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divide and simplify
(6c)/(2b) divided by (3c)/(8bc)
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Math Ass
30) During the 1998-1999 Little League season, the Tigers played 57 games. They lost 21 more games than they won. How many ...
Math Ass
30) During the 1998-1999 Little League season, the Tigers played 57 games. They lost 21 more games than they won. How many games did they win that ...
GCU Adverse Events in Deceased Hospitalized Cancer & Implementation of Integration Strategies Article Analysi
Search the GCU Library and find two new health care articles that use quantitative research. Do not use articles from a pr ...
GCU Adverse Events in Deceased Hospitalized Cancer & Implementation of Integration Strategies Article Analysi
Search the GCU Library and find two new health care articles that use quantitative research. Do not use articles from a previous assignment, or articles that appear in the Topic Materials or textbook.Complete an article analysis for each using the "Article Analysis: Part 2" template.Refer to the "Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial," in conjunction with the "Article Analysis Example 2," for an example of an article analysis.While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistanceArticle Analysis 2 Article Citation and Permalink (APA format) Article 1 Article 2 Point Description Description Broad Topic Area/Title Define Hypotheses Define Independent and Dependent Variables and Types of Data for Variables Population of Interest for the Study Sample Sampling Method How Were Data Collected?
Conduct Quantitative Business Analysis Excel Task
This project will help you advise your company’s management on the cost of doing business, how to achieve success in inc ...
Conduct Quantitative Business Analysis Excel Task
This project will help you advise your company’s management on the cost of doing business, how to achieve success in income revenues, and make recommendations on the allocation of salaries across the company. Management will be able to use your analysis to fairly adjust salary anomalies, and also show profitability which might be used for further investments, hiring additional staff, or even employee incentive pay.Over this two-week period, you will use mathematical operations and data analysis to solve problems and inform decision making. Your final assignment will be the creation of a comprehensive Excel workbook with supporting charts and graphs and a short analysis of the data.This project will enable you to refresh and refine your skills in math and statistics before you tackle a real-world data set using Excel to analyze and display the data.Quantitative reasoning uses a process similar to the qualitative research process in that you will first identify an issue or problem and then use mathematical formulas or an analytic tool to derive a solution. You will construct graphs, charts, and tables to display data and inform analysis and interpretation. You will evaluate the results of the information, draw analyses and validate them by applying them to the issue or problem.This project will enable you to see the connection between data and how the use of quantitative analysis of that data informs solutions to practical problems with potential impact on your organization or industry.There are 10 steps that will lead you through this project. Each step should take no more than two hours to complete. Begin by watching the video above, which introduces the project as it might occur in the workplace, and then continue with Step 1: Refresh Your Math, Statistics, and Excel Skills.Step 1: Refresh Your Math, Statistics and Excel Skills Everyone will begin this project with different background skills in math, statistics and Excel. Let’s start by thinking about what it means to engage in quantitative processes and the role these skills play in this project.Next, assess your current baseline by refreshing your skills in math, statistics, and Excel. You will choose how much you already know and where you need to concentrate more attention in order to complete this quantitative analysis project.After this refresher, you will create a spreadsheet based on the template provided in the next step.If you need help outside the classroom, register for the STAT 689 tutoring room (go to the Project 4 Discussion for registration information) in which you can access tutoring help and other resources to complete this project successfully. Help is free and immediate.Step 2: Set Up Your Spreadsheet Now that you’ve assessed and refreshed these important skills, you’re ready to begin. First download the Excel template and use it to set up your spreadsheet. This step has you set up a basic view in preparation for the use of several tools.After you’ve formatted and set up