general psychology

Unit IV Article Review
Wade and Tavris explain that various factors combine to influence one’s thinking patterns and behaviors. Most would agree that we are inundated with outside influences on a continuous basis. The need to stay connected to various forms of media is growing by leaps and bounds. Have you ever wondered what impact media consumption could be having in your life? Can viewing violent acts lead to vicious behaviors later? One particular area worthy of closer examination relates to one’s environment and how extraneous information can intrude our waking and restful thoughts. In fact, research conducted by Van den Bulck, Cetin, Terzi, and Bushman (2016) revealed that violent and sexual media viewing can not only influence one’s memories, but this content can have an impact on dreams as well. Read the article listed below. Van den Bulck, J., Cetin, Y., Terzi, O., & Bushman, B. J. (2016). Violence, sex, and dreams: Violent and sexual media content infiltrate our dreams at night. Dreaming, 26(4), 271-279. Retrieved from https://libraryresources.columbiasouthern.edu/login?url=http://search.ebscohost.com/login.aspx? direct=true&db=pdh&AN=2016-54555-001&site=ehost-live&scope=site After reading the article, write a review of the article that discusses the featured study, literature from the text, and your opinion of the article as well. Your review should also relate back to the information covered in Unit IV. In your review, be sure to include the following items: Briefly introduce and summarize the article. Identify the authors’ main points. Explain how the study’s results may differ if conducted in the United States as opposed to using Turkish participants. Keep in mind that Turkey has stricter sexual media censorship rules than the United States, and violations of such can produce regulation fines. Explain additional factors that influence learning, conditioning, and behaviors as outlined in the textbook. Examine how one’s dreams influence external behaviors. Describe the impact that violence and social media can have on behaviors. Relate the article back to this course. Does it support the information in your textbook? Your article review must be a minimum of two pages in length. You must reference the assigned article and your textbook. If necessary, you may use other scholarly sources to support your review as well. All sources used must be referenced; paraphrased and quoted material must have accompanying citations. Please be sure to cite any outside sources, and format your paper in accordance with proper APA formatting.

Descriptive Statistics

Descriptive Statistics

The Statistics Project assignment has been broken down into multiple parts and you will complete these parts throughout the course. This week’s assignment allows you to become familiar with opening data and viewing it in Microsoft® Excel® and using the Analysis Toolpak. In research, the individual data points are entered into databases, but for the purpose of this course, the data is provided in a spreadsheet for you in the Happiness and Engagement Dataset.
Imagine you have been asked to enhance workplace happiness and engagement at your company. You have conducted a survey and gathered data on the gender, age, relationship with direct supervisor, telecommute schedule, relationship with coworkers, along with the ratings for workplace happiness and workplace engagement for 50 individuals in your department. You must determine what variables affect workplace happiness and engagement. The first step is to run descriptive statistics on each variable to learn more about the data you have collected.
Calculate descriptive statistics for the following variables in the provided Microsoft® Excel® dataset:

  • Gender
  • Age
  • Relationship with Direct Supervisor
  • Telecommute Schedule
  • Relationship with Coworkers
  • Workplace Happiness Rating
  • Workplace Engagement Rating

Write a 125- to 175-word summary of your interpretation of the descriptive results for each variable. Copy and paste the Microsoft® Excel® output below your summary.
Format your summary according to APA guidelines.

Statistics Project, Part 1: Opening Data in Microsoft® Excel® and Running Descriptive Statistics

Data

Gender Age Supervisor Telecommute Coworkers Happiness Engagement Overall Rating
1 29 1 1 2 7 8 15
2 32 4 1 3 9 10 19
1 39 1 1 1 4 5 8
1 25 2 1 2 5 8 13
1 27 1 1 1 5 4 9
2 33 3 1 2 7 8 15
2 36 3 1 2 8 7 15
1 28 3 1 3 9 8 17
1 34 3 2 3 8 8 16
2 32 2 1 2 6 8 14
2 31 1 1 1 7 5 12
2 38 1 1 1 6 8 14
2 27 3 1 2 7 9 16
2 29 4 1 2 8 9 17
1 26 4 1 2 8 8 16
1 39 4 1 3 9 8 17
1 40 1 1 1 6 8 14
2 37 2 1 1 7 9 16
2 37 3 1 2 9 7 16
1 29 3 2 2 7 8 15
1 29 3 1 2 9 7 16
1 30 2 1 1 6 7 13
2 36 3 1 3 9 9 18
1 30 3 1 2 7 7 14
2 30 2 1 2 8 7 15
2 35 4 1 2 8 8 16
1 27 3 2 3 9 9 18
2 31 2 1 3 8 8 16
2 38 1 1 2 6 8 14
2 38 3 1 2 8 8 16
1 34 2 1 1 5 6 11
2 28 3 1 2 9 9 18
1 29 2 2 2 7 8 15
1 32 4 2 2 8 8 16
1 35 2 2 3 9 9 18
1 35 3 1 2 7 7 14
2 37 2 1 2 8 9 17
2 29 3 1 2 8 8 16
1 40 4 1 2 9 8 17
2 27 4 1 1 8 7 15
1 27 2 1 1 4 6 10
1 34 1 1 2 8 7 15
2 34 1 2 1 7 5 12
2 25 2 2 2 9 8 17
2 25 1 1 1 5 6 11
2 29 2 1 2 8 8 16
1 30 3 1 2 9 9 18
1 30 3 1 2 7 8 15
2 35 2 2 1 6 6 12
2 34 4 1 3 9 9 18

