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MATH 225 Chamberlain University Week 5 Height of People Survey Sheet
MATH225N-61306ModulesWeek 5 Assignment: Lab
March 2020
HomeSyllabusAnnounc ...
MATH 225 Chamberlain University Week 5 Height of People Survey Sheet
MATH225N-61306ModulesWeek 5 Assignment: Lab
March 2020
HomeSyllabusAnnouncementsResourcesModulesFilesGradesPeopleBookstoreLibrary GuidesMedia GalleryMy MediaNew WebexAcademic Support
Week 5 Assignment: Lab
Due
Apr 5 by
11:59pm
Points
50
Submitting
a file upload
Required ResourcesRead/review the following resources for this activity:OpenStax Textbook: Chapter 2, 6, and 7LessonWeeks 3 and 5 Excel SpreadsheetsScenario/SummaryThis week's lab highlights the use of probability and normal distribution.Follow the directions below to gather data, calculate using Excel spreadsheets, and interpret the results.DeliverablesThe deliverable is a Word document with your answers to the questions posed below based on the data you find.Required SoftwareMicrosoft WordMicrosoft ExcelSteps to Complete Week 5 LabUse the Weeks 3 and 5 spreadsheets to help you answer the questions below.Step 1: Survey or measure 10 people to find their heights. Determine
the mean and standard deviation for this group by using the Week 3 Excel
spreadsheet. Post a screen shot of the portion of the spreadsheet that
helped you determine these values. How does your height compare to the
mean (average) height of the group that you surveyed? Is your height
taller, shorter, or the same as the mean of your group?
Data Example of 10 people with different heights
Step 2: Give some background information on the group of people you
used in your study. You might consider using the following questions to
guide your answer.How did you choose the participants for your study (sampling method)?What part of the country did your study take place in?What are the age ranges of your participants?How many of each gender did you have in your study?What are other interesting factors about your group?Step 3: Use the Week 5 Excel spreadsheet for the following.(Use the Empirical Rule tab from the spreadsheet).
Determine the 68%, 95%, and 99.7% values of the Empirical Rule in terms
of the ten heights in your height study.What do these values tell you?Post a screen shot of your work from the Week 5 Excel spreadsheet.
Week 5 Spreadsheet Example
(Use the normal probability tab from the spreadsheet). Based on your
study results, what percent of the study participants are shorter than
you? What percent are taller than you?Post a screen shot of your work from the Week 5 Excel spreadsheet. Example: If my height is 73 inches, then 20.86% of the relevant population is shorter. The other 79.14%, of course, is taller.Week 5 Spreadsheet ExampleStep 4: Be sure your name is on the Word document, save it, and then submit it under "Assignments" and "Week 5: Lab".GradingThis activity will be graded based on the Week 5 Lab Rubric.Course Outcomes (CO): 3, 4, 5Due Date: By 11:59 p.m. MT on SundayRubric
Week 5 Assignment: Lab
Week 5 Assignment: Lab
Criteria Ratings Pts
This criterion is linked to a Learning Outcome
Measures of Central Tendency and Variation
12.0
pts
Addresses
all elements of the following: *10 height values *mean of data
*standard deviation of data *screenshot of values calculated on
spreadsheet *comparison of heights
10.2
pts
Addresses
4 out of 5 of the following: *10 height values *mean of data *standard
deviation of data *screenshot of values calculated on spreadsheet
*comparison of heights
8.4
pts
Addresses
3 out of 5 of the following: *10 height values *mean of data
*standard deviation of data *screenshot of values calculated on
spreadsheet *comparison of heights
6.6
pts
Addresses
1 or 2 out of 5 of the following: *10 height values *mean of data
*standard deviation of data *screenshot of values calculated on
spreadsheet *comparison of heights
0.0
pts
No Effort
12.0 pts
This criterion is linked to a Learning Outcome
Population Data and Sampling Techniques
15.0
pts
Addresses
all elements of the following: *Sampling method *Location *Age group of
participants *Gender of participants *Other factors about participants
12.75
pts
Addresses
4 out of 5 of the following: *Sampling method *Location *Age group of
participants *Gender of participants *Other factors about participants
10.5
pts
Addresses
3 out of 5 of the following: *Sampling method *Location *Age group of
participants *Gender of participants *Other factors about participants
8.25
pts
Addresses
