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BUS 2001 Capella University Analyzing Data With Descriptive Statistics Question
Assessment 3 Instructions: Analyzing Data With Descriptive StatisticsPRINTUse a data generator to produce data for the que ...
BUS 2001 Capella University Analyzing Data With Descriptive Statistics Question
Assessment 3 Instructions: Analyzing Data With Descriptive StatisticsPRINTUse a data generator to produce data for the questions you developed in the previous assessment.IntroductionNote: Complete Assessment 2 before completing this assessment .In this assessment, you will use a data generator to produce data for your previously developed questions. You will then summarize the data by calculating various descriptive statistics and present the results graphically.Demonstration of ProficiencyBy successfully completing this assessment, you will demonstrate your proficiency in the following course competencies through the following assessment scoring guide criteria.Competency 1: Interpret a data set's central tendency and variability using descriptive statistical procedures.Calculate proportions correctly.Calculate means correctly.Calculate medians correctly.Calculate modes correctly.Calculate standard deviations correctly.Calculate ranges correctly.Competency 4: Solve problems in your personal and professional life by applying statistical procedures.Explain interesting findings or comparisons as a table, graph, or chart.Note: Complete Assessment 2 before completing this assessment.The following resources are required to complete Assessment 3. For this assessment, it very important that you have a good grasp on using Excel for numerical calculations and graphing. Review the resources as needed before attempting Assessment 3.Data Generator LinkUse the Survey Data Generator, which will provide you with simulated data for the questions you specified in Assessment 2. Enter the minimum value, maximum value, and expected value/typical response value you specified for the quantitative questions (Q5 and Q6) in Assessment 2. Then, click "Download Excel Spreadsheet." The Excel file will be saved in the download folder of your computer.Note: You might receive an alert about the file extension of the downloaded Survey Data Generator file. Click "Yes" to open the file.SoftwareCapella University requires learners to meet certain minimum computer requirements. As a Capella learner, to purchase some required or recommended software at a substantially reduced price, visit the Capella Software Store. Some software required for a course may exceed these requirements, in which case it will be provided to you via a virtual desktop or as part of your course materials. The following software is required to complete learning activities in this assessment.Microsoft Excel: Version 2010 or newer.Windows PC users: The Analysis Toolpak in Excel is a free add-in program—it provides data analysis tools that allow you to complete more complex statistical functions. If you do not yet have the add-in available in Excel, see instructions in Microsoft's Loading the Analysis Toolpak in Excel.Mac users: MS Excel 2016 has an available Toolpak add-in. For all other Mac users: StatPlus: mac LE is the free equivalent for Apple users, but must be downloaded from AnalystSoft.Microsoft Office/Excel ResourcesMicrosoft Corporation. (n.d.). Office support. Retrieved from http://office.microsoft.com/en-us/supportLoading the Analysis Toolpak in Excel. Retrieved from https://support.office.com/en-us/article/Load-the-...AnalystSoft. (n.d.). StatPlus: mac LE. Retrieved from https://www.analystsoft.com/en/products/statplusma...After having defined your survey questions in Assessment 2, you are now able to produce data. This will be done by using a data generator tool that generates hypothetical data for the questions you developed in Assessment 2. The data generator gives you information similar to what you might get when conducting the survey with actual persons.Once you have obtained the data by using the generator tool, use Excel to conduct your analysis and interpret the data using descriptive statistics and visual representations of the data.Data Generation and PreparationStep 1: Generate Data Using the Survey Data Generator.Open the Survey Data Generator. The Survey Data Generator will generate responses to the set of six survey questions you previously defined. It knows nothing about the particular subject of your study; it only generates a set of responses to question types that are pre-defined.Type the minimum, the maximum, and the expected values for questions 5 and 6 into the Survey Data Generator. (These are values for the quantitative questions from Table 1 of your completed Data Collection Template.) Note that the generator has spaces only for the values for your two quantitative questions.For the top set of boxes, enter the values for question 5.For the bottom set of boxes, enter the values for question 6.You must enter a single number for the minimum, the maximum, and the expected value for each of these questions.Do not enter any commas, decimal points, or other symbols.You will not enter anything into