the basic view and saved it with your name, you’re ready to move to the next step and add data.Step 3: Add Data With the spreadsheet set up and saved with your last name, you're ready to add data. In Section 1 on the Data page, complete each column of the spreadsheet to arrive at the desired calculations.When you're ready, move on to the next step, where you will use functions to summarize the data.Step 4: Use Functions to Summarize the Data With the data built, you are ready to start using tools to summarize the data, using Countif and the Sum function to do the math. In this step, you'll begin to see patterns in the data and the story of the workforce.Take a breather here if you need it. You should strive to work through the first four steps this week. Check in with your instructor.With this step complete, you’re ready to begin your analysis.Step 5: Analyze the Workforce You’ve summarized the data. Next, you will employ descriptive or summary statistics to analyze the workforce. Your summary tables described "how many." Now you will calculate mean, median, and mode for the categories of data, and derive the deviation, variance, and dispersion, and distribution. This is where it gets interesting.You will be working in Section 3 of the Data tab in the spreadsheet to complete the descriptive statistics for the five categories (Salary, Hourly Rate, Years of Service, Education, and Age). Using Excel formulas, complete the table.After you have used Excel formulas to find this information, you will next use the Toolpak to find summary statistics.Step 6: Use the Analysis Toolpak Your data set is now built. Now, you will use the same functions to perform the Descriptive Analysis Using the Analysis Toolpak. This is a handy feature to know. Remember that there may be some minor differences in the answers depending on the version.You should now have Tab 2 complete: Excel Summary Stats. Next, you'll create charts and a histogram for Tabs 3 and 4.Step 7: Create Charts and a Histogram Where would we be without the ability to view data in charts? It is sometimes easier to grasp the context of data if it is captured in an image. In this step, you will work with data to create charts, adding a tab for charts, and another for a histogram.In this step, you will build Tab 3: Graphs—Charts and Tab 4: Histogram. After you complete these tabs, you’ll be ready to sort the data.Step 8: Copy and Sort the Data You’ve accomplished a lot with the data set, summary stats, charts, and histograms. Another skill you’ll need to be able to do is sorting data in an Excel worksheet for reporting purposes. You’ll copy the data so that you can learn how to sort it. This is a good skill that applies to any Excel application.In this step, you will create Tab 5: Sorted Data. When you’re finished, you’ll be ready to conduct a quantitative analysis.See below for example of a sorted spreadsheet.Used with permission from Microsoft.Step 9: Conduct Quantitative AnalysisIn this step, your hard work bears fruit. What does it all mean? Think back to your boss's reasons for tasking you with this project. Bring your powers of analysis to bear to determine what the data may be telling you. Apply your quantitative reasoning skills to answer five questions that demonstrate your interpretation of the data. The questions are located on the QR Questions_Responses tab in your workbook.After answering the five questions, finish the project by writing a short essay. The essay will include:a one-paragraph narrative summary of your findings, describing patterns of interestan explanation of the potential relevance of such patternsa description of how you would investigate further to determine if your results could be perceived as good or bad for the company.Prepare your responses in your workbook on the QR Questions_Responses tab.Good job! In the next step, you’ll submit the workbook and analysis.Step 10: Submit Your Completed Workbook and Analysis You’re now ready to submit the workbook and analysis for review and feedback. Review the requirements for the final deliverable to be sure you have:Excel Workbook with Six TabsTab 1: Data – completed data sheet (Steps 1–6 above)Tab 2: Excel Summary Stats (Step 6)Tab 3: Graphs – Charts (Step 7)Tab 4: Histogram (Step 7)Tab 5: Sorted Data (Step 8)Quantitative Analysis (Step 9; see detail below and move to first position upon completion.)Quantitative Analysis: Answers to Questions and Short EssayPrepare your response in this workbook. Create a tab for Quantitative Analysis, create a text box, and paste your answers to the questions in it. Move the Quantitative Analysis tab to the first tab position.Your final workbook tabs:Quantitative AnalysisDataExcel Summary StatsGraphs–ChartsHistogramSorted DataFormat to Be PrintedFormat this workbook so that all the spreadsheets can be printed.
