273 Exam 3 pt. 1 [12, 14] - Z scores, probability, chi

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Z scores, probabilities, chi square goodness of fit

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14 Terms

1
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probability

quantifies uncertainty, providing a measure between 0 (impossible event) and 1 (certain event)

2
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normal

in a _______ distribution, mean = median = mode

3
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Z scores

__________ transform data into a common scale: the standard normal distribution (mean = 0, SD = 1)

4
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(reference value - mean)/SD

what is the formula for a z score?

5
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the reference value is 1 standard deviation from the mean

a z-score of 1 means…

6
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chi square goodness of fit

a _______ _______ test allows you to test whether a distribution of FREQUENCIES is different from what is EXPECTED

7
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binomial

a ______ test is similar to a chi square goodness of fit test, but is only used if there are TWO levels of a category

8
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degrees of freedom

_____ ___ _______ describes your “options” which are constrained based on what choice you have made/what you have left

9
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sample size

what determines DOF?

10
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critical

DOF determines the ______ value

11
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difference, large

P- value: the probability of observing a _________, at least as ______ given that the null hypothesis is true.

12
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fail to reject

if p>0.05, ____ the null hypothesis

13
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reject

if p < 0.05, ____ the null hypothesis

14
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chi square

example: I polled 1107 UNC undergraduate students. I want to know whether the distribution of their PA is different from the rest of the US — what test would you use?