the generator for your binary questions (1–4). The tool knows that the only possible responses for these questions are 0 and 1. It will automatically generate 0s and 1s for the responses to your binary questions. Assign 0 and 1 to the two possible responses; it is up to you which response to assign 0 and which to assign 1. For example, if you asked "Are you male of female?" you could make Male = 0 and Female = 1, or vice versa.The Survey Data Generator will create an Excel file that represents responses to your questions. Once you have your unique survey data in Excel, you can apply descriptive statistics to the data and present your results in different visual representations to help an audience easily scan and understand your results.Explanation of data in Excel:There will be six columns (A–F) in Excel: one column for each question (1–6).Columns A–D represent the responses for questions 1–4 and should only contain 0s and 1s. Columns E and F represent the responses for questions 5–6 and should contain numbers between your minimum and maximum.Each row will represent the responses from one survey participant. For example, the first row of answers represents the first survey participant's answers to all six questions. The second row of answers represents the second survey participant's answers to the questions, and so forth. The number of rows of answers is how many participants completed the survey.If a column contains all the same numbers, you need to use the Survey Data Generator again. There has to be variation in these responses for you to statistically analyze the data. Check to see that columns 1 through 4 contain a mix of 0s and 1s and that columns 5 and 6 contain a range of different numbers between your minimum and maximum.Step 2: Prepare for Data Analysis in Excel.To be able to create a histogram in Excel, you need to be able to access the Data Analysis command. It should be visible on the Data tab, in the Analysis group to the far right in Excel. If it is not visible, you will need to install the Analysis ToolPak add-in.For instructions on loading the Analysis ToolPak add-in as well as for creating histograms, which is one of your tasks in this assessment, follow the steps on the Microsoft Microsoft Office Support site. Mac users: StatPlus: mac LE is the free equivalent for Apple users, but must be downloaded from AnalystSoft. Note: MS Excel 2016 now has an available Toolpak add-in. For more information, see the Software section under Required Resources.Enter the word "histogram" into the search box, and you will find information on how to install the ToolPak for your version of Excel as well as information on histograms.If you are not familiar with using Excel and its functions, a variety of helpful resources are provided in the Resources. In addition, you can choose any of the Excel tutorials from the Supplemental Resources in the left navigation menu of your courseroom.Technology note: You will need to sort or rearrange your data to accomplish some of these tasks. Be sure you keep a copy of your original Excel file as a backup.Results note: Because the survey data generation is done without context, you will have to put aside any preconceived notions about how your data should look. Your task is to analyze, interpret, and communicate the unique results.Data Analysis and InterpretationComplete your analysis (Parts 1–3) on one Excel sheet. Include the following components in your analysis of the data. You may wish to refer to the Analyzing Data With Descriptive Statistics Example [PDF] for further explanation. Note that in order to cover all the survey questions, your submission should include more tables, graphs, and charts than you see in the example.Part 1: Questions 1, 2, 3, and 4 (Binary Questions)Each question 1–4 should have the following elements:Sample size.Sample proportion of each response.Bar chart or pie chart.Part 2: Questions 5 and 6 (Quantitative Questions)Questions 5 and 6 should have the following elements:Sample mean.Sample median.Sample mode.Sample range.Sample standard deviation.Sample minimum and maximum.Histogram.Part 3: Exploration of DataNext, explore your data a bit further. What are two interesting findings from your survey responses? You might investigate responses for selected variables based on responses to your binomial questions. For example, if the answer to question 1 was Male or Female and to question 6 was Annual Income, you might examine average annual income for males only and females only and compare these results. Present your findings in an appropriate table, graph, or chart. Then write, in the same Excel spreadsheet, a 1–2 paragraph summary of your findings.Assessment Submission InstructionsSubmit your Excel spreadsheet containing Parts 1–3. Before submitting your assessment, verify you have included all of the elements listed above for Parts 1–3. It is important to note that you should have:Four bar graphs (or four pie charts), one each for questions 1–4.Two histograms, one each for questions 5 and 6.Two tables, graphs, or charts to represent interesting findings from your survey responses. Include a 1–2 paragraph summary of your findings.
