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MBA, PHD
Phoniex
Jul-2007 - Jun-2012
Corportae Manager
ChevronTexaco Corporation
Feb-2009 - Nov-2016
Question description
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Part 1 of the project has already been done. I can provide part one and I will also provide the data set. All i need is part 2 of the project.
Inferential Research and Statistics Project
Part 1
Applied Psychology:Â
oA large medical facility is experiencing too many missed appointments in its primary and specialty care clinics. The facility has noticed that not all patients respond well to reminder calls regarding follow-up appointments. Some patients do not answer calls and do not seem to respond to voice mail requesting they call the facility. The result is that many follow up appointments are missed. Management has read articles that people respond very well to text messages and would like to see which method provides the least amount of missed appointments. Missed appointments are tracked in the facility database on a monthly basis.
Write a 525- to 750-word paper that addresses the following for your chosen scenario:
Clearly define the problem or issue you are addressing. Provide a brief background of any research you have found that might affect your research hypothesis.
Create a research hypothesis based on the information provided in each scenario. You have been given a data set (Excel document) with two sets of interval data (just the numbers, as you must decide what they represent, such as method A results or method B results). This means you are going to test one thing against another, such as which method works best (step 1 of the steps to hypothesis testing). State the null and research hypotheses. Explain whether these hypotheses require a one-tailed test or two-tailed test, and explain your rationale.
Describe the sample you will use. Sample size will be 30 for each group, which are provided in your data set. Explain what type of sampling you selected.
Do you think you would also collect some descriptive data, such as gender, age, or shift? Why do you think it makes sense to collect descriptive data?
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Format your paper according to APA guidelines.
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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 .05 and have a sample for each group of 30 people that were volunteers for the study.
Part 2
Analyze the data from Part 1 using Microsoft® Excel® software.
Write a 700- to 875-word paper that includes the following information:
Describe what method you are using to compare groups.
Copy and paste the output into a Microsoft® Word document, and also answer the following questions:
oWhat is the significance level of the comparison?
oWhat was the alpha level you identified in Week 3?
oWhat was the means and variance for each variable?
oWhat was the test statistic?
oWhat was the critical value for both the one- and two-tailed test?
oWas your test one-tailed or two-tailed?
oWere 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 based on the findings.
Format your paper according to APA guidelines.
Example of Output You Would Use to Answer These Questions
|
t Test: Two-Sample Assuming Equal Variances |
 | |
| Â | Â | Â |
| Â |
Variable 1 |
Variable 2 |
|
Mean |
4.875 |
8 |
|
Variance |
5.267857143 |
18.28571429 |
|
Observations |
8 |
8 |
|
Pooled variance |
11.77678571 |
 |
|
Hypothesized mean difference |
0 |
 |
|
df |
14 |
 |
|
t stat |
-1.821237697 |
 |
|
P(T <=Â t) one-tail |
0.045002328 |
 |
|
t Critical one-tail |
1.761310136 |
 |
|
P(T <=Â t) two-tail |
0.090004655 |
 |
|
t Critical two-tail |
2.144786688 |
|
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