1 or 2 out of 5 of the following: *Sampling method *Location *Age
group of participants *Gender of participants *Other factors about
participants
0.0
pts
No Effort
15.0 pts
This criterion is linked to a Learning Outcome
Probability, and Measures that would follow a normal distribution in life sciences
15.0
pts
Addresses
all elements of the following: *Empirical Rule values *Interpretation
of Empirical Rule values *Screenshot of Empirical spreadsheet
*Interpretation of Normal Distribution spreadsheet values *Screenshot of
probabilities/ percentiles
12.75
pts
Addresses
4 out of 5 of the following: *Empirical Rule values *Interpretation of
Empirical Rule values *Screenshot of Empirical spreadsheet
*Interpretation of Normal Distribution spreadsheet values *Screenshot of
probabilities/ percentiles
10.5
pts
Addresses
3 out of 5 of the following: *Empirical Rule values *Interpretation of
Empirical Rule values *Screenshot of Empirical spreadsheet
*Interpretation of Normal Distribution spreadsheet values *Screenshot of
probabilities/ percentiles
8.25
pts
Addresses
1 or 2 out of 5 of the following: *Empirical Rule values
*Interpretation of Empirical Rule values *Screenshot of Empirical
spreadsheet *Interpretation of Normal Distribution spreadsheet values
*Screenshot of probabilities/ percentiles
0.0
pts
No Effort
15.0 pts
This criterion is linked to a Learning Outcome
Grammar and Formatting
8.0
pts
Lab is easy to read and presents material in a logical order with no grammatical errors.
6.8
pts
Lab is
easy to read and presents material in a logical order. There are a few
grammatical errors but they do not distract from readability.
5.6
pts
Lab is easy to read and has few grammatical errors, but it is not logically organized.
4.4
pts
There are significant grammatical errors and organizational issues that distract from readability.
0.0
pts
No Effort
8.0 pts
Total Points:
50.0
Brandman University Professor & Course Evaluation Correlation Test Report
Test for Correlation - Download the data set “Course Evaluations” in your preferred technology format (StatCrunch, Sta ...
Brandman University Professor & Course Evaluation Correlation Test Report
Test for Correlation - Download the data set “Course Evaluations” in your preferred technology format (StatCrunch, Statdisk, Excel). Column 2 denotes the mean course rating, and Column 3 denotes the mean professor rating. Using your preferred technology format (StatCrunch, Statdisk, Excel), generate a scatterplot for these two data sets. Based on the graph, do you believe the two sets are correlated?Now, using the same program, complete a hypothesis test to test the claim that the course rating and the professor rating are correlated. Provide a printout of your technology output using the Insert/Edit Image feature (no attachments!) Explain your conclusion in statistical and non-statistical terms and how you arrived at that conclusion. Be sure to follow the 8-step procedure on page 360, using technology to do your calculations. You should include your null and alternative hypothesis (in English and in symbolic form), your significance level, whether you are conducting a right tailed, left tailed, or two tailed test, r-value, p-value, and conclusions. Course Evaluations_Excel(1).xlsx
Abraham Lincoln University ANOVA Formulation & F Distribution Questions
Explain how the F distribution is constructed by combining two chi squared distributions. What are the properties of the F ...
Abraham Lincoln University ANOVA Formulation & F Distribution Questions
Explain how the F distribution is constructed by combining two chi squared distributions. What are the properties of the F distribution? Explain what are the objectives of ANOVA and how it is formulated. What are the underlying assumptions? What is the sum of the squares of errors and mean sum of squares of errors in ANOVA? What is the test statistic in ANOVA? What is the criterion for rejecting the null hypothesis? How the p value is determined in ANOVA? Provide a hypothetical example of ANOVA formulation.What is the objective of the Fisher’s post-hoc test? How is it formulated? Are they non-directional or directional tests? What is the test statistic in Fisher’s test? What are the expected outcomes of the Fisher’s test? Please be sure to include in-text citations and peer reviewed references in APA format
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Most Popular Content
MATH 225 Chamberlain University Week 5 Height of People Survey Sheet
MATH225N-61306ModulesWeek 5 Assignment: Lab
March 2020
HomeSyllabusAnnounc ...
