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Statistical Data Analysis > Final > Flashcards

Final Flashcards

1
Q

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

A
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2
Q

S^2 =

A

SS/df

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3
Q

SM =

A
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4
Q

t =

A
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5
Q

T test > T critical

A

reject H0

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6
Q

M

A

sample mean

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7
Q

μ

A

population mean

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8
Q

SM

A

estimated standard error

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9
Q

A larger n would lead to a

A

larger df and a smaller tC

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10
Q

A larger n would lead to

A

smaller s2 and a smaller sM, producing a larger tT

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11
Q

A larger n would make rejecting H0

A

more likely

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12
Q

A smaller SS would lead to a

A

smaller s2 and a smaller sM

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13
Q

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

A

producing a larger tT

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14
Q

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

A

more likely

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15
Q

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

A

increase tT

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16
Q

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

A

of H0 more likely

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17
Q

The increase in alpha level, will reduce

A

tc

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18
Q

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

A
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19
Q

SS =

A
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20
Q

tT

A
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21
Q

Sp

A
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22
Q
A
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23
Q

How to Construct a 95% confidence interval

A
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24
Q

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

A
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25
Q

t statistic

A
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26
Q

SMD

A
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27
Q

COHEN’S D formula

A
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28
Q

D - 0,2

A

small effect size

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29
Q

D - 0,5

A

medium effect size

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30
Q

D - 0,8

A

large effect size

31
Q

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.

A
32
Q

G=

A
33
Q
A
34
Q
A
35
Q
A
36
Q
A
37
Q
A
38
Q
A
39
Q

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

A
40
Q
A
41
Q
A
42
Q
A
43
Q
A
44
Q
A
45
Q
A
46
Q

M=

A

M1 -M2

47
Q
A
47
Q
A
48
Q
A
49
Q

SOME GENERAL USES OF PEARSON’S CORRELATION

A

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

50
Q

IF THE CORRELATION COEFFICIENT IS 0.5,

A

THEN COEFFICIENT OF DETERMINATION IS 0.52 = 0.25

51
Q

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

A

LINEAR RELATIONSHIP

52
Q

The equation for predicted values of Y

A
53
Q

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

A
54
Q
A
55
Q
A
56
Q

M=

A

M1-M2

57
Q

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

A

failed to reject

58
Q

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

A
59
Q
A
60
Q
A
61
Q

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

A
62
Q

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

A
63
Q

Construct a 95% confidence interval

A
64
Q

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

A
65
Q

Calculate Cohen’s D

A
66
Q

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

A
67
Q

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

A
68
Q

Calculate an appropriate measure of association between variables

A
69
Q

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?

A
70
Q

Predicted value of Y equals alpha, when

A

X=0

71
Q

For one unit change in X and Ŷ changes by

A

Beta units

72
Q

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

A

Between X and the predicted values of Y

Statistical Data Analysis (3 decks)

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