# PSYCH 625 All Assignments Latest Work

PSYCH 625 All Assignments Latest Work

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PSYCH 625 All Assignments Latest Work

PSYCH 625 Assignment Week 1 Descriptive and Inferential Statistics Worksheet (New Syllabus)

PSYCH 625 Assignment Week 2 Probability and Statistical Analysis Worksheet (New Syllabus)

PSYCH 625 Assignment Week 3 Identifying Statistical Tests in the Literature Worksheet (New Syllabus)

PSYCH 625 Assignment Week 4 Comparing Means Worksheet (New Syllabus)

PSYCH 625 Assignment Week 5 Correlation Worksheet (New Syllabus)

PSYCH 625 Assignment Week 6 Chi-Square Worksheet  (New Syllabus)

PSYCH 625 Week 2 Statistics Project, Part 1 Opening Data In Microsoft® Excel® And Running Descriptive Statistics (New Syllabus)

PSYCH 625 Week 3 Statistics Project, Part 2 Hypothesis Testing And Two-Group T Tests (New Syllabus)

PSYCH 625 Week 4 Statistics Project, Part 3 (New Syllabus)

PSYCH 625 Week 5 Statistics Project, Part 4 Correlation (New Syllabus

PSYCH 625 Week 6 Statistics Project, Part 5 Presentation (New Syllabus)

# PSYCH 625 Assignment Week 1 Descriptive and Inferential Statistics Worksheet Latest Work

PSYCH 625 Assignment Week 1 Descriptive and Inferential Statistics Worksheet Latest Work

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PSYCH 625 Assignment Week 1 Descriptive and Inferential Statistics Worksheet  Latest Work

Complete both Part A and Part B below

Part A

Before completing the following questions, be sure to have read Appendix C and the Statistical Software Resources at the ends of Chapters 2 and 3 from Statistics Plain and Simple.

1. Using Microsoft® Excel®, enter the following data from the 40 participants by first creating a variable labeled “Score”. Next, compute the mean, median, and mode for the following set of 40 reading scores:
1. Imagine you are the assistant manager of a fast food store. Part of your job is to report which special is selling best to the store manager at the end of each day. Use your knowledge of descriptive statistics and write one paragraph to let the store manager know what happened today. Use the following data.

Special number            Sold     Cost

Huge Burger   20        \$2.95

Baby Burger    18        \$1.49

Chicken Littles            25        \$3.50

Porker Burger  19        \$2.95

Yummy Burger           17        \$1.99

Coney Dog      20        \$1.99

Total specials sold       119

1. Suppose you are working with a data set that has some different (much larger or much smaller than the rest of the data) scores. What measure of central tendency (mean, median or mode) would you use and why?
1. During the course of a semester, 10 students in Mr. Smith’s class took three exams. Use Microsoft® Excel® to compute all the descriptive statistics for the following set of three test scores over the course of a semester. Which test had the highest average score? Which test had the smallest amount of variability? How would you interpret the differences between exams, and note the range, means, and standard deviations over time?
1. For each of the following, indicate whether you would use a pie, line, or bar chart, and why:
1. The proportion of freshmen, sophomores, juniors, and seniors in a particular university
1. Change in GPA over four semesters
1. Number of applicants for four different jobs
1. Reaction time to different stimuli
1. Number of scores in each of 10 categories

NO RESPONSES

1. Using the data from question 1, create a frequency table and a histogram in Microsoft® Excel®.

Part B

Answer the questions below. Be specific and provide examples when relevant.

Cite any sources consistent with APA guidelines.

What are statistics and how are they used in the behavioral sciences? Your answer should be 100 to 175 words.

Providing examples of each, compare and contrast the four levels of measurement. Your answer should be 175 to 350 words.

Differentiate between descriptive and inferential statistics. What information do they provide? What are their similarities and differences? Your answer should be 175 to 350 words.

# PSYCH 625 Assignment Week 2 Statistics Project Part 1 Opening Data In Microsoft Excel And Running Descriptive Statistics Latest Work

PSYCH 625 Assignment Week 2 Statistics Project Part 1 Opening Data In Microsoft Excel And Running Descriptive Statistics Latest Work

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PSYCH 625 Assignment Week 2 Statistics Project Part 1 Opening Data In Microsoft Excel And Running Descriptive Statistics Latest Work

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.

# PSYCH 625 Assignment Week 2 Probability and Statistical Analysis Worksheet Latest Work

PSYCH 625 Assignment Week 2 Probability and Statistical Analysis Worksheet Latest Work

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PSYCH 625 Assignment Week 2 Probability and Statistical Analysis Worksheet Latest Work

Probability and Statistical Analysis Worksheet

Complete Parts A, B, and C below.

Part A

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?

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

Questions 3a through 3d are based on a distribution of scores with ¯X=75 and the standard deviation = 6.38. Draw a small picture to help you see what is required.

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

What is the probability of a score falling above a raw score of 80

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

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

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).

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

Percent Mode for exercise frequency

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

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?

# PSYCH 625 Assignment Week 3 Identifying Statistical Tests in the Literature Worksheet Latest Work

PSYCH 625 Assignment Week 3 Identifying Statistical Tests in the Literature Worksheet Latest Work

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PSYCH 625 Assignment Week 3 Identifying Statistical Tests in the Literature Worksheet  Latest Work

Identifying Statistical Tests in the Literature Worksheet

Research in the University Library to find three empirical (those containing data) research articles using one of the analytic methods studied this week (i.e., z test, independent sample t test, repeated measures t test).

