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Completethe University of Phoenix Material: Week 1 Practice Worksheet.
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Week 1 Practice Worksheet
Provide a response to the following questions. Written responses should be at least 30 to 45 words each.
1.Explain and provide an example for each of the following types of variables:
a.Nominal:
b.Ordinal:
c.Interval:
d.Ratio scale:
e.Continuous:
f.Discrete:
g.Quantitative:
h.Qualitative:
2.The following are the speeds of 40 cars clocked by radar on a particular road in a 35 milesperhour zone on an afternoon:
30, 36, 42, 36, 30, 52, 36, 34, 36, 33, 30, 32, 35, 32, 37, 34, 36, 31, 35, 20
24, 46, 23, 31, 32, 45, 34, 37, 28, 40, 34, 38, 40, 52, 31, 33, 15, 27, 36, 40
Create a frequency table and a histogram. Then, describe the general shape of the distribution.
3.Raskauskas and Stoltz (2007) asked a group of 84 adolescents about their involvement in traditional and electronic bullying. The researchers defined electronic bullying as “…a means of bullying in which peers use electronics (such as text messages, emails, and defaming Web sites) to taunt, threaten, harass, and/or intimidate a peer” (p. 565). The table below is a frequency table showing the adolescents’ reported incidence of being victims or perpetrators of traditional and electronic bullying.
a.Using the table below as an example, explain the idea of a frequency table to a person who has never taken a course in statistics.
b.Explain the general meaning of the pattern of results.
Incidence of Traditional and Electronic Bullying and Victimization (N = 84) 

