-par ...
Analyze the computation, application, strengths, and limitations of various statistical tests, assignment help
CORRELATIONYou will need the grades.sav file that you created from the grades2.dat file in Assignment 1.
For this two-part assessment, you will respond to a question about interpreting correlations and use SPSS software to complete a data analysis and application report.You will examine three fundamental inferential statistics, including correlation, t-tests, and analysis of variance (ANOVA). The first inferential statistic we will focus on is correlation, denoted r, which estimates the strength of a linear association between two variables. By contrast, t-tests and ANOVAs will examine group differences on some quantitative dependent variable.By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:Analyze the computation, application, strengths, and limitations of various statistical tests.Develop a conclusion including strengths and limitations of correlation.Analyze the decision-making process of data analysis.Analyze the assumptions of correlation.Apply knowledge of hypothesis testing.Develop a research question, null hypothesis, alternative hypothesis, and alpha level.Interpret the results of statistical analyses.Interpret the correlation output.Apply a statistical program's procedure to a data set.Apply the appropriate SPSS procedures to check assumptions and calculate the correlations.Apply the results of statistical analyses (your own or others) to your field of interest or career.Develop a context for the data set, including a definition of required variables and scales of measurement.Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.Read the Assessment 2 Context document attached for important information on the following topics:Interpreting correlation: Magnitude and sign.Assumptions of correlation.Hypothesis testing of correlation.Effect size in correlation.Alternative correlation coefficients.Correlation—application.Proper reporting of correlations.r, degrees of freedom, and correlation coefficient.Probability values.Effect size.As you prepare to complete this assessment, you may want to think about other related issues to deepen your understanding or broaden your viewpoint. You are encouraged to consider the questions below and discuss them with a fellow learner, a work associate, an interested friend, or a member of your professional community. Note that these questions are for your own development and exploration and do not need to be completed or submitted as part of your assessment.Correlation versus causation:If correlation does not imply causation, what does it imply?Are there ever any circumstances when a correlation can be interpreted as evidence for a causal connection between two variables?If yes, what circumstances?Application of correlation:Is there a research question from your professional life or career specialization that can be addressed by a correlation?Why would a correlation be the appropriate analysis for this research question?What are the variables and their scale of measurement?What is the expected outcome (positive, negative, no relationship)?In addition, you will need the grades.sav file that you created from the grades2.dat file in Assessment 1.SPSS SoftwareThe following statistical analysis software is required to complete your assessments in this course:IBM SPSS Statistics (recent version for PC or Mac).This course requires the following as a minimum:IBM SPSS Statistics Standard GradPack. (The Base GradPack is not acceptable for use in this course.)Versioning: This software is routinely updated. While it is recommended that you use the latest version of the software available, you may use an older version if you already own it or have access to it, but it must be version 22 or higher. Be sure to use the version that is compatible with your operating system (PC or Mac).SUGGESTED RESOURCESThe resources provided here are optional. You may use other resources of your choice to prepare for this assessment; however, you will need to ensure that they are appropriate, credible, and valid. TheXX-FP7864 – Quantitative Design and Analysis Library Guidecan help direct your research, and the Supplemental Resources and Research Resources, both linked from the left navigation menu in your courseroom, provide additional resources to help support you.ResourcesGeorge, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.Internet ResourcesLane, D. M. (2013). HyperStat online: An introductory statistics textbook and online tutorial for help in statistics courses. Retrieved from http://davidmlane.com/hyperstatStatSoft, Inc. (2013). Electronic statistics textbook. Tulsa, OK: StatSoft. Retrieved fromhttp://www.statsoft.com/textbookSophia. (2014). Retrieved from http://www.sophia.org/Browse Sophia for tutorials that explore statistical topics.StatisticsLectures.com. (2012). Free statistic lectures. Retrieved fromhttp://statisticslectures.com/Khan Academy. (2013). Retrieved from https://www.khanacademy.orgThis Web site offers resources covering a range of subjects, including statisticsHall, R. (1998). Between subjects one-way ANOVA example. Psychology World. Retrieved from http://web.mst.edu/~psyworld/anovaexample.htmElliot, A. C. (2012). ANOVA using Microsoft Excel: One-way analysis of variance. Excel Tutorials for Statistical Data Analysis. Retrieved fromhttp://www.stattutorials.com/EXCEL/EXCEL_ANOVA.htm...Onwuegbuzie, T. (Producer). (2009). Mixed methods research[Video] | Transcript. Available from http://videolectures.net/ssmt09_onwuegbuzie_mmrSuggested ReadingsPSY LearnersNote:For the first article, focus on interpreting Table 1.Jia, Y., Konold, T. R., & Cornell, D. (2015). Authoritative school climate and high school dropout rates. School Psychology Quarterly, 31(2), 289–303.Anderson, C. A., & Bushman, B. J. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A meta-analytic review of the scientific literature. Psychological Science, 12(5), 353–359.SOE LearnersWalk, M., & Rupp, A. (2010). Pearson product-moment correlation coefficient. In N. J. Salkind (Ed.), Encyclopedia of research design (pp. 1023–1026). Thousand Oaks, CA: Sage.Chapter 10, "Bivariate Correlation."ResourcesGeorge, D., & Mallery, P. (2016).IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.Field, A. (2013). Discovering statistics using IBM SPSS (4th ed.). Thousand Oaks, CA: Sage.Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques(2nd ed.). Thousand Oaks, CA: Sage.Chapter 7, "Bivariate Pearson Correlation."Chapter 8, "Alternative Correlation Coefficients."American Psychological Association. (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author.PreparationRead the Assessment 2 Context document (linked in the Resources, under the Required Resources heading) to learn about the concepts used in this assessment. This assessment contains two parts. Follow the instructions provided for each part. Submit both parts of your assessment as Word documents.PART 1: INTERPRETING CORRELATIONSA meta-analysis (Anderson & Bushman, 2001) reported that the average correlation between time spent playing video games (X) and engaging in aggressive behavior (Y) in a set of 21 well-controlled experimental studies wasr+ = .19. This correlation was judged to be statistically significant. In your own words, what can you say about the nature of the relationship? Write a one-page response to this question.PART 2: CORRELATIONSYou will use the following resources for this assessment. They are linked in the Resources, under the Required Resources heading.Complete this part of the assessment using the DAA Template.Read the SPSS Data Analysis Report Guidelines for a more complete understanding of the DAA Template and how to format and organize your assessment.Refer to IBM SPSS Step-By-Step Instructions: Correlations for additional information on using SPSS for this assessment.If necessary, review the Copy/Export Output Instructions to refresh your memory on how to perform these tasks. As with your previous two assessments, your submission should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document).You will analyze the following variables in thegrades.savdata set:gender.gpa.total.final.Step 1: Write Section 1 of the DAAProvide a context of thegrades.savdata set. Include a definition of the specified variables and corresponding scales of measurement. Indicate the type of correlation for each X, Y pair (for example, Pearson'sr, Spearman'sr, point-biserialr, et cetera). Specify the sample size of the data set.Step 2: Write Section 2 of the DAATest the assumptions of correlation forgpaandfinal. Paste the SPSS histogram output for each variable and discuss your visual interpretations. Paste SPSS descriptives output showing skewness and kurtosis values and interpret them. Paste SPSS scatter plot output with gpa set to the horizontal axis and final set to the vertical axis. Conduct a visual inspection of the scatter plot to analyze other assumptions of correlation. Summarize whether or not the assumptions of correlation are met.Step 3: Write Section 3 of the DAASpecify a research question related togpaandfinal. Articulate the null hypothesis and alternative hypothesis. Specify your alpha level.Step 4: Write Section 4 of the DAAPaste the SPSS output of the intercorrelation matrix for all specified variables.First, report the lowest magnitudecorrelation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.Second, report the highest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.Third, report the correlation between gpa and final, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Analyze the correlation in terms of the null hypothesis.Step 5: Write Section 5 of the DAADiscuss the implications of this correlation as it relates to the research question. Conclude with an analysis of the strengths and limitations of correlational analysis.ReferenceAnderson, C. A., & Bushman, B. J. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A meta-analytic review of the scientific literature.Psychological Science,12(5), 353–359.
STAT 200 UMUC Descriptive Statistics Data Analysis Plan
University of Maryland University College STAT200 - Assignment #1: Descriptive Statistics Data Analysis Plan Identif ...
STAT 200 UMUC Descriptive Statistics Data Analysis Plan
University of Maryland University College STAT200 - Assignment #1: Descriptive Statistics Data Analysis Plan Identifying Information Student (Full Name): Class: Instructor: Date: Scenario: Please write a few lines describing your scenario and the four variables (in addition to income) you have selected. Use Table 1 to report the variables selected for this assignment. Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 1. Variables Selected for the Analysis Variable Name in the Data Set Description (See the data dictionary for describing the variables.) Type of Variable (Qualitative or Quantitative) Variable 1: “Income” Annual household income in USD. Quantitative Variable 2: Variable 3: Variable 4: Variable 5: Reason(s) for Selecting the Variables and Expected Outcome(s): Variable 1: “Income” -Variable 2: ““ -Variable 3: ““-Variable 4: ““-Variable 5: ““- Data Set Description: Proposed Data Analysis: Measures of Central Tendency and Dispersion Complete Table 2. Numerical Summaries of the Selected Variables and briefly explain why you choose those measurements.Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 2. Numerical Summaries of the Selected Variables Variable Name Measures of Central Tendency and Dispersion Rationale for Why Appropriate Variable 1: “Income” Number of ObservationsMedianSample Standard Deviation I am using median for two reasons: If there are any outliers or the data is not normally distributed, the median is the best measure of central tendency.The variable is quantitative. I am using sample standard deviation for three reasons: The data is a sample from a larger data set.It is the most commonly used measure of dispersion.The variable is quantitative. Variable 2: Variable 3: Variable 4: Variable 5: Graphs and/or Tables Complete Table 3. Type of Graphs and/or Table for Selected Variables and briefly explain why you choose those graphs and/or tables.Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 3. Type of Graphs and/or Tables for Selected Variables Variable Name Graph and/or Table Rationale for why Appropriate? Variable 1: “Income” Graph: I will use the histogram to show the normal distribution of data. Histogram is one of the best plot to show the normal distribution of quantitative level data . Variable 2: Variable 3: Variable 4: Variable 5:
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