MATH 225 Chamberlain University Week 5 Height of People Survey Sheet
MATH225N-61306ModulesWeek 5 Assignment: Lab
March 2020
HomeSyllabusAnnouncementsResourcesModulesFilesGradesPeopleBookstoreLibrary GuidesMedia GalleryMy MediaNew WebexAcademic Support
Week 5 Assignment: Lab
Due
Apr 5 by
11:59pm
Points
50
Submitting
a file upload
Required ResourcesRead/review the following resources for this activity:OpenStax Textbook: Chapter 2, 6, and 7LessonWeeks 3 and 5 Excel SpreadsheetsScenario/SummaryThis week's lab highlights the use of probability and normal distribution.Follow the directions below to gather data, calculate using Excel spreadsheets, and interpret the results.DeliverablesThe deliverable is a Word document with your answers to the questions posed below based on the data you find.Required SoftwareMicrosoft WordMicrosoft ExcelSteps to Complete Week 5 LabUse the Weeks 3 and 5 spreadsheets to help you answer the questions below.Step 1: Survey or measure 10 people to find their heights. Determine
the mean and standard deviation for this group by using the Week 3 Excel
spreadsheet. Post a screen shot of the portion of the spreadsheet that
helped you determine these values. How does your height compare to the
mean (average) height of the group that you surveyed? Is your height
taller, shorter, or the same as the mean of your group?
Data Example of 10 people with different heights
Step 2: Give some background information on the group of people you
used in your study. You might consider using the following questions to
guide your answer.How did you choose the participants for your study (sampling method)?What part of the country did your study take place in?What are the age ranges of your participants?How many of each gender did you have in your study?What are other interesting factors about your group?Step 3: Use the Week 5 Excel spreadsheet for the following.(Use the Empirical Rule tab from the spreadsheet).
Determine the 68%, 95%, and 99.7% values of the Empirical Rule in terms
of the ten heights in your height study.What do these values tell you?Post a screen shot of your work from the Week 5 Excel spreadsheet.
Week 5 Spreadsheet Example
(Use the normal probability tab from the spreadsheet). Based on your
study results, what percent of the study participants are shorter than
you? What percent are taller than you?Post a screen shot of your work from the Week 5 Excel spreadsheet. Example: If my height is 73 inches, then 20.86% of the relevant population is shorter. The other 79.14%, of course, is taller.Week 5 Spreadsheet ExampleStep 4: Be sure your name is on the Word document, save it, and then submit it under "Assignments" and "Week 5: Lab".GradingThis activity will be graded based on the Week 5 Lab Rubric.Course Outcomes (CO): 3, 4, 5Due Date: By 11:59 p.m. MT on SundayRubric
Week 5 Assignment: Lab
Week 5 Assignment: Lab
Criteria Ratings Pts
This criterion is linked to a Learning Outcome
Measures of Central Tendency and Variation
12.0
pts
Addresses
all elements of the following: *10 height values *mean of data
*standard deviation of data *screenshot of values calculated on
spreadsheet *comparison of heights
10.2
pts
Addresses
4 out of 5 of the following: *10 height values *mean of data *standard
deviation of data *screenshot of values calculated on spreadsheet
*comparison of heights
8.4
pts
Addresses
3 out of 5 of the following: *10 height values *mean of data
*standard deviation of data *screenshot of values calculated on
spreadsheet *comparison of heights
6.6
pts
Addresses
1 or 2 out of 5 of the following: *10 height values *mean of data
*standard deviation of data *screenshot of values calculated on
spreadsheet *comparison of heights
0.0
pts
No Effort
12.0 pts
This criterion is linked to a Learning Outcome
Population Data and Sampling Techniques
15.0
pts
Addresses
all elements of the following: *Sampling method *Location *Age group of
participants *Gender of participants *Other factors about participants
12.75
pts
Addresses
4 out of 5 of the following: *Sampling method *Location *Age group of
participants *Gender of participants *Other factors about participants
10.5
pts
Addresses
3 out of 5 of the following: *Sampling method *Location *Age group of
participants *Gender of participants *Other factors about participants
8.25
pts
Addresses
1 or 2 out of 5 of the following: *Sampling method *Location *Age
