316 Exam 3 Real Flashcards

1
Q

What type of bivariate is contingency table?

A

Nominal or ordinal

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2
Q

What type of bivariate is correlation coefficient?

A

Interval ratio

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3
Q

Depends on absolute value

A

Correlation coefficient

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4
Q

Can be portrayed as slope

A

Correlation coefficient

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5
Q

Chi squared is

A

Nominal

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6
Q

1 SD is what percent?

A

68%

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7
Q

2 SD is what percent?

A

95%

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8
Q

3 SD is what percent?

A

99%

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9
Q

Calculates the probability that the correlation between 2 variables is not zero.

A

Pearson’s r as an inferential statistic

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10
Q

T tests compare

A

2 means

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11
Q

T test for two groups

A

Independent T test

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12
Q

T test for before and after

A

Dependent t test

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13
Q

To compare more than 2 means use

A

ANOVA

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14
Q

Bivariate descriptive statistic (2)

A

Contingency table/crosstabs

Correlation Coefficient/Pearson’s R

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15
Q

A single descriptive statistic that estimates the population value

A

Point estimation

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16
Q

A range of values within which a population value probably lies

A

Interval estimation

17
Q

The probability that a population value is within a certain range

A

Confidence interval

18
Q

Type 1 error is when you

A

Falsely reject the null

19
Q

By convention, power (beta) should be

20
Q

Larger sample =

A

Greater power

21
Q

Effect size is denoted as Cohen’s

22
Q

Indexes used to assess risk

A

OR

Absolute risk

23
Q

The ratio of people with an adverse rxn to those without

A

Odds Ratio (OR)

24
Q

Odds is not the same as

A

Probability

25
Q

For odds something vs odds something …

26
Q

OR greater than 1

A

Increased risk group one compared to group two

27
Q

OR = 1

A

No difference between two groups

28
Q

Analyzes relationships between a nominal dependent variable and one or more independent variables

A

Logistic Regression

29
Q

Logistic regression yields a

A

Log odds ratio

30
Q

When you hear Linear Regression, think

A

Line of Best Fit

31
Q

Logistic Regression vs Linear Regression

A

Nominal/Categorical variables vs I/R variables