Statistics MTH128
Homework questions MTH128. There is 30 questions to answer, see below the name of the book. Elementary Statistics: Picturi ...
Statistics MTH128
Homework questions MTH128. There is 30 questions to answer, see below the name of the book. Elementary Statistics: Picturing the World Six Edition Ron Larson and Betsy Farber
4 pages
20200308231319week2 Application Assignment
Answer the following questions using Excel Analysis Tool Pack. Any graphs in Excel should be cut and paste on this Word do ...
20200308231319week2 Application Assignment
Answer the following questions using Excel Analysis Tool Pack. Any graphs in Excel should be cut and paste on this Word document. You will turn in a ...
ASALLC Concrete Foundation for a Residential Building Project Worksheet
Refer to Sheets 1, 2, and 4 from the Sullivan residential building plans in the Large Prints supplement to answer the
fol ...
ASALLC Concrete Foundation for a Residential Building Project Worksheet
Refer to Sheets 1, 2, and 4 from the Sullivan residential building plans in the Large Prints supplement to answer the
following questions. Complete activty 10-1 complete the 7 questions and fill the answers in on the form AND SAVE AS A PDF.
Hillsborough Community College Nonparametric Tests Discussion
Choose two of the following three questions and post your answer:1. In your own words, what is a nonparametric test? Wha ...
Hillsborough Community College Nonparametric Tests Discussion
Choose two of the following three questions and post your answer:1. In your own words, what is a nonparametric test? What is a parametric test (Section 13-2)?2. In your own words, identify an advantage of using rank correlation instead of linear correlation (Section 13-6).3. In your own words, what is the difference between a nonparametric test and a distribution-free test (Section 13-7)?use your own words!!Replies:Andressa- 1. In your own words, what is a nonparametric test? What is a parametric test (Section 13-2)?The parametric test is the hypothesis test which provides generalisations for making statements about the mean of the parent population. A t-test based on Student’s t-statistic, which is often used in this regard. The t-statistic rests on the underlying assumption that there is the normal distribution of variable and the mean in known or assumed to be known. The population variance is calculated for the sample. It is assumed that the variables of interest, in the population are measured on an interval scale.The nonparametric test is defined as the hypothesis test which is not based on underlying assumptions, i.e. it does not require population’s distribution to be denoted by specific parameters. The test is mainly based on differences in medians. Hence, it is alternately known as the distribution-free test. The test assumes that the variables are measured on a nominal or ordinal level. It is used when the independent variables are non-metric.3. In your own words, what is the difference between a nonparametric test and a distribution-free test (Section 13-7)?Nonparametric Test: Those procedures that test hypotheses that tests hypotheses that are not statements about population parameters are classified as nonparametric.Distribution free procedure: Those procedures that make no assumption about the sampled population are called distribution free procedures.Greg- Rank correlation had an advantage over linear correlation in that it can be used when data is not normal, but it's either categorical or ordinal. Linear correlation only applies when the data is normal and follows a linear pattern. Rank correlation allows us to find the correlation for data that does not fit this. Parametric tests are used when we have assumptions about the distribution of the population that the data was taken from. An example of this would be t tests. In contrast, nonparametric tests are not based on such assumptions and the data can be from a population that is not normally distributed. The Wilcoxon test is a nonparametric test.
PSY 805 Langston University Evaluate Statistical Analyses
This week, you have learned about t-tests and ANOVA and will apply what you have learned in the evaluation of several rese ...
