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University of California Los Angeles Displaying Data Discussion Questions
Visual displays of data provide you and anyone else with a graphical display of what is often a complex array of quantitat ...
University of California Los Angeles Displaying Data Discussion Questions
Visual displays of data provide you and anyone else with a graphical display of what is often a complex array of quantitative data. A key strength of visualization is the ability to quickly enlighten you with key data. Rather than solely relying on your audience to interpret numerical values and statistics explained in a narrative, a visual display can easily illustrate descriptions, relationships, and trends. Although the focus is on simplicity, the researcher has an obligation to present these graphical displays in a clear and meaningful way. For this Discussion, you will explore ways to appropriately display data. To prepare for this Discussion: This is just a discussion question Review the Learning Resources for this week related to frequency distributions and graphic displays of data.Using the SPSS software, open the General Social Survey dataset found in this week’s Learning Resources.Next, create a figure or table from a few selected variables within the dataset.Finally, think about what is good about how the data are displayed in the figure or table you created and what is not so good. Post your display of the table or figure you created and provide an explanation of why this would be the best way to display the data provided, include the General Social Survey Dataset’s mean of Age to verify the dataset you used.
Statistical Analysis Report Worksheet
InstructionsYou are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, ...
Statistical Analysis Report Worksheet
InstructionsYou are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have noticed an increase in patients admitted with a particular infectious disease. You believe that the ages of these patients play a critical role in the method used to treat the patients. You decide to speak to your manager, and together you work to use statistical analysis to look more closely at the ages of these patients.You do some research and put together a spreadsheet (attached) of the data that contains the following information:Client numberInfection disease statusAge of the patientYou are to put together a PowerPoint presentation that explains the analysis of your findings which you will submit to your manager. The presentation should contain all components of your findings. For review, the components of the report should include:Brief overview of the scenario and variables in the data setDiscussion, calculation, and interpretation of the mean, median, mode, range, standard deviation, and varianceDiscussion, construction, and interpretation of the 95% confidence intervalExplanation of the full hypothesis testConclusionThe calculations should be performed in your spreadsheet that you will also submit to your manager. You can find additional information on what to add to your PowerPoint presentation in this Word document (attached). Use the questions in the worksheet as your guide for the contents of your presentation.For your final deliverable, submit your PowerPoint presentation and the Excel workbook showing your work. MUST MEET THE FOLLOWING REQUIREMENTS! All problems are solved correctly. Complete and detailed steps are provided to explain how to solve the problem. Explanations demonstrate a mastery of understanding of the statistical concepts and terminology. All variables, equations, and expressions are properly formatted.
SPSS, histogram, descriptive
PART 1: HISTOGRAMS AND DESCRIPTIVE STATISTICSYour first IBM SSPS assessment includes two sections:Create two histograms an ...
SPSS, histogram, descriptive
PART 1: HISTOGRAMS AND DESCRIPTIVE STATISTICSYour first IBM SSPS assessment includes two sections:Create two histograms and provide interpretations.Calculate measures of central tendency and dispersion and provide interpretations.Key Details and InstructionsSubmit your assessment as an attached Word document.Begin your assessment by creating a properly formatted APA title page. Include a reference list at the end of the document if necessary. On page 2, begin Section 1.Organize the narrative report with your SPSS output charts and tables integrated along with your responses to the specific requirements listed for that assessment. (See theCopy/Export Output Instructions in the Resources for instructions on how to do this).Label all tables and graphs in a manner consistent with APA style and formatting guidelines. Citations, if needed, should be included in the text as well as a reference section at the end of the report.For additional help in completing this assessment, refer to the IBM SPSS Step-By-Step Instructions: Histograms and Descriptive Statistics document, linked in the Required Resources.Section 1: Histograms and Visual InterpretationSection 1 will include one histogram of "total" scores for all the males in the data set, and one histogram of "total" scores for all the females in the data set.Create two histograms using the totaland gendervariables in