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STT 200 Statistics Exam: Sampling Distributions, Confidence Intervals & More

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Description: Master STT 200 with this set of exam questions and verified answers. This study guide covers essential statistics topics, including sampling distributions, standard error, parameters vs. statistics, confidence intervals for means and proportions, and hypothesis testing. Perfect for students looking to review for a statistics final or midterm.

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STT 200 EXAM QUESTIONS AND
ANSWERS LATEST UPDATE 2026/2027

For a randomly selected sample of n = 36 mens heights, it is reported that the standard error of
the mean is .5 inches. Which is false? - Answer- In about 95% of a ll samples of n = 36 mens
heights, the sample mean will be within .5 inches of the population mean.


Which of the following statements best describes the relationship between a parameter
and a statistic. - Answer- A statistic is used to estimate a parameter.

-fixed # dont know
- stat random sample will change

Which one of the following statements is false? - Answer- The standard error measures
the variability of a population parameter.

For which of the following situations would the Rule for Sample Proportions not apply? -
Answer- A random sample of 100 is taken from a population in which the proportion with the
trait of interest is 0.98.
-smaller then 10

The mean of the sampling distribution for a sample proportion depends on the value of -
Answer- the true population but not the sample size

Suppose that the mean of the sampling distribution for the difference in two sample proportions
is 0. This tells us that - Answer- the two population proportions are equal to each other
- x1-x2 ~N(M1-M2, sqrt(mean1/n1 , mean2/n2)

For which of the following situations would the Rule for Sample Means not apply? -
Answer- A random sample of size 20 is drawn from a skewed population
-x>30

Which one of the following statements is false? - Answer- The sampling distribution of
any statistic becomes approximately normal for large sample sizes.




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