PSY 805 Langston University Evaluate Statistical Analyses
This week, you have learned about t-tests and ANOVA and will apply what you have learned in the evaluation of several research scenarios (Hyperlink and the 3 attached files). For this task, you will read each research scenario and answer the questions regarding each one.Research Scenario 1A researcher is interested in the effects of a new weight loss supplement. Participants in this double-blind study are randomly assigned to either a group that receives the new supplement or a group that receives a placebo. Participants are weighed before starting the program. After 6 weeks of taking either the new supplement or the placebo, participants return to the lab to be weighed.Provide the appropriate null and alternative hypotheses.Determine which type of analysis would be appropriate to answer this research question. Be specific and support your answer using the textbook or other course materials.Name the independent and dependent variables used in the analysis. What are the levels of the independent variable?Indicate the levels of measurement for each variable.Describe the Type I error for this study.Describe the Type II error for this study.Research Scenario 2A researcher is interested in whether certain memory strategies help people to remember information. This researcher employs students from a local college, and then randomly assigns them to one of three groups—the visualization group, the mnemonic technique group, and the rote repetition group. Participants in each group receive an hour of instruction regarding how to use the particular technique to remember lists of words. After the instruction, all participants are presented with a list of 60 words that they are instructed to remember. The words are presented one-at-a time on a computer screen. After the last word is presented, all participants are instructed to recall as many words as possible by writing them on a blank sheet of paper. All participants are given 10 minutes to recall the words.Provide the appropriate null and alternative hypotheses.Indicate which type of analysis would be appropriate to answer this research question. Be specific and support your answer using the textbook or other course materials.Name the independent and dependent variables used in the analysis. What are the levels of the independent variable?Indicate the levels of measurement for each variable.Describe the Type I error for this study.Describe the Type II error for this studyResearch Scenario 3A local manufacturing company is interested in determining whether their employees are as happy with their jobs as other employees. The manufacturing company asked the workers, who volunteered to participate, to rate their happiness at work on a scale from 1 to 10 where 1 was not at all happy and 10 was extremely happy. The manufacturing company found that the mean happiness rating for their employees is 7.3. In the general population of workers in the United States, the mean happiness rating is 6.Provide the appropriate null and alternative hypotheses.Determine which type of analysis would be appropriate to answer this research question. Be specific. Please support your answer using the textbook or other course materials.Name the variables used in the analysis.What are the levels of measurement for each variable?Describe the Type I error for this study.Describe the Type II error for this studyLength: 1-2 pagesYour paper should demonstrate thoughtful consideration of the ideas and concepts presented in the course by providing new thoughts and insights relating directly to this topic. Your response should reflect scholarly writing and current APA standards.https://conjointly.com/kb/statistical-student-t-te...
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BUS 2001 Capella University Analyzing Data With Descriptive Statistics Question
Assessment 3 Instructions: Analyzing Data With Descriptive StatisticsPRINTUse a data generator to produce data for the que ...
BUS 2001 Capella University Analyzing Data With Descriptive Statistics Question
Assessment 3 Instructions: Analyzing Data With Descriptive StatisticsPRINTUse a data generator to produce data for the questions you developed in the previous assessment.IntroductionNote: Complete Assessment 2 before completing this assessment .In this assessment, you will use a data generator to produce data for your previously developed questions. You will then summarize the data by calculating various descriptive statistics and present the results graphically.Demonstration of ProficiencyBy successfully completing this assessment, you will demonstrate your proficiency in the following course competencies through the following assessment scoring guide criteria.Competency 1: Interpret a data set's central tendency and variability using descriptive statistical procedures.Calculate proportions correctly.Calculate means correctly.Calculate medians correctly.Calculate modes correctly.Calculate standard deviations correctly.Calculate ranges correctly.Competency 4: Solve problems in your personal and professional life by applying statistical procedures.Explain interesting