Question: What kind of errors are accounted for when using statistical inference? Group of answer choices a) Errors due to individuals providing incorrect information b) All
What kind of errors are accounted for when using statistical inference?
Group of answer choices
a) Errors due to individuals providing incorrect information
b) All of the answers are correct
c) The error from using a sample instead of a complete census
d)Errors due to nonresponse
A company would like to know whether females took more sick days last year than males. Using all of the employee records, the company found that females took an average of 1.2 more sick days last year than males. The 95% confidence interval for the difference is (0.3, 2.1). How would you interpret this interval?
Group of answer choices
a) Because zero is not in the interval, we can conclude that females took more days than males
b) We cannot reach a conclusion without knowing the sample size
c) Because zero is not in the interval, we can conclude that males took the same number of days as females
d) The interval is meaningless because the data are a census and the inferences are about the past
Which of the following must be true in order to make a decision using statistical inference?
Group of answer choices
a) The study must be reproduced, and the two estimates must be close to each other
b) The p-value from a hypothesis test must be below 0.05
c) The sample size must be above 30
d) The findings must be statistically significant, and the estimate large enough to be important
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