Select articles that are of interest to you and include the citations at the end of this document.

Fill out the following tables and answer each question in 1 to 2 sentences.

Title of Article:

What is the null hypothesis (implied or explicitly stated)?

What is the research hypothesis (implied or explicitly stated)?

What was the type of analysis (z test, independent sample t test, repeated measures t test) chosen, and why was it appropriate?

# PSYCH 625 Assignment Week 3 Statistics Project, Part 2 Hypothesis Testing And Two-Group T Tests Latest Work

PSYCH 625 Assignment Week 3 Statistics Project, Part 2 Hypothesis Testing And Two-Group T Tests Latest Work

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PSYCH 625 Assignment Week 3 Statistics Project, Part 2 Hypothesis Testing And Two-Group T Tests  Latest Work

Now that you have run descriptive statistics with your data, it is time to create a hypothesis and test your hypothesis. This part of the Statistics Project will take you through the process of creating and testing your hypothesis through statistical methods, using Microsoft® Excel®. Creating hypotheses provides you the opportunity to think like a researcher and help you understand and critique research articles you read.

Create a hypothesis for the Happiness and Engagement Dataset from Part 1 of the Statistics Project. Your hypothesis can be anything based on the variables you have in your dataset. One example: Teaching Method X provides higher test scores than Teaching Method Y.

Create a null hypothesis. (Example: Teaching Method X scores are equal to Teaching Method Y scores.)

State your null and alternate hypotheses.

Identify and justify which type of statistical analysis will be appropriate for this data.

Review the steps beginning on pp. 202 in Statistics Plain and Simple describing how to run an independent samples t test.

Run an independent samples t test on the data in your dataset.

Write a 125- to 175-word summary of your interpretation of the results of the t test, and copy and paste your Microsoft® Excel® output below the summary.

# PSYCH 625 Assignment Week 4 Comparing Means Worksheet Latest Work

PSYCH 625 Assignment Week 4 Comparing Means Worksheet Latest Work

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PSYCH 625 Assignment Week 4 Comparing Means Worksheet Latest Work

The following questions require that you access Microsoft® Excel® for analysis. The team must work together to solve these questions. The data set for this assignment is located in the Pulse Rate Dataset.

1. John is interested in determining if frequency of exercise affects pulse rate. John randomly samples individuals at a local gym to ask if they will participate in his study. 55 individuals agree, and they are divided into three groups of exercisers: 1 = high frequency, 2 = moderate frequency, 3 = low frequency. Next, John measures their pulse after their workout. Do pulse rates differ among individuals who exercise with high frequency versus those who exercise moderately versus those who exercise with low frequency?

Note: Make sure you adjust the data so that there are three exercise variables (one for each level).

Conduct a one-way ANOVA to investigate the relationship between exercise frequency (Exercise) and pulse rate (Pulse1). Conduct Tukey’s HSD post hoc tests, if necessary. On the output, identify the following

1. F ratio for the group effect

Sums of squares for the exercise effect

1. Mean for moderate exercisers

1. P value for exercise effect

Write a 125- to 175-word summary of the results, formatted according to APA guidelines.

# PSYCH 625 Assignment Week 4 Statistics Project, Part 3 Latest Work

PSYCH 625 Assignment Week 4 Statistics Project, Part 3 Latest Work

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PSYCH 625 Assignment Week 4 Statistics Project, Part 3 Latest Work

As you get closer to the final project in Week 6, you should have a better idea of the role of statistics in research. This week, you will calculate a one-way ANOVA for the independent groups. Reading and interpreting the output correctly is highly important. Most people who read research articles never see the actual output or data; they read the results statements by the researcher, which is why your summary must be accurate.

Consider your hypothesis statements you created in Part 2.

Calculate a one-way ANOVA, including a Tukey’s HSD for the data from the Happiness and Engagement Dataset.

Write a 125- to 175-word summary of your interpretation of the results of the ANOVA, and describe how using an ANOVA was more advantageous than using multiple t tests to compare your independent variable on the outcome. Copy and paste your Microsoft® Excel® output below the summary.

# PSYCH 625 Assignment Week 5 Correlation Worksheet Latest Work

PSYCH 625 Assignment Week 5 Correlation Worksheet Latest Work

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PSYCH 625 Assignment Week 5 Correlation Worksheet Latest Work

# PSYCH 625 Assignment Week 6 Chi-Square Worksheet Latest Work

PSYCH 625 Assignment Week 6 Chi-Square Worksheet Latest Work

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PSYCH 625 Assignment Week 6 Chi-Square Worksheet Latest Work

Chi-Square Worksheet

Part 1: Interpret Chi-Square Results

Review the following output from a chi-square test, and answer the questions below.

Chi-Square Test Frequencies:

a 0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is 20.0.

1. How many categories are listed for analysis?
1. What is the expected N size?
1. What is the chi-square value?
1. How many degrees of freedom are there?
1. What it the test statistic and what does it tell you about the probability?

Part 2: Conduct a Chi-Square Test

Imagine you are the manager of a non-profit business, and you are looking to hire a recent college graduate. You list the position as paying \$20,000/year. After interviewing candidates you decide that some will be offered the expected salary, while some will be offered more because of experience and interviewing skills. Others will be offered less than expected until they can demonstrate competence and their salary will increase when they are fully qualified.

Using Microsoft® Excel®, run a chi square Goodness of Fit test to determine whether these observed starting salaries are significantly different. What do the findings tell you?

Write a 75- to 100-word summary to describe your results.