Lecture Notes

Chapter 4 Combination Statistics
(Modified: 2003-07-16)


The goal of this chapter is create a Descriptive Statistics Report. To do so, you will pull together everything you have already learned along with two new things covered in this chapter. Those new things are the z-score and the effect size index.

  • (note the similarity to the deviation, and note you are dividing the deviation by the standard deviation)
  • The following table is similar to the one on p. 69.

Student

Raw Score T1

Calculate

z score T1

Calculate

Raw Score T2

z score T2

Kris

76

76-54/10

2.20

76-86/6

76

-.1.67

Robin

54

54-54/10

.00

86-86/6

86

.00

Marty

58

58-54/10

.40

72-86/6

72

-.67

Terry

58

58-54/10

.40

90-86/6

90

.67

Mean T1 = 54

Mean T2 = 86

S = 10

S = 6

Another familiar example...

Raw Score

Calculation

z-score

40

40-30.12/7.22

1.369

38

38-30.12/7.22

1.092

37

37-30.12/7.22

.953

34

34-30.12/7.22

.538

34

34-30.12/7.22

.538

33

33-30.12/7.22

.399

33

33-30.12/7.22

.399

33

33-30.12/7.22

.399

33

33-30.12/7.22

.399

29

29-30.12/7.22

-.155

29

29-30.12/7.22

-.155

29

29-30.12/7.22

-.155

28

28-30.12/7.22

-.293

27

27-30.12/7.22

-.432

26

26-30.12/7.22

-.570

19

19-30.12/7.22

-1.540

10

10-30.12/7.22

-2.787

Mean = 30.12

Mean = 0

SD = 7.22

SD = 1.00

Boxplot of Scores Above

 

 


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