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STA 3215CBE Rasmussen Independent and Dependent Samples Hypothesis Tests Worksheet
CompetencyFormulate and evaluate hypothesis tests for population parameters based on sample statistics using both Critical ...
STA 3215CBE Rasmussen Independent and Dependent Samples Hypothesis Tests Worksheet
CompetencyFormulate and evaluate hypothesis tests for population parameters based on sample statistics using both Critical Regions and P-Values, and be able to state results in a non-technical way that can be understood by consumers of the data instead of statisticians.Student ProfileYou are a statistician working for a drug company. A few new scientists have been hired by your company. They are experts in pharmacology, but are not experts in doing statistical studies, so you will explain to them how statistical studies are done when testing two samples for the effectiveness of a new drug. The two samples can be dependent or independent, and you will explain the difference.Concept being StudiedYour focus is on hypothesis tests and confidence intervals for two populations using two samples, some of which are independent and some of which are dependent. These concepts are an extension of hypothesis testing and confidence intervals which use statistics from one sample to make conclusions about population parameters.What to SubmitYour research and analysis should be presented on the attached Word documentprovided. All calculations should be provided on a separate Excel workbook that that is attached and should be submitted to your boss as well.
Descriptive Statistics Data Analysis Plan
Please complete the template below, the data and instructions have been attached in a word document. Need this info to stu ...
Descriptive Statistics Data Analysis Plan
Please complete the template below, the data and instructions have been attached in a word document. Need this info to study for a midterm. Scenario: Please write a few lines describing your scenario and the four variables (in addition to income) you have selected. Use Table 1 to report the variables selected for this assignment. Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 1. Variables Selected for the Analysis Variable Name in the Data Set Description (See the data dictionary for describing the variables.) Type of Variable (Qualitative or Quantitative) Variable 1: “Income” Annual household income in USD. Quantitative Variable 2: Variable 3: Variable 4: Variable 5: Reason(s) for Selecting the Variables and Expected Outcome(s): Variable 1: “Income” -Variable 2: ““ -Variable 3: ““-Variable 4: ““-Variable 5: ““- Data Set Description: Proposed Data Analysis: Measures of Central Tendency and Dispersion Complete Table 2. Numerical Summaries of the Selected Variables and briefly explain why you choose those measurements.Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 2. Numerical Summaries of the Selected Variables Variable Name Measures of Central Tendency and Dispersion Rationale for Why Appropriate Variable 1: “Income” Number of ObservationsMedianSample Standard Deviation I am using median for two reasons: If there are any outliers or the data is not normally distributed, the median is the best measure of central tendency.The variable is quantitative. I am using sample standard deviation for three reasons: The data is a sample from a larger data set.It is the most commonly used measure of dispersion.The variable is quantitative. Variable 2: Variable 3: Variable 4: Variable 5: Graphs and/or Tables Complete Table 3. Type of Graphs and/or Table for Selected Variables and briefly explain why you choose those graphs and/or tables.Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 3. Type of Graphs and/or Tables for Selected Variables Variable Name Graph and/or Table Rationale for why Appropriate? Variable 1: “Income” Graph: I will use the histogram to show the normal distribution of data. Histogram is one of the best plot to show the normal distribution of quantitative level data . Variable 2: Variable 3: Variable 4: Variable 5:
weight loss program, weights of 40 subjects are recorded, statistics homework help
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the befo ...
weight loss program, weights of 40 subjects are recorded, statistics homework help
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the before/after weights result in r = 0.876.Is there sufficient evidence to support a claim of a linear correlation between before/after weights?Does the value of r indicate that the program is effective in reducing weight? Why or why not?1 paragraph
RES-845 Module 4 SPSS Data Interpretation
Details:A related samples t-test compares the mean values of two related samples. In this assignment, you will review the ...
RES-845 Module 4 SPSS Data Interpretation
Details:A related samples t-test compares the mean values of two related samples. In this assignment, you will review the SPSS output for a related samples t-test and use it to answer questions about the means of the two related samples.General Requirements:Use the following information to ensure successful completion of the assignment:Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.Download “SPSS Data Set Legend" for use with this assignment.Download “Module 4 SPSS Output" for use with this assignment.Directions:Review the SPSS output file that reports the results of the related samples t-test to compare the number of U.S. states where each brand was sold in 2008 with the number of U.S. states where those same brands were sold in 2012. For each brand, there is one value for the number of states in 2008 and another value for the number of states in 2012, making this a repeated measure. Answer the following questions based on your observations of the SPSS output file:What was the mean number of U.S. states in which all of the beer brands were sold in 2008?What was the mean number of U.S. states in which all of the beer brands were sold in 2012?Was there a significant difference in the number of states in which these beer brands were sold in 2008 versus 2012? Report the results of the t-test as follows: t(df value) = ___, and p-value.Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached documentation for completion of assignment.
14 pages
Word Doc For Sas
1. Note: for each test, provide the null and alternative hypotheses, your test statistics Part I. The data file “cdi200. ...
Word Doc For Sas
1. Note: for each test, provide the null and alternative hypotheses, your test statistics Part I. The data file “cdi200.txt” provides selected ...