University Of Cumberlands Research Project Discussion
QUESTION 1Data Set 1-3For her research project, Susan gathered data from 76 students who filled out a questionnaire about ...
University Of Cumberlands Research Project Discussion
QUESTION 1Data Set 1-3For her research project, Susan gathered data from 76 students who filled out a questionnaire about exercise and GPA. From the exercise portion, students were classified as sedentary, moderate, or vigorous exercisers. GPA’s were expressed in the usual decimal form. In Data Set 1-3, the number of levels of the independent variable for Susan’s experiment wasa.2;b.3;c.4;d.none of the other alternatives; answer is ____e.76;1 points QUESTION 2Data Set 1-7In Blaine’s experiment participants tasted three different picante sauces and indicated their favorite. Everyone participated after supper on Monday or Tuesday. After the participants were classified as preferring hot, medium, or mild sauce, they filled out the White Risk Inventory, a measure that yields a score of 0 to 15 and indicates how likely a person is to engage in risky adventures. The number of levels of the independent variable in Data Set 1-7 isa.cannot be determined from the information given.b.15;c.2;d.3;1 points QUESTION 3Data Set 1-3For her research project, Susan gathered data from 76 students who filled out a questionnaire about exercise and GPA. From the exercise portion, students were classified as sedentary, moderate, or vigorous exercisers. GPA’s were expressed in the usual decimal form. The independent variable for Data Set 1-3 wasa.exercise classification.b.the number of students who filled out the questionnaire;c.GPA;d.kind of project;1 points QUESTION 4In an experiment on the effect of sleep on memory, the independent variable might bea.recall score on a testb.gender of the experimenterc.number of hours of sleepd.gender of the subjects1 points QUESTION 5Your text said that the end point of analyzing a data set isa.a feeling of satisfactionb.a story that explains relationshipsc.a quantitative home based.a foundation for future research1 points QUESTION 6Epistemology deals with the nature ofa.none of the other alternatives are correctb.philosophyc.knowledged.psychology1 points QUESTION 7Data Set 1-7In Blaine’s experiment participants tasted three different picante sauces and indicated their favorite. Everyone participated after supper on Monday or Tuesday. After the participants were classified as preferring hot, medium, or mild sauce, they filled out the White Risk Inventory, a measure that yields a score of 0 to 15 and indicates how likely a person is to engage in risky adventures. The dependent variable in Blaine’s experiment (Data Set 1-7) isa.number of people who participated.b.score on the White Risk Inventory;c.day of the week they participated;d.choice of picante sauce;1 points QUESTION 8You never have a lower and an upper limit for a(n)a.categorical variableb.score on the ratio scalec.dependent variabled.IQ score1 points QUESTION 9A story that explains relationships is, according to your text,a.the categorical counterpart to a quantitative analysisb.the best hypothesis to use as a starting pointc.the end point of analyzing a data setd.a hindrance to an objective analysis of a data set1 points QUESTION 10Which of the following is not one of the four categories of statisticians described by Kirk?a.computer experts who use computers to find statistics answersb.those who are able to understand material that is presented statisticallyc.mathematical statisticians who develop new techniquesd.professional statisticians who help others1 points QUESTION 11Removing the extreme scores from both tails of the distribution before calculating a central tendency statistics produces aa.truncated meanb.re-tooled meanc.trimmed meand.two-tailed mean1 points QUESTION 12In which situation would the mean be an appropriate measure of central tendency?a.None of the other alternatives are correctb.Most of the scores are near the minimum, a few are in the middle range, and there are almost none near the maximumc.The data categories in the soil analysis are: 0-2 ppm, 3-5 ppm, 6-8 ppm, 9-11 ppm, and over 11 ppmd.We have