your grades.savdata set:A histogram for male students.A histogram for female students.Below the histograms, provide an interpretation based on your visual inspection. Correctly use all of the following terms in your discussion:Skew.Kurtosis.Outlier.Symmetry.Modality.Comment on any differences between males and females regarding their total scores. Analyze the strengths and limitations of visually interpreting histograms.Section 2: Calculate and Interpret Measures of Central Tendency and DispersionUsing the grades.savfile, compute descriptive statistics, including mean, standard deviation, skewness, and kurtosisfor the following variables:id.gender.ethnicity.gpa.quiz3.total.Below the Descriptives table, complete the following:Indicate which variable(s) are meaningless to interpret in terms of mean, standard deviation, skewness, and kurtosis. Justify your decision.Next, indicate which variable(s) are meaningful to interpret. Justify your decision. For meaningful variables, specify any variables that are in the ideal range for both skewness and kurtosis.Specify any variables that are acceptable but not excellent.Specify any variables that are unacceptable. Explain your decisions.For all meaningful variables, report and interpret the descriptive statistics (mean, standard deviation, skewness, and kurtosis).PART 2: DATA SCREENINGFor this part of the assessment, respond to the following questions:What are the goals of data screening? How can you identify and remedy the following?Errors in data entry.Outliers.Missing data.PART 3: Z-SCORES, TYPE I AND II ERROR, NULL HYPOTHESIS TESTINGThis IBM SPSS assessment includes three sections:Generate z-scores for a variable in grades.sav and report/interpret them.Analyze cases of Type I and Type II error.Analyze cases to either reject or not reject a null hypothesis.The format of this assessment 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). See the Copy/Export Output Instructionsfor instructions on how to do this.Download the z-Scores, Type I and Type II Error, Null Hypothesis Testing Answer Templatefrom the Required Resources, and use the template to complete the following sections:Section 1: z-Scores in SPSS.Section 2: Case Studies of Type I and Type II Error.Section 3: Case Studies of Null Hypothesis Testing.ReferenceGeorge, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.For this three-part assessment, you will create and interpret histograms and compute descriptive statistics for given variables; analyze the goals of data screening; and generate z-scores for variables, analyze types of error, and analyze cases to either reject or not reject a null hypothesis. You will use SPSS software and several course files to complete this assessment.By successfully completing this assignment, you will demonstrate your proficiency in the following areas:Analyze the computation, application, strengths and limitations of various statistical tests.Analyze the strengths and limitations of examining a distribution of scores with a histogram.Analyze the relevant data from the computation, interpretation, and application of z-scores.Analyze real-world application of Type I and Type II errors, and the research decisions that influence the relative risk of each.Analyze the decision-making process of data analysis.Analyze meaningful versus meaningless variables reported in descriptive statistics.Apply the logic of null hypothesis testing to cases.Interpret the results of statistical analyses.Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.Interpret descriptive statistics for meaningful variables.Apply a statistical program's procedure to data.Apply the appropriate SPSS procedures for creating histograms to generate relevant output.Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.Apply the appropriate SPSS procedures for creating z-scores and descriptive statistics to generate relevant output.Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.Communicate in a manner that is scholarly, professional and consistent with expectations for members of the identified field of study.IBM SPSS Statistics Standard GradPack. (The Base GradPack is not acceptable for use in this course.) 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.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 statistics 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_mmrPREPARATIONThis assessment has three parts, each of which is described below. Submit all three parts as Word documents.Note:All the course documents you will need for the assignment are attached.This assessment uses the grades.savfile. The grades.savfile is a sample SPSS data set that is converted from the grades2.datfile. (Use the Data Set Instructionsto convert thegrades2.datfile to the grades.savfile that you will use throughout this course.)The fictional data in the grades.savfile represent a teacher's recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of about 35 students (N = 105).There are 21 variables in grades.sav. To prepare for this assessment, complete the following:Open your grades.sav file and navigate to the "Variable View" tab.Read the Data Set Instructions, and make sure you have the correct Values and Scales of Measurement assigned.
