I fell behind in my online Contemporary writers class and now need 2 1500 word papers done by tonight. The last time I used this site i overpayed for a paper that I received a D on. I am sketchy about using it but figured I would give it one last time. 

This dataset is from a study that evaluated the results of a new educational treatment for 9-12 year olds. The dataset contains 5 variables:

1. The first variable is the child’s gender – it has two values – 1 = males and 2 = females

2. The second variable is treatment – it also has two values – 1 = traditional treatment and 2 = new treatment

3. The third variable is the child’s age – it ranges from 9 to 12

4. The fourth variable is the child’s math test score before treatment

5. The fifth variable is the child’s math test score after treatment

 

Provide the appropriate descriptive statistics for each of the variables in the dataset. Next, you will need to decide whether you should use a t-test or ANOVA to compare males and females, those receiving the traditional and new treatment, as well as the different age groups, on both their pre-treatment and post-treatment scores. You will then conduct these analyses and interpret these results. Remember, if you have only two groups, and there are different people in those groups, you would use the independent samples t-test procedure, but if you have more than two groups, you’ll use the simple ANOVA (see flowchart on p. 191 of our text). Finally, you will correlate the age variable with both the pre- and post-treatment scores. You should include slides in your presentation that summarize and interpret the results of these analyses.

Gender	Treatment	Age	Test 1	Test 2
1	1	9	98	32
2	2	11	87	33
2	1	10	89	54
2	1	12	88	44
1	2	9	76	64
1	1	11	68	54
2	1	10	78	44
2	2	9	98	32
2	2	12	93	64
1	2	11	76	37
2	1	10	75	43
2	1	9	65	56
1	1	12	76	78
2	1	11	78	99
2	1	9	89	87
2	2	10	81	56
1	1	12	78	78
2	1	9	83	56
1	1	11	88	67
2	1	10	90	88
1	1	12	93	81
1	2	9	89	93
2	2	11	86	87
1	1	10	77	80
1	1	12	89	99

 

 Create a 10- to 15-slide presentation discussing your statistics project data analyses.

 

Include the following in your presentation:

• An introduction that includes the data and variables – This information is provided on the information tab of the Microsoft^® Excel^® data set.
• A description and results of each analysis
  • The descriptive statistics
  • The t test and ANOVA
  • The bivariate correlations
• A conceptual summary of the results stating what they tell you about the data

 

 

 

 

 

 Chapter 13—Preparing Résumés and Application Letters

 

CASE

 

1. Concise Language Adds Punch to a Resume

 

Interviewers quickly scan a resume in about 40 seconds to learn about a job candidate’s skills, accomplishments, and attributes. Because interviewers spend such a short time reading resumes, the writing must be direct and simple. Victor, a recent college graduate, is applying for a job and has written the following sentences to describe his accomplishments.

 

 

 

I was a receptionist at a doctor’s family medical practice.

 

My work included taking appointments, filing charts, answering phones, and running errands.

 

 

 

I was a sales person at a hardware store where I worked with selling windows, doors, tools and other customer service.

 

 

 

I eventually became a manager at the hardware store, ordering products and supplies, as well as supervised five employees.

 

 

 

I spent two summers working at the university’s admission office, showing prospective students the campus and answering phones and other clerical duties.

 

 

 

I was a summer camp counselor with kids that have special needs. My responsibilities included handling special activities and providing daily assistance to kids as needed.

 

Required:

 

Rewrite Victor’s work experience section of his resume so that it is more effective.