findings or comparisons as a table, graph, or chart.Note: Complete Assessment 2 before completing this assessment.The following resources are required to complete Assessment 3. For this assessment, it very important that you have a good grasp on using Excel for numerical calculations and graphing. Review the resources as needed before attempting Assessment 3.Data Generator LinkUse the Survey Data Generator, which will provide you with simulated data for the questions you specified in Assessment 2. Enter the minimum value, maximum value, and expected value/typical response value you specified for the quantitative questions (Q5 and Q6) in Assessment 2. Then, click "Download Excel Spreadsheet." The Excel file will be saved in the download folder of your computer.Note: You might receive an alert about the file extension of the downloaded Survey Data Generator file. Click "Yes" to open the file.SoftwareCapella University requires learners to meet certain minimum computer requirements. As a Capella learner, to purchase some required or recommended software at a substantially reduced price, visit the Capella Software Store. Some software required for a course may exceed these requirements, in which case it will be provided to you via a virtual desktop or as part of your course materials. The following software is required to complete learning activities in this assessment.Microsoft Excel: Version 2010 or newer.Windows PC users: The Analysis Toolpak in Excel is a free add-in program—it provides data analysis tools that allow you to complete more complex statistical functions. If you do not yet have the add-in available in Excel, see instructions in Microsoft's Loading the Analysis Toolpak in Excel.Mac users: MS Excel 2016 has an available Toolpak add-in. For all other Mac users: StatPlus: mac LE is the free equivalent for Apple users, but must be downloaded from AnalystSoft.Microsoft Office/Excel ResourcesMicrosoft Corporation. (n.d.). Office support. Retrieved from http://office.microsoft.com/en-us/supportLoading the Analysis Toolpak in Excel. Retrieved from https://support.office.com/en-us/article/Load-the-...AnalystSoft. (n.d.). StatPlus: mac LE. Retrieved from https://www.analystsoft.com/en/products/statplusma...After having defined your survey questions in Assessment 2, you are now able to produce data. This will be done by using a data generator tool that generates hypothetical data for the questions you developed in Assessment 2. The data generator gives you information similar to what you might get when conducting the survey with actual persons.Once you have obtained the data by using the generator tool, use Excel to conduct your analysis and interpret the data using descriptive statistics and visual representations of the data.Data Generation and PreparationStep 1: Generate Data Using the Survey Data Generator.Open the Survey Data Generator. The Survey Data Generator will generate responses to the set of six survey questions you previously defined. It knows nothing about the particular subject of your study; it only generates a set of responses to question types that are pre-defined.Type the minimum, the maximum, and the expected values for questions 5 and 6 into the Survey Data Generator. (These are values for the quantitative questions from Table 1 of your completed Data Collection Template.) Note that the generator has spaces only for the values for your two quantitative questions.For the top set of boxes, enter the values for question 5.For the bottom set of boxes, enter the values for question 6.You must enter a single number for the minimum, the maximum, and the expected value for each of these questions.Do not enter any commas, decimal points, or other symbols.You will not enter anything into the generator for your binary questions (1–4). The tool knows that the only possible responses for these questions are 0 and 1. It will automatically generate 0s and 1s for the responses to your binary questions. Assign 0 and 1 to the two possible responses; it is up to you which response to assign 0 and which to assign 1. For example, if you asked "Are you male of female?" you could make Male = 0 and Female = 1, or vice versa.The Survey Data Generator will create an Excel file that represents responses to your questions. Once you have your unique survey data in Excel, you can apply descriptive statistics to the data and present your results in different visual representations to help an audience easily scan and understand your results.Explanation of data in Excel:There will be six columns (A–F) in Excel: one column for each question (1–6).Columns A–D represent the responses for questions 1–4 and should only contain 0s and 1s. Columns E and F represent the responses for questions 5–6 and should contain numbers between your minimum and maximum.Each row will represent the responses from one survey participant. For example, the first row of answers represents the first survey participant's answers to all six questions. The second row of answers represents the second survey participant's answers to the questions, and so forth. The number of rows of answers is how many participants completed the