Sample size for proportion
a survey of people reported that 55% of people said they had been in a tornado. How many people must be s ...
Sample size for proportion
a survey of people reported that 55% of people said they had been in a tornado. How many people must be surveyed this year to estimate the percentage of people to be 95% confident that our estimate is within 5% of the true population percentage?
Anticipated Salary
Tom has just received a new job offerHe told that his salary will be $75,000.00 per yearHe is also told that his salary wi ...
Anticipated Salary
Tom has just received a new job offerHe told that his salary will be $75,000.00 per yearHe is also told that his salary will probably be $81,000.00 in four yearsWe will use this data to try to anticipate his future earnings in any given yearAssume that y= Tom's salary amount in dollars and X = the number of years workedUse the date given to find the rate of change, or the salary increase per year (hint: compute the slope)We are now going to use a line model Tom's salary growthUse the data given and the slope value from step 1 to write the slope- intercept form of the lineBased on your equation from step 2, what will Tom's salary be in ten yearsRemember to type and save your assignment as a Microsoft Word documentShow all your steps and use Microsoft equation editor to render all of your algebraic expression View the slideshow assignment above. After completing the review of the slideshow, answer all three parts of the assignment. Remember to type and save your assignment as a Microsoft Word document and show all your work.
QM6640 TROY Medical Debt Critical Thinking Assessment Business Statistics Help
Read the case from the QM 6640 Medical Debt PDF document, and review the data from the QM 6640 Assessment Patient Data Exc ...
QM6640 TROY Medical Debt Critical Thinking Assessment Business Statistics Help
Read the case from the QM 6640 Medical Debt PDF document, and review the data from the QM 6640 Assessment Patient Data Excel file. Then, write a concise report answering questions 1-6 from the end of the case, using the data to assist in justifying your answers. Using past due amount as the dependent variable and all other variables as predictors (independent variables), run appropriate statistical analyses in Excel to mine the data. Insert tables and graphs from Excel in your report as appropriate. Label sections of your report to correspond to the questions. The completed report is the deliverable for this assignment.
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University of California Los Angeles Displaying Data Discussion Questions
Visual displays of data provide you and anyone else with a graphical display of what is often a complex array of quantitat ...
University of California Los Angeles Displaying Data Discussion Questions
Visual displays of data provide you and anyone else with a graphical display of what is often a complex array of quantitative data. A key strength of visualization is the ability to quickly enlighten you with key data. Rather than solely relying on your audience to interpret numerical values and statistics explained in a narrative, a visual display can easily illustrate descriptions, relationships, and trends. Although the focus is on simplicity, the researcher has an obligation to present these graphical displays in a clear and meaningful way. For this Discussion, you will explore ways to appropriately display data. To prepare for this Discussion: This is just a discussion question Review the Learning Resources for this week related to frequency distributions and graphic displays of data.Using the SPSS software, open the General Social Survey dataset found in this week’s Learning Resources.Next, create a figure or table from a few selected variables within the dataset.Finally, think about what is good about how the data are displayed in the figure or table you created and what is not so good. Post your display of the table or figure you created and provide an explanation of why this would be the best way to display the data provided, include the General Social Survey Dataset’s mean of Age to verify the dataset you used.
Statistical Analysis Report Worksheet
InstructionsYou are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, ...
Statistical Analysis Report Worksheet
InstructionsYou are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have noticed an increase in patients admitted with a particular infectious disease. You believe that the ages of these patients play a critical role in the method used to treat the patients. You decide to speak to your manager, and together you work to use statistical analysis to look more closely at the ages of these patients.You do some research and put together a spreadsheet (attached) of the data that contains the following information:Client numberInfection disease statusAge of the patientYou are to put together a PowerPoint presentation that explains the analysis of your findings which you will submit to your manager. The presentation should contain all components of your findings. For review, the components of the report should include:Brief overview of the scenario and variables in the data setDiscussion, calculation, and interpretation of the mean, median, mode, range, standard deviation, and varianceDiscussion, construction, and interpretation of the 95% confidence intervalExplanation of the full hypothesis testConclusionThe calculations should be performed in your spreadsheet that you will also submit to your manager. You can find additional information on what to add to your PowerPoint presentation in this Word document (attached). Use the questions in the worksheet as your guide for the contents of your presentation.For your final deliverable, submit your PowerPoint presentation and the Excel workbook showing your work. MUST MEET THE FOLLOWING REQUIREMENTS! All problems are solved correctly. Complete and detailed steps are provided to explain how to solve the problem. Explanations demonstrate a mastery of understanding of the statistical concepts and terminology. All variables, equations, and expressions are properly formatted.
