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1
Q

What are the 3 main characteristics of a normal curve?

A

Symmetrical, mean, median, mode are all at center of distribution, curve is bell shaped

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2
Q

How to compute the z-score from a raw score?

A

Standard z-score formulaH

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3
Q

How to find raw score if given the z-score?

A

Work backwards from the normal formula

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4
Q

What does the process of standardization convert?

A

Individual scores from different distributions to standard scores which share a common distribution

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5
Q

If we wished to compare two scores that are measured on different scales, we would need to transform the scores into ______.

A

z-scores

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6
Q

A ________represents the number of standard deviations a particular score is from the mean.

A

z-score

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7
Q

In a standard normal curve, using the empirical rule, what percentile corresponds to a z-score of 2.0?

A

98

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8
Q

Making meaningful comparisons of variables, even when they were measured on different scales, requires converting those variables to a common scale. This process is called _______.

A

standardization

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9
Q

e

What does any standardized distribution have?

A

Similar scores in the measures of central tendency

e

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10
Q

In a standard normal curve, using the empirical rule, what percentile corresponds to a z-score of 1.0?

A

84

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11
Q

A result that is statistically significant does not mean that it is _________.

A

Important in the real world

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12
Q

Hypothesis testing alone may oversimplify results. Which of the following is a way to enhance our analysis?

A

statistical power analyses, effect size calculations

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13
Q

What does increasing the sample size do?

A

Increases the likelihood that we will reject the null hypothesis

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14
Q

What is empirical probability?

A

Based on actual experiments of occurrence of events, total # of events/trials

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15
Q

What is the independent rule in multiplicative theorem?

A

P(A) x P(B)

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16
Q

What is the dependent rule in multiplicative theorem?

A

P(A) x P(A | B)

17
Q

What is the multiplicative rule?

A

Probability of 2 events happening together?

18
Q

What is the additive theory used for?

A

Predicting likelihood of any one of several events

19
Q

What theorem assumes mutually exclusive?

A

Additive

20
Q

How does size effect standard error?

A

Smaller as sample size is bigger

21
Q

What do bigger samples give us?

A

Better estimates of the population

22
Q

What does central limit theorem state?

A

As distributions approach normal shape size of samples increased

23
Q

In a probability experiment, an event consists of ___________.

A

A subset of the sample space

24
Q

Probability can be defined as the likelihood of an event expressed in _______ terms.

A

numerical, mathematical, quantitative

25
Q

Fill in the following series of events: Probability experiment → trial → ________\

A

outcome

26
Q

what is inferential statistics?

A

drawing conclusions about pop based on sample it is taken from, large group from small

27
Q

If the sample size is very large and the decision is to reject null……..

A

True difference may be inconsequential from a practical importance POV

28
Q

what is descriptive statistics?

A

Summarizing data collected