Forms of bullying 
N 
% 

Electronic victims 
41 
48.8 

Textmessage victim 
27 
32.1 

Internet victim (websites, chatrooms) 
13 
15.5 

Cameraphone victim 
8 
9.5 

Traditional victims 
60 
71.4 

Physical victim 
38 
45.2 

Teasing victim 
50 
59.5 

Rumors victim 
32 
38.6 

Exclusion victim 
30 
50 

Electronic bullies 
18 
21.4 

Textmessage bully 
18 
21.4 

Internet bully 
11 
13.1 

Traditional bullies 
54 
64.3 

Physical bully 
29 
34.5 

Teasing bully 
38 
45.2 

Rumor bully 
22 
26.2 

Exclusion bully 
35 
41.7 
4.Describe whether each of the following data words best describes descriptive statistics or inferential statistics. Explain your reasoning.
5.Compare the three types of research methods and statistics.
6.Regarding gun ownership in the United States, data from Gallup polls over a 40year period show how gun ownership in the United States has changed. The results are described below, with the percentage of Americans who own guns given in each of the 5 decades.
Year 
% 
1972 
43 
1982 
42 
1992 
48 
2002 
40 
2012 
43 
7.Refer to the SimpsonSouthward et al. (2016) article from this week’s electronic readings. Was this an example of inferential statistics and research or descriptive statistics and research? Justify your response.
Completethe University of Phoenix Material: Week 2 Practice Worksheet.
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Week 2 Practice Worksheet
Provide a response to the following questions.
1.The Wilcox & Keselman (2003) article from this week’s electronic readings discusses two problems with measures of central tendency: skewness of the data and outliers. Discuss each of these issues and how they affect measures of central tendency.
2.For the following scores, find the mean, median, and mode. Which would be the most appropriate measure for this data set? You may use Microsoft^{®} Excel^{®} data anlysis to compute these statistics. You may copy your output from Microsoft^{®} Excel^{®} into this worksheet.
2, 2, 0, 5,1, 4,1, 3, 0, 0, 1, 4, 4, 0,1, 4, 3, 4, 2, 1
3.Based on the scale of measurement for each variable listed below, which measure of central tendency is most appropriate for describing the data?
a.The time (in years) it takes a sample of students to graduate college.
b.The blood type (such as A, B, AB, or O) of a group of participants.
c.The rankings of college undergraduate academic programs.
4.How do the sample mean and the population mean differ? What is the symbol for each type of mean?
5.An expert reviews a sample of 10 scientific articles (n = 10) and records the following numbers of error in each article: 0, 4, 2, 8, 2, 3, 1, 0, 5, and 7. Compute the SS, the variance, and the standard deviation for this sample using the definitional and computational formulas. You may use Microsoft^{®} Excel^{®} data anlysis to compute these statistics. You may copy your output from Microsoft^{®} Excel^{®} into this worksheet.
6.A psychologist interested in political behavior measured the square footage of the desks in the official office of four U.S. governors and of four CEOs of major U.S. corporations. The figures for the governors were 44, 36, 52, and 40 square feet. The figures for the CEOs were 32, 60, 48, 36 square feet.
a.Figure the means and standard deviations for the each group: governors and CEOs.
b.Explain, to a person who has never had a course in statistics, what you have done.
c.Note the ways in which the means and standard deviations differ, and speculate on the possible meaning of these differences, presuming they are representative of U.S. governors and large corporations’ CEOs in general.
7.Radel and colleagues (2011) conducted a study of how feeling overly controlled makes you desire—even unconsciously—more freedom. In their study, 52 Canadian undergraduates played a video game in a laboratory and were randomly assigned to one1 of the following:
An automony deprivation condition, in which they were told to follow instructions precisely, constantly given instructions over a loudspeaker, and carefully observed on everything they did.
A neutral condition, which was much more laid back.
After this activity, they were asked to do a lexical decision task (a standard approach for measuring unconscious responses), in which they were shown a series of words and nonwords in random order and had to press C if it was a real word or N if not. Half of the real words were related to autonomy (such as freedom and choice), and half were neutral (such as whisper and hammer). The key focus of the study was on how long it took people to press the button (response latency) for each kind of real word, averaged over the many words of each type. The table below shows the mean and standard deviation across the participants of these four categories of results. For example, 782 milliseconds (thousandths of a second) is the average time it took participants in the autonomydeprived condition to respond to the autonomyrelated words, and 211 is the standard deviation across the 26 participants’ average response time in that condition. Explain the numbers in this table to a person who has never taken a course in statistics. (Be sure to explain some specific numbers, as well as the general principle of the mean and standard deviation.) For your interest, the pattern of results shown here supported the researchers’ hypothesis: “Relative to a neutral instructional climate, a controlling climate thwarting the need for autonomy…enhanced accessibility for autonomyrelated words” (p. 924).
Mean Latencies (in Milliseconds) in the Lexical Task Assessing Accessibility for AutonomyRelated Constructs (Experiment 1) 

