Exam 3 (ch 9-12)

Question 1

the assumed or claimed mean of the population

Answer 1

μo

Question 2

the estimate of an unknown population mean

Answer 2

μ1

Question 3

with Null Hypothesis Testing we are

Answer 3

comparing

Question 4

a proposition based on limited evidence

Answer 4

hypothesis

Question 5

a proposition of no difference

Answer 5

null hypothesis

Question 6

also called the hypothesis of equality

Answer 6

null hypothesis

Question 7

a statement of difference

Answer 7

alternate hypothesis

Question 8

only one variable is sampled

Answer 8

one sample design

Question 9

we are comparing our single sample against a known population parameter

Answer 9

one sample design

Question 10

the process that produces abilities that are accurate where the null hypothesis is true

Answer 10

null hypothesis significance test

Question 11

T/F in NHST we always assume the alternate hypothesis is true

Answer 11

false

Question 12

one tail vs two tail significance test: does bud light contain more than 4.2% abv

Answer 12

one tail

Question 13

is the abv of budlight different from the companies claim of 4.2%?

Answer 13

two tail

Question 14

AH will entail a direction to the difference (greater than or less than μo)

Answer 14

one tail hypothesis

Question 15

AH will not entail a direction, just a general difference

Answer 15

two tail hypothesis test

Question 16

T/F: NHST allows one to provide evidence for the alternate hypothesis but not for the null hypothesis

Answer 16

true

Question 17

the sampling distribution is most often a

Answer 17

t distribution

Question 18

probability is chosen as the criterion for rejecting the null hypothesis

Answer 18

significance level

Question 19

probability of a type 1 error

Answer 19

alpha

Question 20

difference (between means) so large that chance is not a plausible explanation for the difference

Answer 20

statistically significant

Question 21

the area on the distribution that is beyond the significance level; “reject the null here”

Answer 21

rejection zone

Question 22

the number from the sampling distribution that determines whether the null is neglected

Answer 22

critical value

Question 23

corresponds to the significance level

Answer 23

critical value

Question 24

rejection of a null hypothesis that is true

Answer 24

type 1 error

Question 25

failure to reject a null hypothesis that actually is false

Answer 25

type 2

Question 26

probability of a type 1 error

Answer 26

alpha

Question 27

probability of a type 2 error

Answer 27

beta

Question 28

having a large sample size increases or decreases power

Answer 28

increases

Question 29

statistical test of the hypothesis that a sample mean came from a population with a population mean

Answer 29

one sample t test

Question 30

t/f: one sample t test does not have access to parameter

Answer 30

true

Question 31

in one sample t test if the means are not equal it means

Answer 31

that there's different populations

Question 32

two sample design is usually

Answer 32

an experiment

Question 33

one value (or level) of the independent variable

Answer 33

treatment

Question 34

a group to which other groups are compared

Answer 34

a control group

Question 35

a group that receives treatment in an experiment and whose dependent variable scores are compared to a control group

Answer 35

experimental group

Question 36

the measure of how different two things are

Answer 36

effect size

Question 37

design in which scores from each group can be logically matched

Answer 37

paired-samples design

Question 38

most common paired design

Answer 38

repeated measures

Question 39

consists of two samples taken from the sample group

Answer 39

repeated measures

Question 40

measured at two different times

Answer 40

repeated measures

Question 41

design in which scores from each group can not be logically matched and research has no interest in matching the scores

Answer 41

independent samples design

Question 42

a measure of the degree of difference

Answer 42

effect size

Question 43

a measure of effect size for regression and correlation

Answer 43

R squared

Question 44

a measure of effect size for the difference between two means

Answer 44

Cohen's d

Question 45

the resulting number is expressed in standard deviation units

Answer 45

cohen's d

Question 46

allows you to test for differences between more than two groups

Answer 46

anova

Question 47

an inferential stat that compares means, compares variances and assessing interactions

Answer 47

analysis of variance

Question 48

a NHST that allows one to test for differences between 2 or more groups with one independent variable

Answer 48

one way NOVA

Question 49

using multiple t test would increase what?

Answer 49

type 1 error

Question 50

theoretical distribution of F values

Answer 50

F distribution

Question 51

what are F values?

Answer 51

they come from the F ratio

Question 52

a ratio of variance

Answer 52

f value

Question 53

the resulting number for the F ratio is the

Answer 53

F value or F stat

Question 54

deviation of data and the mean

Answer 54

variance

Question 55

the numerator for the F ratio consists of

Answer 55

the variance between two groups

Question 56

for the F ratio, the denominator consists of variance within each group called

Answer 56

error term

Question 57

when the F ratio is much larger than 1 (3 or greater) the null is

Answer 57

false

Question 58

when the F ratio is near 1 the null hypothesis is

Answer 58

true

Question 59

what should we reference to determine if the F ratio is large enough to determine if the null should be rejected

Answer 59

F distribution

Question 60

sum of the squared deviations from the mean

Answer 60

sum of squares

Question 61

the variance; a sum of squares divided by its degrees of freedom

Answer 61

mean square

Question 62

the mean of all scores

Answer 62

grand mean

Question 63

NHST of differences among means

Answer 63

F test

Question 64

all the numbers in the experiment

Answer 64

X total

Question 65

all the numbers from a treatment group

Answer 65

X treatment

Question 66

number of treatment in the experiment (same as number of groups)

Answer 66

K

Question 67

T/F: we dont know where the significance lies for F test (Where Group H is larger than group C)

Answer 67

true