SPSS, histogram, descriptive
PART 1: HISTOGRAMS AND DESCRIPTIVE STATISTICSYour first IBM SSPS assessment includes two sections:Create two histograms an ...
SPSS, histogram, descriptive
PART 1: HISTOGRAMS AND DESCRIPTIVE STATISTICSYour first IBM SSPS assessment includes two sections:Create two histograms and provide interpretations.Calculate measures of central tendency and dispersion and provide interpretations.Key Details and InstructionsSubmit your assessment as an attached Word document.Begin your assessment by creating a properly formatted APA title page. Include a reference list at the end of the document if necessary. On page 2, begin Section 1.Organize the narrative report with your SPSS output charts and tables integrated along with your responses to the specific requirements listed for that assessment. (See theCopy/Export Output Instructions in the Resources for instructions on how to do this).Label all tables and graphs in a manner consistent with APA style and formatting guidelines. Citations, if needed, should be included in the text as well as a reference section at the end of the report.For additional help in completing this assessment, refer to the IBM SPSS Step-By-Step Instructions: Histograms and Descriptive Statistics document, linked in the Required Resources.Section 1: Histograms and Visual InterpretationSection 1 will include one histogram of "total" scores for all the males in the data set, and one histogram of "total" scores for all the females in the data set.Create two histograms using the totaland gendervariables in your grades.savdata set:A histogram for male students.A histogram for female students.Below the histograms, provide an interpretation based on your visual inspection. Correctly use all of the following terms in your discussion:Skew.Kurtosis.Outlier.Symmetry.Modality.Comment on any differences between males and females regarding their total scores. Analyze the strengths and limitations of visually interpreting histograms.Section 2: Calculate and Interpret Measures of Central Tendency and DispersionUsing the grades.savfile, compute descriptive statistics, including mean, standard deviation, skewness, and kurtosisfor the following variables:id.gender.ethnicity.gpa.quiz3.total.Below the Descriptives table, complete the following:Indicate which variable(s) are meaningless to interpret in terms of mean, standard deviation, skewness, and kurtosis. Justify your decision.Next, indicate which variable(s) are meaningful to interpret. Justify your decision. For meaningful variables, specify any variables that are in the ideal range for both skewness and kurtosis.Specify any variables that are acceptable but not excellent.Specify any variables that are unacceptable. Explain your decisions.For all meaningful variables, report and interpret the descriptive statistics (mean, standard deviation, skewness, and kurtosis).PART 2: DATA SCREENINGFor this part of the assessment, respond to the following questions:What are the goals of data screening? How can you identify and remedy the following?Errors in data entry.Outliers.Missing data.PART 3: Z-SCORES, TYPE I AND II ERROR, NULL HYPOTHESIS TESTINGThis IBM SPSS assessment includes three sections:Generate z-scores for a variable in grades.sav and report/interpret them.Analyze cases of Type I and Type II error.Analyze cases to either reject or not reject a null hypothesis.The format of this assessment 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). See the Copy/Export Output Instructionsfor instructions on how to do this.Download the z-Scores, Type I and Type II Error, Null Hypothesis Testing Answer Templatefrom the Required Resources, and use the template to complete the following sections:Section 1: z-Scores in SPSS.Section 2: Case Studies of Type I and Type II Error.Section 3: Case Studies of Null Hypothesis Testing.ReferenceGeorge, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.For this three-part assessment, you will create and interpret histograms and compute descriptive statistics for given variables; analyze the goals of data screening; and generate z-scores for variables, analyze types of error, and analyze cases to either reject or not reject a null hypothesis. You will use SPSS software and several course files to complete this assessment.By successfully completing this assignment, you will demonstrate your proficiency in the following areas:Analyze the computation, application, strengths and limitations of various statistical tests.Analyze the strengths and limitations of examining a distribution of scores with a histogram.Analyze the relevant data from the computation, interpretation, and application of z-scores.Analyze real-world application of Type I and Type II errors, and the research decisions that influence the relative risk of each.Analyze the decision-making process of data analysis.Analyze meaningful versus meaningless variables reported in descriptive statistics.Apply the logic of null hypothesis testing to cases.Interpret the results of statistical analyses.Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.Interpret descriptive statistics for meaningful variables.Apply a statistical program's procedure to data.Apply the appropriate SPSS procedures for creating histograms to generate relevant output.Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.Apply the appropriate SPSS procedures for creating z-scores and descriptive statistics to generate relevant output.Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.Communicate in a manner that is scholarly, professional and consistent with expectations for members of the identified field of study.IBM SPSS Statistics Standard GradPack. (The Base GradPack is not acceptable for use in this course.) 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.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 statistics 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_mmrPREPARATIONThis assessment has three parts, each of which is described below. Submit all three parts as Word documents.Note:All the course documents you will need for the assignment are attached.This assessment uses the grades.savfile. The grades.savfile is a sample SPSS data set that is converted from the grades2.datfile. (Use the Data Set Instructionsto convert thegrades2.datfile to the grades.savfile that you will use throughout this course.)The fictional data in the grades.savfile represent a teacher's recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of about 35 students (N = 105).There are 21 variables in grades.sav. To prepare for this assessment, complete the following:Open your grades.sav file and navigate to the "Variable View" tab.Read the Data Set Instructions, and make sure you have the correct Values and Scales of Measurement assigned.
Sample size for proportion
a survey of people reported that 55% of people said they had been in a tornado. How many people must be s ...
Sample size for proportion
a survey of people reported that 55% of people said they had been in a tornado. How many people must be surveyed this year to estimate the percentage of people to be 95% confident that our estimate is within 5% of the true population percentage?
Anticipated Salary
Tom has just received a new job offerHe told that his salary will be $75,000.00 per yearHe is also told that his salary wi ...
Anticipated Salary
Tom has just received a new job offerHe told that his salary will be $75,000.00 per yearHe is also told that his salary will probably be $81,000.00 in four yearsWe will use this data to try to anticipate his future earnings in any given yearAssume that y= Tom's salary amount in dollars and X = the number of years workedUse the date given to find the rate of change, or the salary increase per year (hint: compute the slope)We are now going to use a line model Tom's salary growthUse the data given and the slope value from step 1 to write the slope- intercept form of the lineBased on your equation from step 2, what will Tom's salary be in ten yearsRemember to type and save your assignment as a Microsoft Word documentShow all your steps and use Microsoft equation editor to render all of your algebraic expression View the slideshow assignment above. After completing the review of the slideshow, answer all three parts of the assignment. Remember to type and save your assignment as a Microsoft Word document and show all your work.
QM6640 TROY Medical Debt Critical Thinking Assessment Business Statistics Help
Read the case from the QM 6640 Medical Debt PDF document, and review the data from the QM 6640 Assessment Patient Data Exc ...
QM6640 TROY Medical Debt Critical Thinking Assessment Business Statistics Help
Read the case from the QM 6640 Medical Debt PDF document, and review the data from the QM 6640 Assessment Patient Data Excel file. Then, write a concise report answering questions 1-6 from the end of the case, using the data to assist in justifying your answers. Using past due amount as the dependent variable and all other variables as predictors (independent variables), run appropriate statistical analyses in Excel to mine the data. Insert tables and graphs from Excel in your report as appropriate. Label sections of your report to correspond to the questions. The completed report is the deliverable for this assignment.
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