Exam 2 Flashcards

1
Q

What is a measure of linear association between two continuous variables.

A

Bivariate correlation

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2
Q

What determines the intensity of the correlation?

A

Strength

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3
Q

What are the directions of a correlation?

A
  • Positive
  • Negative
  • No correlation
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3
Q

What direction does a positive correlation do?

A

Both up

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4
Q

What direction does a negative correlation go?

A

Both go down

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5
Q

_____ is a random association.

A

No correlation

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6
Q

______ is a statistical method to predict the criterion, outcome, or dependent variable, from a single predictor or independent variable.

A

Linear Regression

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7
Q

What are the four types of analysis?

A
  • Chi square
  • Independent t-test
  • Dependent t-test
  • ANOVA
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8
Q

Which test is needed?

“Is there a difference between genders and the type of exercise”

A

Chi square

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9
Q

Which test is needed?

“Is there a difference in pre season and postseason run time for CSUSB Womens track team”

A

Dependent t-test

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10
Q

Which test is needed?

“Does burnout level differ among competition level (recreational, collegiate, professional)”.

A

ANOVA

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11
Q

Which test is needed?

“Differences in girls and boys BMI”

A

Independent t-test

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12
Q

In correlations, what is the p value labeled as?

A

Significance

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13
Q

If you are given:
IV: 1 nominal (pre & post)
DV: 1 continuous

What test are you using?

A

Dependent T-test

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14
Q

If you are given:
IV: 1 nominal
DV: 1 nominal

What test are you running?

A

Chi Square

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15
Q

If you are given:
IV: 1 nominal (2 groups)
DV: 1 continuous

A

Independent T-test

16
Q

If you are given:
IV: 1 nominal (> 2 groups)
DV: 1 continuous

A

ANOVA

17
Q

If you are running a independent t-test about differences in boys and girls BMI, and you receive a significance value of 0.00, what are you doing with that information?

A

Rejecting the null and stating that their is a difference in BMI and genders

18
Q

If you are running a dependent t-test about pre season and post season miles times for CSUSB Womens track, and you receive a significance value of 0.51, what are you doing with this info?

A

Accepting the null and concluding that there is no difference between pre & post season mile times.

19
Q

PRACTICE the correlation formula
Chapter 11 Slides

A

Ok.

20
Q

PRACTICE linear regression

A

Ok.