If the sample size is 500 and the standard error is 0.0219 for a one sample Z interval for population proportions. Which could be the point estimate, rounded to the nearest tenth? (SELECT ALL)
AP Stats Inference

Quiz
•
Mathematics
•
12th Grade
•
Hard
Anthony Clark
FREE Resource
15 questions
Show all answers
1.
MULTIPLE SELECT QUESTION
1 min • 1 pt
0.4
0.5
0.6
0.7
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Two Sample Z Interval for Difference in Population Proportions (-0.03 , 0.07) Is the difference between the proportions statistically significant?
NO
Zero is not on the interval
YES
Zero is not on the interval
NO
Zero is on the interval
YES
Zero is on the interval
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Two Sample Z Interval for Difference in Population Proportions ( 0.03 , 0.07 ) Is the difference between the proportions statistically significant?
NO
Zero is not on the interval
YES
Zero is not on the interval
NO
Zero is on the interval
YES
Zero is on the interval
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Two Sample Z Interval for Difference in Population Proportions Is the difference between the proportions statistically significant?
NO
Zero is not on the interval
YES
Zero is not on the interval
NO
Zero is on the interval
YES
Zero is on the interval
5.
FILL IN THE BLANK QUESTION
1 min • 1 pt
To the nearest tenth, what is the MEAN of the sampling distribution that is behind our calulations for a One Sample Z Interval for Population Proportion, WHEN p-hat is 0.4 and n = 200 ?
6.
FILL IN THE BLANK QUESTION
1 min • 1 pt
To the nearest hundreth, what is the STANDARD DEVIATION of the sampling distribution that is behind our calulations for a One Sample Z Interval for Population Proportion, WHEN p-hat is 0.4 and n = 200 ?
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Why do we check to see if n x p and n x ( 1-p ) are both greater than or equal to 10? Note: for confidence intervals it is actually n x p-hat and n x ( 1 - p-hat )
To make certain that the selection for the sample are independent
To check if it is reasonable to assume population is approximately normal.
To check if the sample is unimodal and symmetric.
To check if it is reasonable to assume the sampling distribution of sample proportions is approximately normal.
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