Study Guide for our Week 4 - Inferential Research and Statistics Project Part 2 paper  

Write a paper that addresses the following for your chosen scenario:

Format your paper according to APA guidelines.

Add a Title page to your paper. (See the Writing Style Sample Paper - APA Manual, 6th Edition in the Library) 

The format for the Title page:

Inferential Research and Statistics Project, Part 1

Student Name

Course/Number

Date

Instructor Name

Add a page header to your paper. (See the Writing Style Sample Paper - APA Manual, 6th Edition in the Library) 

All text within the paper is double-spaced. (See the Writing Style Sample Paper - APA Manual, 6th Edition in the Library) 

Add a Reference page to your paper.  (See the Writing Style Sample Paper - APA Manual, 6th Edition in the Library) (your references is our textbook and the Inferential Research and Statistics Project document)

The preferred typeface for APA style is black, 12-point Times New Roman (APA, 2010). However, Arial and Courier font types are acceptable.

Your title of your paper should be centered and inserted on the first line of page 2 (only on this page).

Add a Conclusion to your paper summarizing the key elements of the assignment. 

Add Headings to your paper (You have 7 questions and a conclusion; therefore, 8 headings) 

Headings break paragraphs into readable parts and the reader can locate the information. In addition, headings indicate the organization of the paper and establish importance. (See the APA Manual, 6th Edition)

The Body of your paper:

You will run a t test: Two Sample Assuming Equal Variances to compare the two methods.

The data set is attached to this email.

What is the alpha level of the comparison?

What was the means and variance for each variable?

What was the t score?

What was the critical value for both the one- and two-tailed test? 

Was your test one-tailed or two-tailed? 

Were you able to reject the null hypothesis? In other words, did you prove there was a difference?

Talk about what these results mean in everyday language and in context to your chosen scenario.

Make a recommendation.

For example:

You have a hypothesis that two drugs have different effects on lowering anxiety. You would have anxiety scores for drug A and anxiety scores for drug B (all after 4 weeks of treatment) to run inferential analysis for after 4 weeks.

• Null hypothesis is H0: drug A = drug B

• Research hypothesis is H1: drug A ≠ drug B

• Dependent variable: anxiety score changed after treatment

• Independent variable: drug treatment

Because you did not state a direction in your hypotheses (better than or worse than), this will be a two-tailed test. You are looking for differences in either direction.

You would set your alpha level of 0.05 (the standard alpha level used) and have a sample for each group of 30 people.

Copy and paste the Excel the output into your Microsoft® Word document.

Excel Instructions:

Using Excel to run a t Test: Two-Sample Assuming Equal Variances  

1st Step: Column A row 1 - the label now is Reminder call - Old Method (You will relabel column A, for example, Reminder call. 

2nd Step: Column A Rows 2 through 31 are the scores for Group 1 

3rd Step: Column B row 1 - the label is Text message - New Method (You will relabel column B, for example, Text message.

4th Step: Column B Rows 2 through 31 are the scores for Group 2 

5th Step: Select Data analysis

 6th Step: Select the t-Test: Two-Sample Assuming Equal Variances 

7th Step: Select the rows 1 to 31 of Column A for the Variable 1 Range 

8th Step: Select the rows 1 to 31 of Column B for the Variable 2 Range 

9th Step: Hypothesized Mean Difference is 0 (add the 0 to this box)  

We hypothesized there is no difference (null hypothesis) between the two methods; therefore, we add a 0 to this box. 

10th Step: Select labels 

We did include labels (column A and column B) 

11th Step: Alpha is 0.05 (will automatically appear) 

12th Step: Select Output range: select the box, then select column D to column H from row 1 down to row 12

13th Step: Select OK, and a box will appear. 

The box will have two means (the mean for Column A and the Mean for Column B) and etc.: 

Mean

Variance

Observation

Hypothesis

df

t Stat

P(t < = t) one-tail

t critical one-tail

P(t < = t) two-tail

t critical two-tail

Can you reject the null hypothesis?

For example, if your test was a two-tailed test:

If the t Stat is less than the critical value for the t critical two-tail, do you reject the null hypothesis?

If the t Stat is more than the critical value for the t critical two-tail, do you reject the null hypothesis?

Also, you can use the Table A-2 Cutoff Scores for the t Distribution on p.974 in our textbook to locate the cutoff score (s).