survey.If a column contains all the same numbers, you need to use the Survey Data Generator again. There has to be variation in these responses for you to statistically analyze the data. Check to see that columns 1 through 4 contain a mix of 0s and 1s and that columns 5 and 6 contain a range of different numbers between your minimum and maximum.Step 2: Prepare for Data Analysis in Excel.To be able to create a histogram in Excel, you need to be able to access the Data Analysis command. It should be visible on the Data tab, in the Analysis group to the far right in Excel. If it is not visible, you will need to install the Analysis ToolPak add-in.For instructions on loading the Analysis ToolPak add-in as well as for creating histograms, which is one of your tasks in this assessment, follow the steps on the Microsoft Microsoft Office Support site. Mac users: StatPlus: mac LE is the free equivalent for Apple users, but must be downloaded from AnalystSoft. Note: MS Excel 2016 now has an available Toolpak add-in. For more information, see the Software section under Required Resources.Enter the word "histogram" into the search box, and you will find information on how to install the ToolPak for your version of Excel as well as information on histograms.If you are not familiar with using Excel and its functions, a variety of helpful resources are provided in the Resources. In addition, you can choose any of the Excel tutorials from the Supplemental Resources in the left navigation menu of your courseroom.Technology note: You will need to sort or rearrange your data to accomplish some of these tasks. Be sure you keep a copy of your original Excel file as a backup.Results note: Because the survey data generation is done without context, you will have to put aside any preconceived notions about how your data should look. Your task is to analyze, interpret, and communicate the unique results.Data Analysis and InterpretationComplete your analysis (Parts 1–3) on one Excel sheet. Include the following components in your analysis of the data. You may wish to refer to the Analyzing Data With Descriptive Statistics Example [PDF] for further explanation. Note that in order to cover all the survey questions, your submission should include more tables, graphs, and charts than you see in the example.Part 1: Questions 1, 2, 3, and 4 (Binary Questions)Each question 1–4 should have the following elements:Sample size.Sample proportion of each response.Bar chart or pie chart.Part 2: Questions 5 and 6 (Quantitative Questions)Questions 5 and 6 should have the following elements:Sample mean.Sample median.Sample mode.Sample range.Sample standard deviation.Sample minimum and maximum.Histogram.Part 3: Exploration of DataNext, explore your data a bit further. What are two interesting findings from your survey responses? You might investigate responses for selected variables based on responses to your binomial questions. For example, if the answer to question 1 was Male or Female and to question 6 was Annual Income, you might examine average annual income for males only and females only and compare these results. Present your findings in an appropriate table, graph, or chart. Then write, in the same Excel spreadsheet, a 1–2 paragraph summary of your findings.Assessment Submission InstructionsSubmit your Excel spreadsheet containing Parts 1–3. Before submitting your assessment, verify you have included all of the elements listed above for Parts 1–3. It is important to note that you should have:Four bar graphs (or four pie charts), one each for questions 1–4.Two histograms, one each for questions 5 and 6.Two tables, graphs, or charts to represent interesting findings from your survey responses. Include a 1–2 paragraph summary of your findings.
Statistics MTH128
Homework questions MTH128. There is 30 questions to answer, see below the name of the book. Elementary Statistics: Picturi ...
Statistics MTH128
Homework questions MTH128. There is 30 questions to answer, see below the name of the book. Elementary Statistics: Picturing the World Six Edition Ron Larson and Betsy Farber
4 pages
20200308231319week2 Application Assignment
Answer the following questions using Excel Analysis Tool Pack. Any graphs in Excel should be cut and paste on this Word do ...
20200308231319week2 Application Assignment
Answer the following questions using Excel Analysis Tool Pack. Any graphs in Excel should be cut and paste on this Word document. You will turn in a ...
ASALLC Concrete Foundation for a Residential Building Project Worksheet
Refer to Sheets 1, 2, and 4 from the Sullivan residential building plans in the Large Prints supplement to answer the
fol ...
ASALLC Concrete Foundation for a Residential Building Project Worksheet
Refer to Sheets 1, 2, and 4 from the Sullivan residential building plans in the Large Prints supplement to answer the
following questions. Complete activty 10-1 complete the 7 questions and fill the answers in on the form AND SAVE AS A PDF.
Hillsborough Community College Nonparametric Tests Discussion
Choose two of the following three questions and post your answer:1. In your own words, what is a nonparametric test? Wha ...