frequency data on cows, horses, mules, and goats1 points QUESTION 13Data Set 3-1 A student was interested in the structure of the families in the U.S. He sampled 29 of his 330 classmates asking the question, “How many children are there in your family?” He compiled the answers into a simple frequency distribution: C ¦ 7 1 5 2 4 3 3 6 2 10 1 7 Refer to Data Set 3-1. The mode isa.7b.8c.10d.21 points QUESTION 14Which of the following was not listed as a requirement for a fairly complete understanding of a distribution?a.Normalityb.Central tendencyc.Formd.Variability1 points QUESTION 15The median of 4, 3, 4, 2, 3, 4, 4, isa.4.5b.3.5c.none of the other alternatives are correct; the answer is _________d.31 points QUESTION 16The mean temperature for January was 30 °F. In February the mean was 25 °F and for March the mean was 35°F. The weighted mean for these three months isa.30°Fb.less than 30°Fc.greater than 30°F1 points QUESTION 17Usually, a frequency distribution with a mean of 100 and a median of 90 isa.negatively skewedb.positively skewedc.symmetricald.cannot be determined without knowing the mode1 points QUESTION 18The situation that prompts the calculation of a weighted mean is thata.the distribution is severely skewedb.the scale of measurement is not specifiedc.the distribution has humps in both tailsd.several samples have different N’s1 points QUESTION 19Which of the following was not listed as a requirement for a fairly complete understanding of a distribution?a.Variabilityb.Densityc.Formd.Central tendency1 points QUESTION 20For a negatively skewed curve, the usual case with continuous data is thata.low scores are more frequent than high scores and the median is greater than the meanb.low scores are more frequent than high scores and the mean is greater than the medianc.high scores are more frequent than low scores and the mean is greater than the mediand.high scores are more frequent than low scores and the median is greater than the mean1 points Click Save and Submit to save and submit. Click Save All Answers to save all answers.
"Questions to be Graded: Exercise 26" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice
Use MS Word to complete "Questions to be Graded: Exercise 26" in Statistics for Nursing Research: A Workbook for Evidence- ...
"Questions to be Graded: Exercise 26" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice
Use MS Word to complete "Questions to be Graded: Exercise 26" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate.
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Math Ass
30) During the 1998-1999 Little League season, the Tigers played 57 games. They lost 21 more games than they won. How many ...
Math Ass
30) During the 1998-1999 Little League season, the Tigers played 57 games. They lost 21 more games than they won. How many games did they win that ...
GCU Adverse Events in Deceased Hospitalized Cancer & Implementation of Integration Strategies Article Analysi
Search the GCU Library and find two new health care articles that use quantitative research. Do not use articles from a pr ...
GCU Adverse Events in Deceased Hospitalized Cancer & Implementation of Integration Strategies Article Analysi
Search the GCU Library and find two new health care articles that use quantitative research. Do not use articles from a previous assignment, or articles that appear in the Topic Materials or textbook.Complete an article analysis for each using the "Article Analysis: Part 2" template.Refer to the "Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial," in conjunction with the "Article Analysis Example 2," for an example of an article analysis.While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistanceArticle Analysis 2 Article Citation and Permalink (APA format) Article 1 Article 2 Point Description Description Broad Topic Area/Title Define Hypotheses Define Independent and Dependent Variables and Types of Data for Variables Population of Interest for the Study Sample Sampling Method How Were Data Collected?
Conduct Quantitative Business Analysis Excel Task
This project will help you advise your company’s management on the cost of doing business, how to achieve success in inc ...
