Final

Question 1

Steps of procedure to determine if sample mean differs significantly from population mean.

Answer 1

Question 2

S^2 =

Answer 2

SS/df

Question 3

SM =

Answer 3

Question 4

t =

Answer 4

Question 5

T test > T critical

Answer 5

reject H0

Question 6

M

Answer 6

sample mean

Question 7

μ

Answer 7

population mean

Question 8

SM

Answer 8

estimated standard error

Question 9

A larger n would lead to a

Answer 9

larger df and a smaller tC

Question 10

A larger n would lead to

Answer 10

smaller s2 and a smaller sM, producing a larger tT

Question 11

A larger n would make rejecting H0

Answer 11

more likely

Question 12

A smaller SS would lead to a

Answer 12

smaller s2 and a smaller sM

Question 13

A smaller SS would lead to a smaller s2 and a smaller sM,

Answer 13

producing a larger tT

Question 14

A smaller SS would lead to a smaller s2 and a smaller sM, producing a larger tT. This would also make rejecting H0

Answer 14

more likely

Question 15

A larger difference between M and µ - the effect size – would also

Answer 15

increase tT

Question 16

A larger difference between M and µ - the effect size – would also increase tT, making rejection

Answer 16

of H0 more likely

Question 17

The increase in alpha level, will reduce

Answer 17

tc

Question 18

An appropriate procedure to determine if population means (represented here by sample means) are statistically significant from one another.

Answer 18

Question 19

SS =

Answer 19

Question 20

tT

Answer 20

Question 21

Sp

Answer 21

Question 22

Answer 22

Question 23

How to Construct a 95% confidence interval

Answer 23

Question 24

An appropriate procedure to determine if an experiment has had an effect

Answer 24

Question 25

t statistic

Answer 25

Question 26

SMD

Answer 26

Question 27

COHEN’S D formula

Answer 27

Question 28

D - 0,2

Answer 28

small effect size

Question 29

D - 0,5

Answer 29

medium effect size

Question 30

D - 0,8

Answer 30

large effect size

Question 31

Suppose you have the following data from an experiment involving three-levels of a treatment. Use an appropriate procedure to determine if all population means (represented here by sample means) are not significantly different from one another.

Answer 31

Question 32

G=

Answer 32

Question 33

Answer 33

Question 34

Answer 34

Question 35

Answer 35

Question 36

Answer 36

Question 37

Answer 37

Question 38

Answer 38

Question 39

b) Calculate and interpret “variance explained”, also known as η2 for this exercise.

Answer 39

Question 40

Answer 40

Question 41

Answer 41

Question 42

Answer 42

Question 43

Answer 43

Question 44

Answer 44

Question 45

Answer 45

Question 46

M=

Answer 46

M1 -M2

Question 47

Answer 47

Question 47

Answer 47

Question 48

Answer 48

Question 49

SOME GENERAL USES OF PEARSON’S CORRELATION

Answer 49

a. PREDICTION: CORRELATION OF EXAM GRADES AND SUCCESS IN COLLEGE b. ESTABLISHING VALIDITY: A VALID MEASURE MUST CORRELATE TO OTHER MEASURES c. ESTABLISH RELIABILITY: A RELIABLE MEASURE CORRELATES OVER SEVERAL TIMES d. THEORY VERIFICATION

Question 50

IF THE CORRELATION COEFFICIENT IS 0.5,

Answer 50

THEN COEFFICIENT OF DETERMINATION IS 0.52 = 0.25

Question 51

PEARSON’S CORRELATION IS USUALLY USED WITH INTERVAL OR RATIO-LEVEL MEASUREMENTS AND IT PERTAINS TO A

Answer 51

LINEAR RELATIONSHIP

Question 52

The equation for predicted values of Y

Answer 52

Question 53

Interpret the meaning of its coefficients (α and β). Why is there no error tem in the equation?

Answer 53

Question 54

Answer 54

Question 55

Answer 55

Question 56

M=

Answer 56

M1-M2

Question 57

If the value of zero falls between Lower and Upper C.I., than It is likely, that hypothesis of H is likely to be

Answer 57

failed to reject

Question 58

If the value of zero does not fall between Lower and Upper C.I.

Question 59

Answer 59

Question 60

Answer 60

Question 61

How to determine if sample mean differs significantly from the population mean.

Answer 61

Question 62

Determine if population means (represented here by sample means) are statistically significant from one another.

Answer 62

Question 63

Construct a 95% confidence interval

Answer 63

Question 64

An appropriate procedure to determine if treatment has had an effect.

Answer 64

Question 65

Calculate Cohen’s D

Answer 65

Question 66

Use an appropriate procedure to determine if all population means (represented here by sample means) are not significantly different from one another.

Answer 66

Question 67

Calculate and interpret “variance explained”, also known as η2 for this exercise

Answer 67

Question 68

Calculate an appropriate measure of association between variables

Answer 68

Question 69

Write down a (regression) equation for predicted values of Y and interpret the meaning of its coefficients (α and β). Why is there no error tem in the equation?

Answer 69

Question 70

Predicted value of Y equals alpha, when

Answer 70

X=0

Question 71

For one unit change in X and Ŷ changes by

Answer 71

Beta units

Question 72

We need no error term, because this equation represents the relationship

Answer 72

Between X and the predicted values of Y