Condition 

Autonomy Deprivation 
Neutral 

Construct 
M 
SD 
M 
SD 

Autonomyrelated words 
782 
211 
857 
243 

Neutral words 
835 
258 
841 
301 
8.A researcher records the levels of attraction for various fashion models among college students. He finds that mean levels of attraction are much higher than the median and the mode for these data.
a.What is the shape of the distribution for the data in this study?
b.What measure of central tendency is most appropriate for describing these data? Why?
9.An organizational psychologist measures levels of job satisfaction in a sample of 30 participants. To measure the variance of job satisfaction, it is calculated that the SS = 120 for this sample.
Resource: University of Phoenix Material: Inferential Research and Statistics Project
CompletePart 1 of the Inferential Research and Statistics Project.
Clickthe Assignment Files tab to submit your assignment.
Part 1
Select one of the following scenarios based on your particular field of interest in psychology:
Industrial/Organizational Psychology:
oA few months ago, the upper management at a large corporation decided they wanted to make major changes in the organization. Leadership is concerned that employees may be resistant to the change, and they want to find out if there is a change management method that would help employees accept change more effectively and keep employee satisfaction high. Two methods they have considered are the ADKAR Framework and the Prosci Change Management Methodology. The company wants to implement a small change in two departments before they make any major organization changes and would like to test the methods. The corporation uses the Devine Company to measure employee satisfaction with an anonymous survey.
Applied Psychology:
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 followup 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.
General Psychology:
oClinicians at a small clinic have been introduced to a new method to treat posttraumatic stress disorder (PTSD) in their clients for veterans. Research indicates that virtual reality (VR) is a highly effective treatment option for patients with PTSD. Currently, the clinic uses only cognitive processing therapy (CPT) with their patients suffering from PTSD. The clinicians would like to find out whether VR therapy has different results from CPT therapy. The measure used by the clinic to measure PTSD symptoms is the Combat Exposure Scale. Both therapies need to be applied for a minimum of 12 weeks to be effective.
Write a 525 to 750word 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 onetailed test or twotailed 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?
Format your paper according to APA guidelines.
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 H_{0}: drug A = drug B
Research hypothesis is H_{1}:_{ d}rug 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 twotailed 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.
Completethe University of Phoenix Material: Week 3 Practice Worksheet.
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Week 3 Practice Worksheet
Provide a response to the following questions.
Note: Each team member should compute the following questions and submit to the Learning Team forum. The team should then discuss each team member’s answers to ascertain the correct answer for each question. Once the team has answered all the questions, submit a finalized team worksheet.
1.On a standard measure of hearing ability, the mean is 300, and the standard deviation is 20. Provide the Z scores for persons whose raw scores are 340, 310, and 260. Provide the raw scores for persons whose Z scores on this test are 2.4, 1.5, and 4.5.
2.Using the unit normal table, find the proportion under the standard normal curve that lies in the tail for each of the following:
a.z = 1.00
b.z = 1.05
c.z = 0
d.z = 2.80
e.z = 1.96
3.Suppose the scores of architects on a particular creativity test are normally distributed. Using a normal curve table (pp. 477–480 of the text), what percentage of architects have Z scores
a.above .10?
b.below .10?
c.above .20?
d.below .20?
e.above 1.10?
f.below 1.10?
g.above .10?
h.below .10?
4.A statistics instructor wants to measure the effectiveness of his teaching skills in a class of 102 students (N = 102). He selects students by waiting at the door to the classroom prior to his lecture and pulling aside every third student to give him or her a questionnaire.
5.Suppose you were going to conduct a survey of visitors to your campus. You want the survey to be as representative as possible.
a.How would you select the people to survey?
b.Why would that be your best method?
Resource: University of Phoenix Material: Inferential Research and Statistics Project
CompletePart 2 of the Inferential Research and Statistics Project.
Clickthe Assignment Files tab to submit your assignment.
Part 2
Analyze the data from Part 1 using Microsoft^{®} Excel^{®} software.
Write a 700 to 875word 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 twotailed test?
oWas your test onetailed or twotailed?
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: TwoSample Assuming Equal Variances 


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 <= t) onetail 
0.045002328 

t Critical onetail 
1.761310136 

P(T <= t) twotail 
0.090004655 

t Critical twotail 
2.144786688 
Completethe University of Phoenix Material: Week 4 Practice Worksheet.
Clickthe Assignment Files tab to submit your assignment.
Week 4 Practice Worksheet
Provide a response to the following questions.
Note: Each team member should compute the following questions and submit to the Learning Team forum. The team should then discuss each team member’s answers to ascertain the correct answer for each question. Once your team has answered all the questions, submit a finalized team worksheet.
1.Two boats, the Prada (Italy) and the Oracle (USA), are competing for a spot in the upcoming America’s Cup race. They race over a part of the course several times. The sample times in minutes for the Prada were as follows: 12.9, 12.5, 11.0, 13.3, 11.2, 11.4, 11.6, 12.3, 14.2, and 11.3. The sample times in minutes for the Oracle were as follows: 14.1, 14.1, 14.2, 17.4, 15.8, 16.7, 16.1, 13.3, 13.4, 13.6, 10.8, and 19.0. For data analysis, the appropriate test is the t test: twosample assuming unequal variances.
The next table shows the results of this independent t test. At the .05 significance level, can you conclude that there is a difference in their mean times? Explain these results to a person who knows about the t test for a single sample but who is unfamiliar with the t test for independent means.
Hypothesis Test: Independent Groups (t test, unequal variance) 

Prada 
Oracle 

12.170 
14.875 
mean 

1.056 
2.208 
std. dev. 

