PSYC 510 HOMEWORK 4 Data Organization and Descriptive Statistics

PSYC 510 HOMEWORK 4 Data Organization and Descriptive Statistics

Homework 4

Data Organization and Descriptive Statistics

When submitting this file, be sure the filename includes your full name, course and section. Example:  HW4_JohnDoe_510B01

Be sure you have reviewed this module/week’s lesson and presentations along with the practice data analysisbefore 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.

All questions are worth 2 points.

 

  Part I: General Concepts

These questions are based on the concepts covered in this week’s assigned readings and presentations.

 

 

1. The following data represents 30emotional intelligence test scores. Organize these data into a class interval frequency distribution using 11 intervals with frequency (f) and relative frequency (rf) columns.

 

30 47 53 57 61 67
40 49 55 58 62 68
41 50 56 58 64 70
45 51 57 59 64 71
46 52 57 59 65 73
 

Class Intervals(use whole numbers) f rf(round to 2 decimals)
     
     
     
     
     
     
     
     
     
     
     
  N = 30  
2. What is the range of the data (show your calculation).

 

Answer:
3. What is the class width? Answer:
4. What is the upper class limit of the first interval? Answer:

 

 

 

Answer the following questions related to your assigned readings and presentations.

 

5. You want to graph the change in company profits (in dollars) over the past 20 years. What type of graph is most appropriate? (make sure you think about whether data is discrete or continuous) Answer:
6. What measure of central tendency is the only one that can be used with nominal data?

 

Answer:
7. You want to create a graph that displays the number of employees hired each year since the inception of the company. What type of graph is most appropriate? (make sure you think about whether data is discrete or continuous) Answer:
8.

 

What is the symbol for the mean of a population? Answer:
9.

 

What is the symbol for the mean of a sample?

 

Answer:

 

 

 

Use the following numbers to calculate the following by hand (must show all work and do NOT round)

 

7 5 9 3 5

 

 

10. What is the mean? Answer:
11. What is the median?

 

Answer:
12. What is the mode? Answer:
13.

 

Is this data best described as normal, positively skewed, or negatively skewed? Answer:
14.

 

Justify your answer to #14. Answer:

 

 

 

 

 

A survey of college students was conducted during final exam week to assess the number of cups of coffee consumed each day. The mean number of cups was 2 with a standard deviation of 0.5 cups. The distribution was normal. Make sure you do NOT round when answering any of these questions and that you use your Jackson e-book for exact values. When applicable, show ALL work for full points.

 

15. If Nancy had 3 cups of coffee, what is her z score?

 

 

Answer:
16. Which of the following curves (A, B, or C) best illustrate where her data would fall? Answer:
17. What proportion of students drank more cups of coffee than Nancy?

 

Answer:
18. If you wanted to calculate how many cups of coffee an individual at the 33th percentile drank, which of the following curves (A, B, or C) best indicates where this would fall? Answer:
19. What z score most closely represents an individual at the 33th percentile? (Remember: if it is to the left of the middle, it will be negative; if it is to the right of the middle, it is positive.)

 

Answer:
20. How many cups of coffee would an individual at the 33th percentile rank drink? (do NOT round your final answer)

 

Answer:
21. Determine the proportion of scores that fall between the positive z-scores of 0.75 and 1.25. Answer:

 

 

Answer the following question related to the use of SPSS.

 

22. Which view are you using when you enter numbers for your raw data – the Data View, Variable View, or Output Window? Answer:

 

 

 

  Part II: SPSS Application

These questions require the use of SPSS. Remember you must submit all of your work within this word document. You will need to take a screen shot of your data view if necessary, or copy and paste your output into the spaces below.

 

 
  The following dataset contains scores for depression, a subscale on the DASS-21 from 24 individuals. This variable is considered scale and is discrete. Enter the following data into SPSS to answer the following questions. Make sure you name the variable “Depression”.

 

11 13 15 17 18 22 23 15
17 18 18 17 13 11 15 18
15 16 18 12 13 15 14 17

 

 

 
  23. Insert the descriptive statistics table (NOT the frequency table) from your SPSS output.  
  Insert table here:

 

 

 
  24. Create a histogram of the data using SPSS and paste it below.

 

 
  Insert SPSS graph here:

 

 

 

 

 

 

 

 

 

  Part III: Cumulative

These questions can be related to anything covered thus far in the course.

 

 

 

 

 

As part of his dissertation, Joe wanted to know if math anxiety differs between psychology and business majors. He developed a new measure to assess math anxiety on a scale of 0 – 100, with a higher number indicating more anxiety (any value was possible – even decimals).

 

25. What is the independent variable? Answer:
26. What is the scale of measurement of the IV? Answer:
27. What is the dependent variable? Answer:
28. What is the scale of measurement of the DV? Answer:
29. If he wanted to give the same math anxiety test to the same sample later to see if results would remain similar, what type of reliability is this? Answer:
30. What type of validity would be examined by asking other experts if all domains of math anxiety were being adequately covered in his newly developed measure? Answer:

 

Submit Homework 4 by 11:59 p.m. (ET) on Sunday of Module/Week 4. Remember to name file appropriately.

 

  Done!  

 

 

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