Exam 3 Biostats

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27 Terms

1
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Identify the following types of data as univariate or bivariate

  1. A demographer records the ages of residents in a village. 

univariate

2
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Identify the following types of data as univariate or bivariate

  1. A researcher wants to examine the relationship between systolic blood pressure and age. 

bivariate

3
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Identify the following types of data as univariate or bivariate

  1. An economic study wants to look at total money spent on advertising and total revenue.

bivariate

4
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Positive Correlation - ______ relationship between two variables; as one variable increases, the other variable also increases 

direct

5
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Negative Correlation - ______ (converse) relationship between two variables; as one variable increases, the other variable decreases

indirect

6
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Pearson coefficient of -1 (r=-1) means…

negative correlation

7
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Pearson coefficient of positive 1 (r=1) means….

positive correlation

8
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Pearson coefficient of 0 (r=0) means….

no relationship

9
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Blanched formula for finding r

10
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raw score formula for calculating r

11
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The thinner (skinnier) the ellipse, the _____ the correlation.

higher

12
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what is a small effect size of r

r= 0.10 - 0.29

13
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what is a medium effect size of r

r= 0.30 - 0.49

14
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what is a large effect size of r

r= 0.50 and higher

15
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what is the coefficient of determination (r²)

statistic that tells you the proportion of variance (variability) that two variables in a bivariate distribution have in common

16
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what does a coefficient of determination of 0 (r² = 0) mean

unable to predict dependent variable

17
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what does a coefficient of determination of 0 to 1 (r² = 0 -1) mean

partially predicts DV

18
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what does a coefficient of determination of 1 (r² = 1) mean

perfectly predicts DV

19
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what does the correlation coefficient (r) tell you

reliability

  • how consistently devices measure what they are intended to measure

20
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what does the correlation coefficient (r) NOT tell you

cannot tell you cause and effect

21
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r can only be used in ____ relationships

linear

22
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what is linear regression used for

uses linear relationship btwn 2 variables to make predictions

23
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What method do you use to find line of best fit

least squares method (regression equation)

24
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equation for least squares method

25
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for positive correlations, b is _____

for negative correlations, b is ____

positive= b is positive

negative = b is negative

26
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how to calculate regression coefficient b (slope)

27
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how to calculate coefficient a (intercept)