Hypothesis Testing Pg. 491 - 522 Flashcards

1
Q

_____________________ are statistical tests that follow certain assumptions about the sample and
population they are testing

A

Parametric tests

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

____________ and __________ are a numerical way of describing the degree of
spread within a distribution

A

Standard deviation & Variance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

_________________ is the degree to which a
distribution varies around the mean
- The smaller the value, the smaller the _______________-

A

Variance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

____________________ is the typical amount
that each score varies from the mean
- The square root of variance

A

Standard deviation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

_______________________ is an approximately normal distribution constructed
of means calculated from all possible samples of a given size from a given
population

A

Distribution of means

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

_______________________ is smaller than the standard deviation of a distribution of
scores

A

Standard Error

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

_____________________ is the idea that the world is chaotic and many phenomenon occur at random or by chance

A

Premise

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

____________________ is the specific value within a distribution that denotes how extreme the
data, and the sample test statistic, must be
to reject the null hypothesis

A

Critical Values

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

_____________________ are the areas of a distribution
beyond the critical value on either one or both
tails

A

Critical Regions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

A ________________ error is rejecting the null hypothesis when it is
true or declaring a difference despite there
being none

A

Type 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

A __________________ error is failing to reject the null hypothesis
when it is false or declaring no difference when there is
one

A

Type 2

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

__________________ is the portion of a given distribution at either
end of the extremes

A

Alpha (⍺)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

As _______ increases, the probability of a ___________ error
increases

A

⍺, Type 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

__________________ is the probability of correctly rejecting a false null hypothesis when a
particular alternative hypothesis is true

A

Power (1-β)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

_________________ is the probability of committing a Type II error

A

β (Beta)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

As ___ increases, power increases

A

n

17
Q

As variance or standard error decrease, ______________ increases

A

Power

18
Q

A ________________ is hypothesis testing using a z statistic to
compare two means (a sample and a
population) when population characteristics
are known

A

Z Test

19
Q

A ______________ compares the magnitude of a sample mean
to known population mean with unknown
variance

A

One-Sample t-test

20
Q

___________________ are an interval estimate, based on a sample
statistic, that theoretically includes the
population mean (μ) a certain percentage of
the time, if we were to sample from the
population repeatedly

A

Confidence intervals

21
Q

A ___________________ compares the magnitude of means between two samples when
population parameters are unknown

A

Two-Sample t-test

22
Q

A ___________________ Compares the magnitude of difference
between means from two separate matched
samples OR the change in performance on a measure
taken before and after a treatment or
manipulation when population parameters
are unknown

A

Dependent-Samples t-test

23
Q

____________________ is an objective and standardized measure of the magnitude of an
observed effect

A

Effect size

24
Q

_______________ alerts us to the percent of variance that can be explained by a given
variable

A

Effect size

25
Q

_________________ assesses the size of an effect based on the differences between
groups or levels

A

d-family

26
Q

____________________ represents a correlation between independent variables (measures of association)

A

r-family

27
Q

_____________________ measures the difference (or shift above or below the
population mean as stated by H0) between two
means, and expresses this difference in standard
deviation units

A

Cohen’s d

28
Q

___________________ compares the mean difference between
two independent groups

A

Independent-Samples t-test

29
Q

The ____________________ tests whether the data from each group is
significantly different

A

Levene’s Test

30
Q

___________________ allow us to reduce the influence of individual
differences between our participants (we are only looking at the
difference within the individual between conditions 1 and 2)

E.g., Do the same participants like chocolate more when they eat it with
someone else versus alone?

A

Paired-Samples t-tests

31
Q

__________________ determine our direction before
collecting our data, and then we should only look at that specific
direction

A

One tailed tests

32
Q

If ____________________________ have a significant t-statistic, then we can look
at the group means to determine the direction

A

Two tailed tests

33
Q

_________________ is the theory that using an ideal sample size can bolster your ability to detect differences, should any exist

A

Power theory

34
Q

_________________ is the probability of obtaining the observed difference, or one more
extreme, assuming the null hypothesis is true

A

p Value