Hillsborough Community College Nonparametric Tests Discussion
Choose two of the following three questions and post your answer:1. In your own words, what is a nonparametric test? What is a parametric test (Section 13-2)?2. In your own words, identify an advantage of using rank correlation instead of linear correlation (Section 13-6).3. In your own words, what is the difference between a nonparametric test and a distribution-free test (Section 13-7)?use your own words!!Replies:Andressa- 1. In your own words, what is a nonparametric test? What is a parametric test (Section 13-2)?The parametric test is the hypothesis test which provides generalisations for making statements about the mean of the parent population. A t-test based on Student’s t-statistic, which is often used in this regard. The t-statistic rests on the underlying assumption that there is the normal distribution of variable and the mean in known or assumed to be known. The population variance is calculated for the sample. It is assumed that the variables of interest, in the population are measured on an interval scale.The nonparametric test is defined as the hypothesis test which is not based on underlying assumptions, i.e. it does not require population’s distribution to be denoted by specific parameters. The test is mainly based on differences in medians. Hence, it is alternately known as the distribution-free test. The test assumes that the variables are measured on a nominal or ordinal level. It is used when the independent variables are non-metric.3. In your own words, what is the difference between a nonparametric test and a distribution-free test (Section 13-7)?Nonparametric Test: Those procedures that test hypotheses that tests hypotheses that are not statements about population parameters are classified as nonparametric.Distribution free procedure: Those procedures that make no assumption about the sampled population are called distribution free procedures.Greg- Rank correlation had an advantage over linear correlation in that it can be used when data is not normal, but it's either categorical or ordinal. Linear correlation only applies when the data is normal and follows a linear pattern. Rank correlation allows us to find the correlation for data that does not fit this. Parametric tests are used when we have assumptions about the distribution of the population that the data was taken from. An example of this would be t tests. In contrast, nonparametric tests are not based on such assumptions and the data can be from a population that is not normally distributed. The Wilcoxon test is a nonparametric test.
PSY 805 Langston University Evaluate Statistical Analyses
This week, you have learned about t-tests and ANOVA and will apply what you have learned in the evaluation of several rese ...
PSY 805 Langston University Evaluate Statistical Analyses
This week, you have learned about t-tests and ANOVA and will apply what you have learned in the evaluation of several research scenarios (Hyperlink and the 3 attached files). For this task, you will read each research scenario and answer the questions regarding each one.Research Scenario 1A researcher is interested in the effects of a new weight loss supplement. Participants in this double-blind study are randomly assigned to either a group that receives the new supplement or a group that receives a placebo. Participants are weighed before starting the program. After 6 weeks of taking either the new supplement or the placebo, participants return to the lab to be weighed.Provide the appropriate null and alternative hypotheses.Determine which type of analysis would be appropriate to answer this research question. Be specific and support your answer using the textbook or other course materials.Name the independent and dependent variables used in the analysis. What are the levels of the independent variable?Indicate the levels of measurement for each variable.Describe the Type I error for this study.Describe the Type II error for this study.Research Scenario 2A researcher is interested in whether certain memory strategies help people to remember information. This researcher employs students from a local college, and then randomly assigns them to one of three groups—the visualization group, the mnemonic technique group, and the rote repetition group. Participants in each group receive an hour of instruction regarding how to use the particular technique to remember lists of words. After the instruction, all participants are presented with a list of 60 words that they are instructed to remember. The words are presented one-at-a time on a computer screen. After the last word is presented, all participants are instructed to recall as many words as possible by writing them on a blank sheet of paper. All participants are given 10 minutes to recall the words.Provide the appropriate null and alternative hypotheses.Indicate which type of analysis would be appropriate to answer this research question. Be specific and support your answer using the textbook or other course materials.Name the independent and dependent variables used in the analysis. What are the levels of the independent variable?Indicate the levels of measurement for each variable.Describe the Type I error for this study.Describe the Type II error for this studyResearch Scenario 3A local manufacturing company is interested in determining whether their employees are as happy with their jobs as other employees. The manufacturing company asked the workers, who volunteered to participate, to rate their happiness at work on a scale from 1 to 10 where 1 was not at all happy and 10 was extremely happy. The manufacturing company found that the mean happiness rating for their employees is 7.3. In the general population of workers in the United States, the mean happiness rating is 6.Provide the appropriate null and alternative hypotheses.Determine which type of analysis would be appropriate to answer this research question. Be specific. Please support your answer using the textbook or other course materials.Name the variables used in the analysis.What are the levels of measurement for each variable?Describe the Type I error for this study.Describe the Type II error for this studyLength: 1-2 pagesYour paper should demonstrate thoughtful consideration of the ideas and concepts presented in the course by providing new thoughts and insights relating directly to this topic. Your response should reflect scholarly writing and current APA standards.https://conjointly.com/kb/statistical-student-t-te...
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