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Introduction to Using Statistical Analyses

Measures of Central Tendency

(done . . .for now) Measures of Variability Writing Using the Standard Normal Curve

A Reminder of the Way We Note Things:Our Shorthand

A Reminder of the Way We Note Things:Our Shorthand

A Reminder of the Way We Note Things:Our Shorthand

A Reminder of the Way We Note Things:Our Shorthand

A Reminder of the Way We Note Things:Our Shorthand

Population and Sample Means

Population and Sample Means

XX

ni

Introduction to Using Statistical Analyses

Measures of Central Tendency

(done . . .for now)

Measures of Variability Writing Using the Standard Normal Curve

Assessing Dispersion by Looking at Spread

2

5

8

Data

Mean = 5

Assessing Dispersion by Looking at Spread

2

5

8

Data

Mean = 5

How far from the mean are the data?

Starting to Assess the Variance

2

5

8

- 5

- 5

- 5

= - 3

= 0

= 3

= - 3

= 0

= 3

A Formula to Assess the Variance

2

5

8

- 5

- 5

- 5

9

0

9

= - 3

= 0

= 3

A Formula to Assess the Variance

2

5

8

- 5

- 5

- 5

9

0

9= 18

= - 3

= 0

= 3

A Formula to Assess the Variance

2

5

8

- 5

- 5

- 5

9

0

9= 18

2 189

2 189

= - 3

= 0

= 3

A Formula to Assess the Variance

2

5

8

- 5

- 5

- 5

9

0

9= 18

2 189

2 189

THE VARIANCE

Sample and Population Standard Deviations

s

X X

n

i

2

1

SAMPLE AND POPULATION TERMS

Sample Population

SAMPLE AND POPULATION TERMS

Sample Population

Mean

SAMPLE AND POPULATION TERMS

Sample Population

Mean

Variance

SAMPLE AND POPULATION TERMS

Sample Population

Mean

Variance

Standard Deviation

Introduction to Using Statistical Analyses

Measures of Central Tendency

(done . . .for now) Measures of Variability

Writing Using the Standard Normal Curve

Introduction to Using Statistical Analyses

Measures of Central Tendency(done . . .for now)

Measures of Variability WritingUsing the Standard Normal

Curve

Standard Normal Curve

Standard Normal Curve

= 0

= 1

- 3 + 3

z Scores when Data Do Not Already Have a Mean of 0 and a Standard Deviation of 1

zX

z Scores when Data Do Not Already Have a Mean of 0 and a Standard Deviation of 1

zX

zX X

s

or

Areas under the Standard Normal Curve

0

z = -1.67 z = 1

Areas under the Standard Normal Curve

0

z = -1.75 z = 1.75

Areas under the Standard Normal Curve

0

z = 1

Correlations

Correlation Example

1

2

3

4

5

3

4

7

5

6

Speaking Skill

X

Writing Skill

Y

Correlation Chart

Speaking Skill

Writing skill

0

1

2

3

4

5

6

7

0 1 2 3 4 5

**

**

*

Correlation Chart

Speaking Skill

Writing skill

0

1

2

3

4

5

6

7

0 1 2 3 4 5

**

**

*

Correlation Chart

Speaking Skill

Writing skill

0

1

2

3

4

5

6

7

0 1 2 3 4 5

**

**

*

Correlation Example Using z scores

1

2

3

4

5

3

4

7

5

6

Speaking Skill

X

Writing Skill

Y

- 1.27

- .63

0

.63

1.27

- 1.27

- .63

1.27

0

.63

Zx Zy

Correlation Example Using z scores

1

2

3

4

5

3

4

7

5

6

Speaking Skill

X

Writing Skill

Y

- 1.27

- .63

0

.63

1.27

- 1.27

- .63

1.27

0

.63

Zx Zy

1.61

.4

0

0

.8

Zx * Zy

Correlation Example Using z scores

1

2

3

4

5

3

4

7

5

6

Speaking Skill

X

Writing Skill

Y

- 1.27

- .63

0

.63

1.27

- 1.27

- .63

1.27

0

.63

Zx Zy

1.61

.4

0

0

.8

Zx * Zy

SUM = _ 2.81 __

n-1 = 4

Correlation Example Using z scores

1

2

3

4

5

3

4

7

5

6

Speaking Skill

X

Writing Skill

Y

- 1.27

- .63

0

.63

1.27

- 1.27

- .63

1.27

0

.63

Zx Zy

1.61

.4

0

0

.8

Zx * Zy

SUM = _ 2.81 __

n-1 = 4=.70

Correlation Example

1

2

3

4

5

3

4

7

5

6

Speaking Skill

X

Writing Skill

Y

- 2

- 1

0

1

2

- 2

- 1

2

0

1

X X Y Y

Correlation Example

1

2

3

4

5

3

4

7

5

6

Speaking Skill

X

Writing Skill

Y

- 2

- 1

0

1

2

- 2

- 1

2

0

1

X X Y Y X X Y Y* 4

1

0

0

2

Correlation Example

1

2

3

4

5

3

4

7

5

6

Speaking Skill

X

Writing Skill

Y

- 2

- 1

0

1

2

- 2

- 1

2

0

1

X X Y Y X X Y Y* 4

1

0

0

2 YYXX = 7

Correlation Example

1

2

3

4

5

3

4

7

5

6

Speaking Skill

X

Writing Skill

Y

- 2

- 1

0

1

2

- 2

- 1

2

0

1

X X Y Y X X Y Y* 4

1

0

0

2 YYXX = 7

n-1 = 4

rs sX Y

7

41 75.

*

Correlation Computation

rs sX Y

7

41 75.

*

Correlation Computation

rs sX Y

7

41 75.

*

Correlation Computation

rs sX Y

7

41 75.

*

r

r

1 75

1 58 1 581 75

2 570

.

. * .

.

..

Correlation Computation

rs sX Y

7

41 75.

*

r

r

1 75

1 58 1 581 75

2 570

.

. * .

.

..

Correlation Computation