group of participants *Gender of participants *Other factors about
participants
0.0
pts
No Effort
15.0 pts
This criterion is linked to a Learning Outcome
Probability, and Measures that would follow a normal distribution in life sciences
15.0
pts
Addresses
all elements of the following: *Empirical Rule values *Interpretation
of Empirical Rule values *Screenshot of Empirical spreadsheet
*Interpretation of Normal Distribution spreadsheet values *Screenshot of
probabilities/ percentiles
12.75
pts
Addresses
4 out of 5 of the following: *Empirical Rule values *Interpretation of
Empirical Rule values *Screenshot of Empirical spreadsheet
*Interpretation of Normal Distribution spreadsheet values *Screenshot of
probabilities/ percentiles
10.5
pts
Addresses
3 out of 5 of the following: *Empirical Rule values *Interpretation of
Empirical Rule values *Screenshot of Empirical spreadsheet
*Interpretation of Normal Distribution spreadsheet values *Screenshot of
probabilities/ percentiles
8.25
pts
Addresses
1 or 2 out of 5 of the following: *Empirical Rule values
*Interpretation of Empirical Rule values *Screenshot of Empirical
spreadsheet *Interpretation of Normal Distribution spreadsheet values
*Screenshot of probabilities/ percentiles
0.0
pts
No Effort
15.0 pts
This criterion is linked to a Learning Outcome
Grammar and Formatting
8.0
pts
Lab is easy to read and presents material in a logical order with no grammatical errors.
6.8
pts
Lab is
easy to read and presents material in a logical order. There are a few
grammatical errors but they do not distract from readability.
5.6
pts
Lab is easy to read and has few grammatical errors, but it is not logically organized.
4.4
pts
There are significant grammatical errors and organizational issues that distract from readability.
0.0
pts
No Effort
8.0 pts
Total Points:
50.0
Brandman University Professor & Course Evaluation Correlation Test Report
Test for Correlation - Download the data set “Course Evaluations” in your preferred technology format (StatCrunch, Sta ...
Brandman University Professor & Course Evaluation Correlation Test Report
Test for Correlation - Download the data set “Course Evaluations” in your preferred technology format (StatCrunch, Statdisk, Excel). Column 2 denotes the mean course rating, and Column 3 denotes the mean professor rating. Using your preferred technology format (StatCrunch, Statdisk, Excel), generate a scatterplot for these two data sets. Based on the graph, do you believe the two sets are correlated?Now, using the same program, complete a hypothesis test to test the claim that the course rating and the professor rating are correlated. Provide a printout of your technology output using the Insert/Edit Image feature (no attachments!) Explain your conclusion in statistical and non-statistical terms and how you arrived at that conclusion. Be sure to follow the 8-step procedure on page 360, using technology to do your calculations. You should include your null and alternative hypothesis (in English and in symbolic form), your significance level, whether you are conducting a right tailed, left tailed, or two tailed test, r-value, p-value, and conclusions. Course Evaluations_Excel(1).xlsx
Abraham Lincoln University ANOVA Formulation & F Distribution Questions
Explain how the F distribution is constructed by combining two chi squared distributions. What are the properties of the F ...
Abraham Lincoln University ANOVA Formulation & F Distribution Questions
Explain how the F distribution is constructed by combining two chi squared distributions. What are the properties of the F distribution? Explain what are the objectives of ANOVA and how it is formulated. What are the underlying assumptions? What is the sum of the squares of errors and mean sum of squares of errors in ANOVA? What is the test statistic in ANOVA? What is the criterion for rejecting the null hypothesis? How the p value is determined in ANOVA? Provide a hypothetical example of ANOVA formulation.What is the objective of the Fisher’s post-hoc test? How is it formulated? Are they non-directional or directional tests? What is the test statistic in Fisher’s test? What are the expected outcomes of the Fisher’s test? Please be sure to include in-text citations and peer reviewed references in APA format
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