10 
12 
n 

16 
df 

2.7050 
difference (Prada  Oracle) 

0.7196 
standard error of difference 

0 
hypothesized difference 

3.76 
t 

.0017 
pvalue (twotailed) 

4.2304 
confidence interval 95.% lower 

1.1796 
confidence interval 95.% upper 

1.5254 
margin of error 

2.The Willow Run Outlet Mall has two Haggar Outlet Stores, one located on Peach Street and the other on Plum Street. The two stores are laid out differently, but both store managers claim their layout maximizes the amounts customers will purchase on impulse. A sample of 10 customers at the Peach Street store revealed they spent the following amounts more than planned: $17.58, $19.73, $12.61, $17.79, $16.22, $15.82, $15.40, $15.86, $11.82, $15.85. A sample of 14 customers at the Plum Street store revealed they spent the following amounts more than they planned when they entered the store: $18.19, $20.22, $17.38, $17.96, $23.92, $15.87, $16.47, $15.96, $16.79, $16.74, $21.40, $20.57, $19.79, $14.83. For data analysis, a t test: twosample assuming unequal variances was used.
At the .01 significance level, is there a difference in the mean amount purchased on an impulse at the two stores? Explain these results to a person who knows about the t test for a single sample but who is unfamiliar with the t test for independent means.
Hypothesis Test: Independent Groups (t test, unequal variance) 

Peach Street 
Plum Street 

15.8680 
18.2921 
mean 

2.3306 
2.5527 
std. dev. 

10 
14 
n 

20 
df 

2.42414 
difference (Peach Street  Plum Street) 

1.00431 
standard error of difference 

0 
hypothesized difference 

2.41 
t 

.0255 
pvalue (twotailed) 

5.28173 
confidence interval 99.% lower 

0.43345 
confidence interval 99.% upper 

2.85759 
margin of error 

3.Fry Brothers Heating and Air Conditioning, Inc. employs Larry Clark and George Murnen to make service calls to repair furnaces and air conditioning units in homes. Tom Fry, the owner, would like to know whether there is a difference in the mean number of service calls they make per day. Assume the population standard deviation for Larry Clark is 1.05 calls per day, and 1.23 calls per day for George Murnen. A random sample of 40 days last year showed that Larry Clark made an average of 4.77 calls per day. For a sample of 50 days, George Murnen made an average of 5.02 calls per day. At the .05 significance level, is there a difference in the mean number of calls per day between the two employees? What is the pvalue?
Hypothesis Test: Independent Groups (t test, pooled variance) 

Larry 
George 

4.77 
5.02 
mean 

1.05 
1.23 
std. dev. 

40 
50 
n 

88 
df 

0.25000 
difference (Larry  George) 

1.33102 
pooled variance 

1.15370 
pooled std. dev. 

0.24474 
standard error of difference 

0 
hypothesized difference 

1.02 
t 

.3098 
pvalue (twotailed) 

0.73636 
confidence interval 95.% lower 

0.23636 
confidence interval 95.% upper 

0.48636 
margin of error 
Resource: University of Phoenix Material: Inferential Research and Statistics Project
CompletePart 3 of the Inferential Research and Statistics Project.
Clickthe Assignment Files tab to submit your assignment.
Part 3
Create a 12 to 15slide presentation using the information you gathered and submitted in Weeks 3 & 4. Include the following:
Describe the problem, and provide some brief background about the situation.
Explain the research hypothesis.
Describe your sample and your sampling method.
Explain the four steps of the research process you followed, and define the critical value and the test statistic your analysis provided.
Provide the main finding of the study. What did you prove or fail to prove?
Provide recommendations based on your findings.
Format any citations in your presentation according to APA guidelines.
Completethe University of Phoenix Material: Week 5 Practice Worksheet.
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Week 5 Practice Worksheet
Provide a response to the following questions.
Note: Each team member should compute the following questions and submit them to the Learning Team forum. The team should then discuss each team member’s answers to ascertain the correct answer for each question. Once your team has answered all the questions, submit a finalized team worksheet.
Your research team has been tasked with finding the correlation of the following scenario:
Four research participants take a test of manual dexterity (high scores mean better dexterity) and an anxiety test (high scores mean more anxiety). The scores are as follows:
Person Dexterity Anxiety
1 1 10
2 1 8
3 2 4
4 4 2
Describe the process your research team would go through by completing the following:
1.Create a scatter diagram of the scores, which should be a negative direction.
2.Describe in words the general pattern of correlation, if any.
3.Figure the correlation coefficient.
4.Explain the logic of what you have done, writing as if you are speaking to someone who has never heard of correlation (but who does understand the mean, standard deviation, Z scores, and hypothesis testing).
5.Provide three logically possible directions of causality, indicating for each direction whether it is a reasonable explanation for the correlation in light of the variables involved. Explain why.