Conduct Quantitative Business Analysis Excel Task
This project will help you advise your company’s management on the cost of doing business, how to achieve success in income revenues, and make recommendations on the allocation of salaries across the company. Management will be able to use your analysis to fairly adjust salary anomalies, and also show profitability which might be used for further investments, hiring additional staff, or even employee incentive pay.Over this two-week period, you will use mathematical operations and data analysis to solve problems and inform decision making. Your final assignment will be the creation of a comprehensive Excel workbook with supporting charts and graphs and a short analysis of the data.This project will enable you to refresh and refine your skills in math and statistics before you tackle a real-world data set using Excel to analyze and display the data.Quantitative reasoning uses a process similar to the qualitative research process in that you will first identify an issue or problem and then use mathematical formulas or an analytic tool to derive a solution. You will construct graphs, charts, and tables to display data and inform analysis and interpretation. You will evaluate the results of the information, draw analyses and validate them by applying them to the issue or problem.This project will enable you to see the connection between data and how the use of quantitative analysis of that data informs solutions to practical problems with potential impact on your organization or industry.There are 10 steps that will lead you through this project. Each step should take no more than two hours to complete. Begin by watching the video above, which introduces the project as it might occur in the workplace, and then continue with Step 1: Refresh Your Math, Statistics, and Excel Skills.Step 1: Refresh Your Math, Statistics and Excel Skills Everyone will begin this project with different background skills in math, statistics and Excel. Let’s start by thinking about what it means to engage in quantitative processes and the role these skills play in this project.Next, assess your current baseline by refreshing your skills in math, statistics, and Excel. You will choose how much you already know and where you need to concentrate more attention in order to complete this quantitative analysis project.After this refresher, you will create a spreadsheet based on the template provided in the next step.If you need help outside the classroom, register for the STAT 689 tutoring room (go to the Project 4 Discussion for registration information) in which you can access tutoring help and other resources to complete this project successfully. Help is free and immediate.Step 2: Set Up Your Spreadsheet Now that you’ve assessed and refreshed these important skills, you’re ready to begin. First download the Excel template and use it to set up your spreadsheet. This step has you set up a basic view in preparation for the use of several tools.After you’ve formatted and set up the basic view and saved it with your name, you’re ready to move to the next step and add data.Step 3: Add Data With the spreadsheet set up and saved with your last name, you're ready to add data. In Section 1 on the Data page, complete each column of the spreadsheet to arrive at the desired calculations.When you're ready, move on to the next step, where you will use functions to summarize the data.Step 4: Use Functions to Summarize the Data With the data built, you are ready to start using tools to summarize the data, using Countif and the Sum function to do the math. In this step, you'll begin to see patterns in the data and the story of the workforce.Take a breather here if you need it. You should strive to work through the first four steps this week. Check in with your instructor.With this step complete, you’re ready to begin your analysis.Step 5: Analyze the Workforce You’ve summarized the data. Next, you will employ descriptive or summary statistics to analyze the workforce. Your summary tables described "how many." Now you will calculate mean, median, and mode for the categories of data, and derive the deviation, variance, and dispersion, and distribution. This is where it gets interesting.You will be working in Section 3 of the Data tab in the spreadsheet to complete the descriptive statistics for the five categories (Salary, Hourly Rate, Years of Service, Education, and Age). Using Excel formulas, complete the table.After you have used Excel formulas to find this information, you will next use the Toolpak to find summary statistics.Step 6: Use the Analysis Toolpak Your data set is now built. Now, you will use the same functions to perform the Descriptive Analysis Using the Analysis Toolpak. This is a handy feature to know. Remember that there may be some minor differences in the answers depending