Practice Exercise: Confidence Intervals
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Question 1 of 10
A confidence interval is...
a range of values likely to include the population parameters
the values that define the range of values likely to include the population parameters
the probability value associated with the range of values likely to include the population parameters
none of the above
Question 2 of 10
The confidence limits are...
Question 3 of 10
The confidence level is...
Question 4 of 10
Which of the following is an example of a confidence interval?
13.43 to 31.47
13.43 and 31.47
13.43%
13.43
Question 5 of 10
Which of the following is an example of confidence limits?
Question 6 of 10
Which of the following is an example of a confidence level?
Question 7 of 10
A sample is...
any total group of people, things, or events that are the target of interest in a research study
a subset of a group of people, things, or events used to make inferences about the total group
a subset of people from a larger population of people
the total number of people of any group who are the target of interest in a research study
Question 8 of 10
The reason we use samples for conducting research instead of populations is...
It would take too much time to reach the entire population
It would be too costly to reach the entire population
It is impossible to access every member of the population
All of the above
Question 9 of 10
According to the central limit theorem, the sampling distribution of sample means forms a normal distribution when...
the sample size of your sample distributions is 30 or greater
the number of samples in your sampling distribution is 30
there are 30 sample means from a population
the sample size is 30 and there are 30 sample means
Question 10 of 10
According to the central limit theorem...
the standard deviation is equal to the population standard deviation
the standard deviation divided by sqrt(N) equals the standard error of the mean
the sampling distribution of the standard deviations equals the population standard deviation
the standard deviation equals the standard error of the mean