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PSYCH 625 Assignment Week 1 Descriptive and Inferential Statistics
Worksheet (New Syllabus)
PSYCH 625 Assignment Week 2 Probability and Statistical Analysis
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 (New Syllabus)
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.

Highlight the required answers to the question in your Excel output.
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:
2. 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

3. 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?
4. 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?
5. For each of the following, indicate whether you would use a pie, line,
or bar chart, and why:
a. The proportion of freshmen, sophomores, juniors, and seniors in a
particular university
b. Change in GPA over four semesters
c. Number of applicants for four different jobs
d. Reaction time to different stimuli
e. Number of scores in each of 10 categories
NO RESPONSES

6. 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.
Question Answer
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 Probability and Statistical
Analysis Worksheet (New Syllabus)
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 of men
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.
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?
==============================================

PSYCH 625 Assignment Week 2 Statistics Project, Part 1
Opening Data In Microsoft® Excel® And Running
Descriptive Statistics (New Syllabus)
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 3 Identifying Statistical Tests
in the Literature Worksheet (New Syllabus)

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:
Question Answer
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?
==============================================

Hypothesis Testing And Two-Group T Tests (New Syllabus)
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
Comparing Means Worksheet
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). ConductTukey’s
HSD post hoc tests, if necessary. On the output, identifythe following:
a. F ratio for the group effect
b. Sums of squares for the exercise effect
c. Mean for moderate exercisers
d. P value for exercise effect
Write a 125- to 175-word summary of the results, formatted according to
APA guidelines.

==============================================
(New Syllabus)
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
(New Syllabus)
PSYCH 625 Assignment Week 5 Correlation Worksheet (New Syllabus)
==============================================
Correlation (New Syllabus)

For this assignment, you will calculate the Pearson product-moment
correlations between at least two sets of variables in the Happiness and
Engagement Dataset.
Perform one correlation between two independent variables, such as Age
and Relationship with Coworkers.
Perform the second correlation on an independent variable (such as
Relationship with Direct Supervisor) and the dependent variable (such as
Workplace Happiness Rating).
Calculate the Pearson product-moment correlations between at least two
sets of variables in your data set.
Write a 125- to 175-word summary of your interpretation of the
correlation results. Remember that most people never see the actual
output or data, and rely on the results statements by the researcher.
Ensure that your summary is accurate. Copy and paste your Microsoft®
Excel® output below the summary.
==============================================
PSYCH 625 Assignment Week 6 Chi-Square Worksheet
(New Syllabus)

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.
Answer the following questions about this chi-square output in one to
two sentences each:
1. How many categories are listed for analysis?

2. What is the expected N size?
3. What is the chi-square value?
4. How many degrees of freedom are there?
5. 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.
Paste your Microsoft® Excel® output below your summary.
==============================================
Presentation (New Syllabus)

You have made it to the final step of your individual project. In this
assignment, you will develop the skills needed to compile statistics as a
part of the research process.
Imagine you must present your research findings to your Human
Resources department.
Create a 12- to 15-slide Microsoft® PowerPoint® presentation
discussing your analysis of the data. Include the following in your
presentation:
• An introduction that includes the data and variables from the
Happiness and Engagement Dataset.
• A description and the results of each analysis, including:
o The descriptive statistics from Part 1
o The t test from Part 2
o The ANOVA from Part 3
o The bivariate correlations from Part 4
• A conceptual summary of the results stating what the data conveys.
Include detailed speaker notes on each slide as a transcript of what you
would say while presenting this information.

Format any citations in your presentation and speaker notes according to
APA guidelines.
==============================================

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