exam 2 (ch 6-8) Flashcards

(60 cards)

1
Q

two variables to have a distribution

A

bivariate data

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2
Q

when scores on 2 variables are paired

A

bivariate data

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3
Q

a quantitative relationship between two variables

A

correlation

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4
Q

correlation does or does not mean causation?

A

not

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5
Q

what kind of correlation is this: drunkness and motor skills?

A

negative correlation

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6
Q

what kind of correlation is this: coffee intake and energy levels?

A

positive correlation

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7
Q

what kind of correlation is this: hours on videos and length of toes

A

no correlation

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8
Q

two fundamental techniques when it comes to stats

A

correlation and regression

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9
Q

a stat that represents the strength and direction of a relationship between two variables

A

correlation coefficient

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10
Q

correlation coefficient: the value of zero=

A

no relationship

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11
Q

correlation coefiencent: value near -1 or 1 indicates

A

strong relationship

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12
Q

correlation coefficient: values near zero but not zero

A

weak relationship

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13
Q

use to illustrate a correlation

A

scatterplot

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14
Q

the population of variance that two variable share

A

coefficient of determination

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15
Q

coefficient of determination is also known as

A

shared variance or common variance

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16
Q

a stat technique that allows you to make predictions

A

linear regression

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17
Q

correlation is used to establish predictions or relationships?

A

relationship

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18
Q

linear regression operates on what?

A

equation of a line (y=mx+b)

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19
Q

distributions can be broadly categorized as what two things?

A

theoretical or empirical

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20
Q

collecting data and plotting them on a frequency histogram

A

empirical distribution

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21
Q

the distribution of scores from actual data

A

empirical distribution

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22
Q

the distribution of scores one would expect to find

A

theoretical distribution

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23
Q

hypothesized via math logic/ probability

A

theoretical distribution

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24
Q

three types of theoretical distribution

A

normal, binomial, and rectangular distribution

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25
a measure of the likelihood that an event will occur
probability
26
probability is at the heart of
theoretical distribution
27
distribution in which all scores have the same frequency
rectangular distribution
28
equal probability; all scores have the same probability of occurring
rectangular distribution
29
distribution of the frequency of events that can have only two possible outcomes
binomial distribution
30
bell-shaped theoretical distribution that predicts the frequency of occurrence of chance or random events
normal distribution
31
standard deviation units are used to express measurements for what type of scores
z scores
32
each trial is asymptotic which means
it never touches x axis; it goes on indefinitely
33
A point that separates concave upward or concaves downward
inflection point
34
a subset of a specified group
samples
35
we use samples because
we do not have access to the population usually
36
characteristics of a sample
stats
37
entirely of a specified group
population
38
characteristics of a population
parameter
39
a subset of a population chosen so that each member (item/data point) has an equal probability of being selected
random sample
40
best method of sampling
random sample
41
a subset of the population chosen such that not all members (items.data points) have an equal chance of being selected
bias sample
42
the degree to which your sample is reflective of the population you're interested in
representativeness
43
representativeness can be achieved one of the two ways
via sampling technique and via large sample size
44
based on all possible random samples drawn from the same population (using theory of probability)
same distribution
45
the mean of sampling distribution
expected value
46
standard deviation of a sampling distribution
standard error
47
t/f: every sample of a sampling distribution of the mean is carefully selected from the same population size
false, it is random
48
t/f: sample size is the same for all samples
true
49
t/f: the number of samples is very small, less than 20
false
50
t/f: the mean (x bar) is calculated for every sample
true
51
the sample means (all the x bar) are arranged into what?
a frequency distribution
52
as the sample size increases, the sample distribution looks more like the theoretical normal curve
central limit theorem
53
the expected value (x bar of sampling distributions) is equal to
standard error
54
t/f: the standard deviation of the sampling distribution is not equal to the standard deviation of the population
true
55
if we dont have access to the parameters what can we use?
t distribution table
56
any continuous probability distribution that arises when estimating the mean of a normally distributed population in situations where the sample size is small and/or the population standard deviation is unknown
t distribution
57
determines the distribution that is most appropriate for your sample size
degrees of freedom
58
you need three things to read a t -table
1. a degrees of freedom 2. determine if it's 1 or 2 tail 3. determine the alpha/confidence level
59
the probability you are willing to be correct/incorrect about something
alpha level/confidence
60
range of scores that are expected to contain a parameter (i.e. population mean)
confidence intervals