# Project #48563 - IMB SPSS

Homework 5 Z-Scores

Z-Scores

Be sure you have reviewed this module/week’s lesson and presentations along with the practice data analysis before proceeding to the homework exercises. Complete all analyses in SPSS, then copy and paste your output and graphs into your homework document file. Answer any written questions (such as the text-based questions or the APA Participants section) in the appropriate place within the same file.

 Part I: Concepts Questions 1–9 These questions are based on the Nolan and Heinzen reading and end-of-chapter questions.

 1) What are always the mean and standard deviation of the z-distribution? Answer (mean) Answer (standard deviation)

 2) Define the central limit theorem. Answer

 3) Fill in the blanks: A z-score is based on a distribution of ________, while a z-statistic is based on a distribution of ________.

 Part I: Question 4 End-of-chapter problems: Remember to show work to receive partial credit where applicable. For help working on these problems, refer to the presentation from this module/week on the normal curve and computing z-scores. ·         Raw and z-scores: 6.16 and 6.20 ·         Estimating percentages under normal curve: 6.27 ·         Distribution of means and z-statistic: 6.28 and 6.30 4)  Raw and z-scores: Exercise 6.16 4a)  Answer (Optional-Show work here) Work: 4b)  Answer Work: 4c)  Answer Work: 4d)  Answer Work: 5)  Raw and z-scores: Exercise 6.20 5a)  Answer Work: 5b)  Answer Work: 5c)  Answer Work: 5d)  Answer Work: 7)  Estimating percentages under normal curve: Exercise 6.27 7a)  Answer Work: 7b)  Answer Work: 7c)  Answer Work: 7d)  Answer Work: 8)  Distribution of means: Exercise 6.28 8a)  Answer Work: 8b)  Answer Work: 8c)  Answer Work: 9)  z-statistic: Exercise 6.30 9a)  Answer Work: 9b)  Answer Work: 9c)  Answer Work:

 Part II: SPSS Analysis Module 5 Lesson 21 Exercise File 1 Open the “Lesson 21 Exercise File 1” document (found in the course’s Assignment Instructions folder) in order to complete these exercises.

 Part II: Exercises 1a-1d and Exercise 4 Use file: Module 5 Lesson 21 Exercise File 1 Using the data set (answers will be pasted into the blanks below this summary): ·         a) Create a histogram of the raw scores ·         b) Transform the raw scores to z-scores o   Label the new variable “z_anxiety” ·         Paste Descriptive Statistics Table of the raw anxiety scores o   Note that descriptive statistics should describe the original raw scores and not the new z scores ·         c) Identify the z-score that is closest to 0 and farthest from 0. ·         d) Evaluate whether the scores are normally distributed. o   Support your answer. 1a) Create a histogram of the anxiety raw scores and paste it below. Answer: Histogram 1b) Using the descriptives method covered in the presentation and chapter, transform the anxiety raw scores to z-scores, creating a new variable called “z_anxiety.” Paste the output of descriptive statistics in the cell below. These descriptive statistics should describe the original raw scores and not the new z-scores. Answer: Descriptive Statistics Table 1c) What is the z-score that is closest to 0 (on either side of the mean) in the data set? What is the z-score that is the farthest from 0 (on either side of the mean) in the data set? Answer Answer 1d) Based on the histogram from (1a) and the answers to (1c), would you describe the anxiety data as being normally distributed? Why or why not? Support your answer with information from the chapter and presentations regarding normal and standard normal z-distributions. Answer Justification

 Part III: SPSS Data Entry and Analysis Data provided below.

 IQ Scores 123 119 104 145 108 100 115 105 60 122 105 87 98 124 80 93 89 123 118 104 112 96 85 98 105 91 113 82 124 90

Part III:
Questions 1a-1f

The data in the columns to the left represent IQ scores of a sample of 30 high school students. In the general population, IQ scores have a mean of 100 and a standard deviation of 15.

·         Generate descriptive statistics for this variable.

·         Generate a histogram for this variable.

·         Choose 1 measure of central tendency and 1 measure of dispersion (variability) that best describes the data set.

·         In your data set, standardize the IQ scores by transforming them into z-scores

o   Label the new variable “ZIQ”

·         Which z-scores corresponds to a raw IQ score of 115, 60 and 104?

