Paper details:Using the Minitab Workbook attached
First convert each subject’s age and height into a z-score. Using the z-score of ±1.645 for the 5 percent cutoff and the z-score of ±1.96 for the 2.5 percent in the tail, identify the subject identification (ID) number for subjects who are closest to the cutoff for the upper 2.5 percent and 5 percent of the scores and the lower 2.5 percent and 5 percent of the scores. Save Minitab worksheet.

Next, create precise, accurate, and complete description of the sample.

Next, compute a one-sample t-test comparing the age of the sample to the age of the general population of college students in traditional on-ground universities. Assume the population mean is 21. Write a 1-paragraph, APA-formatted interpretation of the results.

Next, compute a t-test comparing males’ and females’ heights. Determine which type of t-test to compute. Write a one-paragraph, APA-formatted interpretation of the results.
Comments from Support Team: The course is Statistics for Behavioral Sciences
The attached file is a MINITAB Worksheet. It is the Minitab Software. Please advise if you do not have access to the application.
after each step the worksheet should be saved as the step that was completed (such as First, second, etc.).

First,
Create a new Minitab database in which you will be able to enter the following variables:
1. Subject identification (ID) number
2. Age
3. Sex
4. Height
5. Year in college
Name each variable and identify the type as either numeric or alphanumeric (text). Categorical data (nominal or ordinal) should be entered as alphanumeric, and continuous data (interval or ratio) should be entered as numeric.
Create the following data about forty hypothetical students who are undergraduates in college, making sure you have five males and five females in each year (freshman, sophomore, junior, and senior):
Subject ID number (You will be required to provide this yourself. For example, subject 1 is 01; subject 2 is 02, and so forth. This should be identified as alphanumeric in your database since it is categorical.)
Age
Sex
Height (convert to inches; 5 feet 3 inches = [12 * 5] + 3 = 63)
Year in college (freshman, sophomore, junior, or senior)

Second,
Choose and run the appropriate descriptive statistics (graphic and numerical) to describe the sample’s age, sex, height, and year in college.
Copy your output tables and graphs to a Microsoft Word document and write a brief (1-paragraph), APA-formatted report detailing your findings in the same document as the output. Format this report based on the example given in the lecture on Interpreting Data.

Third,
Convert each subject’s age and height into a z-score.
Using the z-score of ±1.645 for the 5 percent cutoff and the z-score of ±1.96 for the 2.5 percent in the tail, identify the subject identification (ID) number for subjects who are closest to the cutoff for the upper 2.5 percent and 5 percent of the scores and the lower 2.5 percent and 5 percent of the scores.
Save the Minitab worksheet.
Identify the subject ID numbers for appropriate cutoffs in a 1-page Microsoft Word document.
Describing your sample. Be sure to give an accurate and complete description of each.
Fourth,
Compute a one-sample t-test comparing the age of your sample to the age of the general population of college students in traditional on-ground universities. Assume the population mean is 21.
Write a 1-paragraph, APA-formatted interpretation of the results.
Fifth,
Compute a t-test comparing males’ and females’ heights. You must determine which type of t-test to compute. Write a one-paragraph, APA-formatted interpretation of the results.