Exam 1 Part 2 Flashcards

1
Q

Has all the characteristics of interval scale, and ratios of values are meaningful (i.e., there is an absolute zero)

A

Ratio

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2
Q

The variable of interest is called the ________ (or response, or outcome) variable, and the other is called _______ (or explanatory, or predictor).

A

Dependent, independent

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3
Q

Summarize a sample of data using graphs and numerical measures such as means or percentages

A

Descriptive statistics

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4
Q

We use the sample to reflect back on the population the sample represents

A

Inferential statistics

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5
Q

Data are collected separately for both groups.

A

Independent samples

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6
Q

Individuals are measured twice (e.g. before and after treatment), or individuals are matched in pairs (e.g. identical twins

A

Dependent samples

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7
Q

Proportion of times an event will occur in the long run. Gives us the chance, or likelihood of that event occurring.

A

Probability

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8
Q

What type of distribution is associated with degrees of freedom?

A

T-distribution

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9
Q

The more df, the closer to _____

A

Normal

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10
Q

The less df, the thicker the ____

A

Tails

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11
Q

What are the 2 measurements of center?

A

Mean, median

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12
Q

What are the 3 measurements of variation?

A

Range, standard deviation, Interquartile range (Q3 - Q1)

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13
Q

What 3 criteria do we judge normality on (by lookin at a histogram)?

A

Modality (unimodal, bimodal), symmetry (symmetric, skewed), bell-shape

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14
Q

What are the possible methods of analysis if both variables are categorical?

A

Compare percentages, contingency table, chi-square

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15
Q

What are the possible methods of analysis if the variables are categorical and numeric?

A

Compare means, box plots, t-tests

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16
Q

What are the possible methods of analysis if the variables are both numeric?

A

Scatterplot, coefficient correlation, regression analysis

17
Q

It is helpful to always use the independent variable for the ____, and the dependent variable for the ______

A

Rows, columns

18
Q

What 4 factors do we look at in a scatterplot?

A

Overall pattern (linear vs curved), strength (strong or weak), outliers, direction

19
Q

T/F: Correlation is sensitive to outliers

A

True

20
Q

T/F: IQR is sensitive to outliers

A

False; not