·         Does the distribution reflect the distribution in the general population?

1-a)

Generate descriptive statistics for this variable.

1-b)

Generate a histogram for this variable.

1-c)

Choose 1 measure of central tendency and 1 measure of dispersion (variability) that best describes the data set.

Justify why you chose these measures in a statement beneath the output.

Justification

1-e)

In your data set, standardize the IQ scores by transforming them into z-scores under a new variable “ZIQ.”
Using your data set as a reference, what z-score corresponds to a raw IQ score of 115?

To a raw IQ score of 60? To a raw IQ score of 104?

IQ 115

IQ 60

IQ 104

1-f)

Based on what you have been told about IQ scores in the beginning of the problem,

does this sample’s distribution seem to reflect the distribution of IQ scores in the general population?

Why or why not?

Justification

 Part IV:  Question 1a-1d (Non-SPSS) A cognitive psychologist wants to find out whether playing Minecraft® affects fourth graders’ scores on a visuospatial task. He assigns 30 fourth graders to 1 of 2 groups. Group 1 plays Minecraft® for 20 minutes, then completes the visuospatial task. Group 2 completes the visuospatial task without playing Minecraft®. 1-a) What is the independent variable in this experiment? Answer 1-b) What is the dependent variable? Answer 1-c) What is the likely null hypothesis for this experiment? Answer 1-d) What is the likely research hypothesis for this experiment? Answer

 Part IV:  Question 2a & 2b (Non-SPSS) A clinical psychologist wants to test a new long-term treatment program for people diagnosed with bipolar disorder. She assigns 20 participants to the new treatment program and 20 participants to a standard treatment program. 2-a) State the likely null hypothesis for this study. Answer 2-b) State the likely research hypothesis for this study. Answer

 ASPD Diagnosis No ASPD Diagnosis 23 11 19 21 22 9 16 27 31 31 10 8 19 13 6 4 9 15 11 7

Part IV:
Questions 3a & 3b
(SPSS)

A criminal psychologist wants to examine the level of narcissistic personality traits between those who are diagnosed with antisocial personality disorder (ASPD) and those who do not qualify for ASPD. She administers a measure of narcissistic personality traits where higher scores indicate higher levels of narcissism and scores range from 0–35.

·         Create a new SPSS data file for these scores.

·         Your file must have 2 variables: Diagnosis and Score.

·         Your diagnosis variable must be set up as a 1-column grouping variable with 2 groups (diagnosis, no diagnosis) coded numerically. This will be much like the gender variable you created in a previous module/week.

o   For example, if you code ASPD Diagnosis as 1 and No ASPD Diagnosis as 2, then the SPSS file will appear somewhat like the following:

 Column 1 Column 2 “Diagnosis” “Score” 1 23 1 11 1 19

·         All ASPD Diagnosis scores from the table above will appear in a similar fashion.

·         Then, enter No ASPD Diagnosis information as:

 Column 1 Column 2 2 10 2 8 2 19

[Continue in this fashion to the end of the file]

·         a) Compute descriptive statistics by diagnosis (that is, for each of the two groups in one table) using similar steps to those covered in Green and Salkind’s Lesson 21 and in the Module/Week 3 presentation (HS GPA scores by Gender).

·         b) Construct a boxplot to show the difference between the mean scores of the 2 groups

3-a)

Compute descriptive statistics by diagnosis (that is, for each of the two groups in one table).

Answer: SPSS Table-  Descriptive Statistics for  Score (level of narcissistic personality) grouped by Diagnosis (ASPD/No ASPD):

[Paste one table]

3-b)

Construct a boxplot to show the difference between the mean scores of the 2 groups.

Submit Homework 5 by 11:59 p.m. (ET) on Monday of Module/Week 5.

 Done!

 Subject Mathematics Due By (Pacific Time) 11/22/2014 05:00 pm
TutorRating
pallavi

Chat Now!

out of 1971 reviews
amosmm

Chat Now!

out of 766 reviews
PhyzKyd

Chat Now!

out of 1164 reviews
rajdeep77

Chat Now!

out of 721 reviews
sctys

Chat Now!

out of 1600 reviews

Chat Now!

out of 770 reviews
topnotcher

Chat Now!

out of 766 reviews
XXXIAO

Chat Now!

out of 680 reviews