on the version.You should now have Tab 2 complete: Excel Summary Stats. Next, you'll create charts and a histogram for Tabs 3 and 4.Step 7: Create Charts and a Histogram Where would we be without the ability to view data in charts? It is sometimes easier to grasp the context of data if it is captured in an image. In this step, you will work with data to create charts, adding a tab for charts, and another for a histogram.In this step, you will build Tab 3: Graphs—Charts and Tab 4: Histogram. After you complete these tabs, you’ll be ready to sort the data.Step 8: Copy and Sort the Data You’ve accomplished a lot with the data set, summary stats, charts, and histograms. Another skill you’ll need to be able to do is sorting data in an Excel worksheet for reporting purposes. You’ll copy the data so that you can learn how to sort it. This is a good skill that applies to any Excel application.In this step, you will create Tab 5: Sorted Data. When you’re finished, you’ll be ready to conduct a quantitative analysis.See below for example of a sorted spreadsheet.Used with permission from Microsoft.Step 9: Conduct Quantitative AnalysisIn this step, your hard work bears fruit. What does it all mean? Think back to your boss's reasons for tasking you with this project. Bring your powers of analysis to bear to determine what the data may be telling you. Apply your quantitative reasoning skills to answer five questions that demonstrate your interpretation of the data. The questions are located on the QR Questions_Responses tab in your workbook.After answering the five questions, finish the project by writing a short essay. The essay will include:a one-paragraph narrative summary of your findings, describing patterns of interestan explanation of the potential relevance of such patternsa description of how you would investigate further to determine if your results could be perceived as good or bad for the company.Prepare your responses in your workbook on the QR Questions_Responses tab.Good job! In the next step, you’ll submit the workbook and analysis.Step 10: Submit Your Completed Workbook and Analysis You’re now ready to submit the workbook and analysis for review and feedback. Review the requirements for the final deliverable to be sure you have:Excel Workbook with Six TabsTab 1: Data – completed data sheet (Steps 1–6 above)Tab 2: Excel Summary Stats (Step 6)Tab 3: Graphs – Charts (Step 7)Tab 4: Histogram (Step 7)Tab 5: Sorted Data (Step 8)Quantitative Analysis (Step 9; see detail below and move to first position upon completion.)Quantitative Analysis: Answers to Questions and Short EssayPrepare your response in this workbook. Create a tab for Quantitative Analysis, create a text box, and paste your answers to the questions in it. Move the Quantitative Analysis tab to the first tab position.Your final workbook tabs:Quantitative AnalysisDataExcel Summary StatsGraphs–ChartsHistogramSorted DataFormat to Be PrintedFormat this workbook so that all the spreadsheets can be printed.
University Of Cumberlands Research Project Discussion
QUESTION 1Data Set 1-3For her research project, Susan gathered data from 76 students who filled out a questionnaire about ...
University Of Cumberlands Research Project Discussion
QUESTION 1Data Set 1-3For her research project, Susan gathered data from 76 students who filled out a questionnaire about exercise and GPA. From the exercise portion, students were classified as sedentary, moderate, or vigorous exercisers. GPA’s were expressed in the usual decimal form. In Data Set 1-3, the number of levels of the independent variable for Susan’s experiment wasa.2;b.3;c.4;d.none of the other alternatives; answer is ____e.76;1 points QUESTION 2Data Set 1-7In Blaine’s experiment participants tasted three different picante sauces and indicated their favorite. Everyone participated after supper on Monday or Tuesday. After the participants were classified as preferring hot, medium, or mild sauce, they filled out the White Risk Inventory, a measure that yields a score of 0 to 15 and indicates how likely a person is to engage in risky adventures. The number of levels of the independent variable in Data Set 1-7 isa.cannot be determined from the information given.b.15;c.2;d.3;1 points QUESTION 3Data Set 1-3For her research project, Susan gathered data from 76 students who filled out a questionnaire about exercise and GPA. From the exercise portion, students were classified as sedentary, moderate, or vigorous exercisers. GPA’s were expressed in the usual decimal form. The independent variable for Data Set 1-3 wasa.exercise classification.b.the number of students who filled out the questionnaire;c.GPA;d.kind of project;1 points QUESTION 4In an experiment on the effect of sleep on memory, the independent variable might bea.recall score on a testb.gender of the experimenterc.number of hours of sleepd.gender