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Most Popular Content
STA 3215CBE Rasmussen Independent and Dependent Samples Hypothesis Tests Worksheet
CompetencyFormulate and evaluate hypothesis tests for population parameters based on sample statistics using both Critical ...
STA 3215CBE Rasmussen Independent and Dependent Samples Hypothesis Tests Worksheet
CompetencyFormulate and evaluate hypothesis tests for population parameters based on sample statistics using both Critical Regions and P-Values, and be able to state results in a non-technical way that can be understood by consumers of the data instead of statisticians.Student ProfileYou are a statistician working for a drug company. A few new scientists have been hired by your company. They are experts in pharmacology, but are not experts in doing statistical studies, so you will explain to them how statistical studies are done when testing two samples for the effectiveness of a new drug. The two samples can be dependent or independent, and you will explain the difference.Concept being StudiedYour focus is on hypothesis tests and confidence intervals for two populations using two samples, some of which are independent and some of which are dependent. These concepts are an extension of hypothesis testing and confidence intervals which use statistics from one sample to make conclusions about population parameters.What to SubmitYour research and analysis should be presented on the attached Word documentprovided. All calculations should be provided on a separate Excel workbook that that is attached and should be submitted to your boss as well.
Descriptive Statistics Data Analysis Plan
Please complete the template below, the data and instructions have been attached in a word document. Need this info to stu ...
Descriptive Statistics Data Analysis Plan
Please complete the template below, the data and instructions have been attached in a word document. Need this info to study for a midterm. Scenario: Please write a few lines describing your scenario and the four variables (in addition to income) you have selected. Use Table 1 to report the variables selected for this assignment. Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 1. Variables Selected for the Analysis Variable Name in the Data Set Description (See the data dictionary for describing the variables.) Type of Variable (Qualitative or Quantitative) Variable 1: “Income” Annual household income in USD. Quantitative Variable 2: Variable 3: Variable 4: Variable 5: Reason(s) for Selecting the Variables and Expected Outcome(s): Variable 1: “Income” -Variable 2: ““ -Variable 3: ““-Variable 4: ““-Variable 5: ““- Data Set Description: Proposed Data Analysis: Measures of Central Tendency and Dispersion Complete Table 2. Numerical Summaries of the Selected Variables and briefly explain why you choose those measurements.Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 2. Numerical Summaries of the Selected Variables Variable Name Measures of Central Tendency and Dispersion Rationale for Why Appropriate Variable 1: “Income” Number of ObservationsMedianSample Standard Deviation I am using median for two reasons: If there are any outliers or the data is not normally distributed, the median is the best measure of central tendency.The variable is quantitative. I am using sample standard deviation for three reasons: The data is a sample from a larger data set.It is the most commonly used measure of dispersion.The variable is quantitative. Variable 2: Variable 3: Variable 4: Variable 5: Graphs and/or Tables Complete Table 3. Type of Graphs and/or Table for Selected Variables and briefly explain why you choose those graphs and/or tables.Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 3. Type of Graphs and/or Tables for Selected Variables Variable Name Graph and/or Table Rationale for why Appropriate? Variable 1: “Income” Graph: I will use the histogram to show the normal distribution of data. Histogram is one of the best plot to show the normal distribution of quantitative level data . Variable 2: Variable 3: Variable 4: Variable 5:
weight loss program, weights of 40 subjects are recorded, statistics homework help
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the befo ...
weight loss program, weights of 40 subjects are recorded, statistics homework help
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the before/after weights result in r = 0.876.Is there sufficient evidence to support a claim of a linear correlation between before/after weights?Does the value of r indicate that the program is effective in reducing weight? Why or why not?1 paragraph
RES-845 Module 4 SPSS Data Interpretation
Details:A related samples t-test compares the mean values of two related samples. In this assignment, you will review the ...
RES-845 Module 4 SPSS Data Interpretation
Details:A related samples t-test compares the mean values of two related samples. In this assignment, you will review the SPSS output for a related samples t-test and use it to answer questions about the means of the two related samples.General Requirements:Use the following information to ensure successful completion of the assignment:Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.Download “SPSS Data Set Legend" for use with this assignment.Download “Module 4 SPSS Output" for use with this assignment.Directions:Review the SPSS output file that reports the results of the related samples t-test to compare the number of U.S. states where each brand was sold in 2008 with the number of U.S. states where those same brands were sold in 2012. For each brand, there is one value for the number of states in 2008 and another value for the number of states in 2012, making this a repeated measure. Answer the following questions based on your observations of the SPSS output file:What was the mean number of U.S. states in which all of the beer brands were sold in 2008?What was the mean number of U.S. states in which all of the beer brands were sold in 2012?Was there a significant difference in the number of states in which these beer brands were sold in 2008 versus 2012? Report the results of the t-test as follows: t(df value) = ___, and p-value.Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached documentation for completion of assignment.
14 pages
Word Doc For Sas
1. Note: for each test, provide the null and alternative hypotheses, your test statistics Part I. The data file “cdi200. ...
Word Doc For Sas
1. Note: for each test, provide the null and alternative hypotheses, your test statistics Part I. The data file “cdi200.txt” provides selected ...
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