Exam 1 Closed Book Flashcards

1
Q

A frequency distribution of several mean values is called

A

a sampling distribution

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2
Q

With inferential statistics we can use

A

𝑥̅ to estimate μ and sample statistics to estimate population parameters

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3
Q

A standard error

A

relates to how much uncertainty there is in an estimate of the population mean

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4
Q

Type II error is

A

accepting the H0 when it’s false

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5
Q

a frequency distribution of several mean values is

A

a sampling distribution

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6
Q

if a value is selected a priori, the value has been selected

A

based on already known, pre-determined info

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7
Q

In relation to variance, the standard deviation

A

returns the sample to its original units

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8
Q

An example of nominal scale data is

A

hair color

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9
Q

A measure of central tendency includes

A

the mean, mode, median

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10
Q

p-value is the probability

A

of obtaining sample statistic from a population in which null hypothesis is true.

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11
Q

Ordinal scales involve

A

ranks

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12
Q

In inferential statistics we use sample statistics to

A

estimate population parameters

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13
Q

An example of ordinal-scale data is

A

weight classes

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14
Q

An example of interval-scale data is

A

temperature

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15
Q

An example of ratio-scale data is

A

length or volume

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16
Q

population means are represented by

A

mu

17
Q

sample means are represented by

A

x bar

18
Q

A p-value is

A

the probability of obtaining your sample data and statistics from a population in which the null hypothesis is true

19
Q

The test that deals with two nominal-scale variables

A

contingency table

20
Q

Expected frequencies in contingency tables are

A

calculated ( a posteriori)

21
Q

What two tests must be done before continuing with a contingency table?

A

R and B rule and category size

22
Q

Measures of dispersion include

A

the range, sum of squares, variance, standard deviation and coefficient of variation

23
Q

The standard deviation of the sampling distribution is

A

the standard error

24
Q

According to central limit theorem

A

the means of samples from a normally distributed population will be normally distributed as well; and samples from any distribution will have means that approach normal distributions as the sample size increases.

25
Q

What do we use to estimate how much uncertainty there is in the sample estimate of the population mean

A

standard error

26
Q

Which test determines the probability that a sample of ratio-interval scale data was taken from a population with a pre-determined mean

A

a one-sample t-test

27
Q

The two assumptions for two-sample tests

A

RSNDP and homoscedastic

28
Q

Robust means

A

violations of assumptions do not affect results of test

29
Q

The test that deals with ranking data in order to convert it to ordinal-scale data is

A

Mann-Whitney U

30
Q

The test that compares the mean difference between two paired samples of ratio-interval scale data to zero is

A

a paired-sample t-test