Stats T3 Flashcards

1
Q

Do scores for one variable correlate with scores for the other variable?

A

Statement about association

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2
Q

How strong is the correlation or association between two variables?

A

Statement about association

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3
Q

Do I trust that there is a “genuine” association (relationship)?

A

Statement about relationship between two variables

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4
Q

null hypothesis

A

states the contrary of the experimental or alternative hypothesis

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5
Q

A linear correlation describes

A

Two variables that are either proportionate or anti proportionate

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6
Q

Correlation coefficient

A

A number also represented by “r” describes positive (r=1), negative (r=-1) or no correlation (0=r)

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7
Q

Operational Definition

A

procedure for indirectly measuring and defining a variable that cannot
be observed or measured directly. An operational definition specifies a measurement procedure (a set of operations) for measuring an external, observable behaviour and uses the resulting measurements as a
definition and a measurement of the hypothetical construct.

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8
Q

operational definition

A

defining a variable in terms of the set of steps or procedures that the researcher goes through in order to manipulate or measure the variable

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9
Q

Sampling variability

A

differences in or across samples due to random things happening

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10
Q

What are two ways to visually represent to measurement data variables?

A
  1. scatter plots 2. contingency tables/crosstabulation
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11
Q

How should the strength of a correlation be interpreted?

A
  • Perfect:(-) 1/1 * Strong:(-) 09-07 * Moderate:(-).6-.4 * Weak: (-). 3-.1 * None:0
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12
Q

Which visual representation should you choose if you want to show that variables vary simuntaneously?

A

scatter-plots

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13
Q

The p-value can be defined as

A

the probability of obtaining a significant result when the null hypothesis is true

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