Information

Variable Description of Values
Gender 1= Male, 2=Female
Age Chronological Age (in years)
Relationship With Direct Supervisor 1 = negative relationship, 2 = neutral relationship, 3 = positive relationship, 4 = great relationship
Telecommute Schedule 1= no ability to telecommute, 2 = able to telecommute at least 2 days per week
Relationship With Coworkers 1 = negative relationship, 2 = no relationship, 3 = positive relationship
Workplace Happiness Rating Scale 0-10, 0 = no happiness, 10 = completely happy
Workplace Engagement Rating Scale 0-10, 1 = no engagement, 10 = highly engaged
Overall Combined Rating Scale 0-20, 0 = not happy and not engaged, 20 = completely happy and highly engaged

Probability and Statistical Analysis

Title
ABC/123 Version X
1
Probability and Statistical Analysis Worksheet
PSYCH/625 Version 5
1

University of Phoenix Material
Probability and Statistical Analysis Worksheet

Complete Parts A, B, and C below.

Part A


1. Why is a z score a standard score? Why can standard scores be used to compare scores from different distributions? Why is it useful to compare different distributions?

2. For the following set of scores, fill in the cells. The mean is 74.13 and the standard deviation is 9.98.

Raw score Z score
68.0 ?
? –1.6
82.0 ?
? 1.8
69.0 ?
? –0.5
85.0 ?
? 1.7
72.0 ?


3. Questions 3a through 3d are based on a distribution of scores with and the standard deviation = 6.38. Draw a small picture to help you see what is required.

a. What is the probability of a score falling between a raw score of 70 and 80?

b. What is the probability of a score falling above a raw score of 80?

c. What is the probability of a score falling between a raw score of 81 and 83?

d. What is the probability of a score falling below a raw score of 63?

4. Jake needs to score in the top 10% in order to earn a physical fitness certificate. The class mean is 78 and the standard deviation is 5.5. What raw score does he need?

Part B

The questions in Part B require that you access data from the Pulse Rate Dataset.

The data is based on the following research problem:


Ann conducted a study on the things that may affect pulse rate after exercising. She wants to describe the demographic characteristics of a sample of 55 individuals who completed a large-scale survey. She has demographic data on the participants’ gender (two categories), their age (open ended), their level of exercise (three categories), their height (open ended), and their weight (open ended).

5. Using Microsoft® Excel® software, run descriptive statistics on the gender and level of exercise variables. From the output, identify the following:

a. Percent of men

b. Mode for exercise frequency

c. Frequency of high level exercisers (exercise level 1) in the sample

6. Using Microsoft® Excel® software, run descriptive statistics to summarize the data on the age variable, noting the mean and standard deviation. Copy and paste the output from Microsoft® Excel® into this worksheet.

Part C


Answer the questions below in at least 90 words. Be specific and provide examples when relevant.

Cite any sources consistent with APA guidelines.

Question Answer
How does understanding probability help you understand inferential statistics?
When have you used probability in everyday life? How did you use it?
Which do you think would be a more serious violation: a Type I or Type II error? And why?
What are the characteristics that separate parametric and nonparametric tests?
What does statistical significance mean? How do you know if something is statistically significant? What is the difference between statistical significance and practical significance?


Copyright © XXXX by University of Phoenix. All rights reserved.

Copyright © 2018 by University of Phoenix. All rights reserved.

Introduction to Hypothesis Testing Table

Introduction to Hypothesis Testing Table

Introduction to Hypothesis Testing Table
PSYCH/625 Version 5
1

University of Phoenix Material

Introduction to Hypothesis Testing Table
Identify whether each research scenario listed in the left column of the top of the matrix, would be a one- or two-tailed test and then justify your decision. For each research scenario in the bottom of the matrix, write what the null and alternative hypotheses would be.

Research Scenario One-tail or two-tail test Justification
A local dermatologist claims that more than 30% of mole biopsies are unnecessary. Last month at his clinic, 210 out of 634 had benign biopsy results. Is there enough evidence to reject the dermatologist’s claim?
Research Scenario Null hypothesis: Alternative hypothesis:

Copyright © 2018 by University of Phoenix. All rights reserved.