of the subjects1 points QUESTION 5Your text said that the end point of analyzing a data set isa.a feeling of satisfactionb.a story that explains relationshipsc.a quantitative home based.a foundation for future research1 points QUESTION 6Epistemology deals with the nature ofa.none of the other alternatives are correctb.philosophyc.knowledged.psychology1 points QUESTION 7Data Set 1-7In Blaine’s experiment participants tasted three different picante sauces and indicated their favorite. Everyone participated after supper on Monday or Tuesday. After the participants were classified as preferring hot, medium, or mild sauce, they filled out the White Risk Inventory, a measure that yields a score of 0 to 15 and indicates how likely a person is to engage in risky adventures. The dependent variable in Blaine’s experiment (Data Set 1-7) isa.number of people who participated.b.score on the White Risk Inventory;c.day of the week they participated;d.choice of picante sauce;1 points QUESTION 8You never have a lower and an upper limit for a(n)a.categorical variableb.score on the ratio scalec.dependent variabled.IQ score1 points QUESTION 9A story that explains relationships is, according to your text,a.the categorical counterpart to a quantitative analysisb.the best hypothesis to use as a starting pointc.the end point of analyzing a data setd.a hindrance to an objective analysis of a data set1 points QUESTION 10Which of the following is not one of the four categories of statisticians described by Kirk?a.computer experts who use computers to find statistics answersb.those who are able to understand material that is presented statisticallyc.mathematical statisticians who develop new techniquesd.professional statisticians who help others1 points QUESTION 11Removing the extreme scores from both tails of the distribution before calculating a central tendency statistics produces aa.truncated meanb.re-tooled meanc.trimmed meand.two-tailed mean1 points QUESTION 12In which situation would the mean be an appropriate measure of central tendency?a.None of the other alternatives are correctb.Most of the scores are near the minimum, a few are in the middle range, and there are almost none near the maximumc.The data categories in the soil analysis are: 0-2 ppm, 3-5 ppm, 6-8 ppm, 9-11 ppm, and over 11 ppmd.We have frequency data on cows, horses, mules, and goats1 points QUESTION 13Data Set 3-1 A student was interested in the structure of the families in the U.S. He sampled 29 of his 330 classmates asking the question, “How many children are there in your family?” He compiled the answers into a simple frequency distribution: C ¦ 7 1 5 2 4 3 3 6 2 10 1 7 Refer to Data Set 3-1. The mode isa.7b.8c.10d.21 points QUESTION 14Which of the following was not listed as a requirement for a fairly complete understanding of a distribution?a.Normalityb.Central tendencyc.Formd.Variability1 points QUESTION 15The median of 4, 3, 4, 2, 3, 4, 4, isa.4.5b.3.5c.none of the other alternatives are correct; the answer is _________d.31 points QUESTION 16The mean temperature for January was 30 °F. In February the mean was 25 °F and for March the mean was 35°F. The weighted mean for these three months isa.30°Fb.less than 30°Fc.greater than 30°F1 points QUESTION 17Usually, a frequency distribution with a mean of 100 and a median of 90 isa.negatively skewedb.positively skewedc.symmetricald.cannot be determined without knowing the mode1 points QUESTION 18The situation that prompts the calculation of a weighted mean is thata.the distribution is severely skewedb.the scale of measurement is not specifiedc.the distribution has humps in both tailsd.several samples have different N’s1 points QUESTION 19Which of the following was not listed as a requirement for a fairly complete understanding of a distribution?a.Variabilityb.Densityc.Formd.Central tendency1 points QUESTION 20For a negatively skewed curve, the usual case with continuous data is thata.low scores are more frequent than high scores and the median is greater than the meanb.low scores are more frequent than high scores and the mean is greater than the medianc.high scores are more frequent than low scores and the mean is greater than the mediand.high scores are more frequent than low scores and the median is greater than the mean1 points Click Save and Submit to save and submit. Click Save All Answers to save all answers.
"Questions to be Graded: Exercise 26" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice
Use MS Word to complete "Questions to be Graded: Exercise 26" in Statistics for Nursing Research: A Workbook for Evidence- ...
"Questions to be Graded: Exercise 26" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice
Use MS Word to complete "Questions to be Graded: Exercise 26" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate.
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