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Question 1.1. The standard error of the mean is actually the standard deviation of all of the means that make up the distribution of sample means. (Points : 1)




Question 2.2. Each different t-distribution is defined by which of the following?

@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers (Points : 1)

The degree of normality in the data.

The degrees of freedom for the problem.

The amount of variability in the data.

The amount of difference between M and μM.


Question 3.3. If a certifying agency raises the requirements for real estate agents, what sort of decision error is the agency protecting against? (Points : 1)

Type I

Type II

Type III

Type IV


Question 4.4. Large differences in the numerator of a statistical test for differences for means are the only critical factor in determining statistical significance. (Points : 1)




Question 5.5. Which of the following is a provision of the central limit theorem? (Points : 1)

A skewed distribution will remain skewed however it is plotted.

There are limits to the range of scores that can be fitted to a distribution.

A distribution based on sample means will be normal.

There will always be theoretical differences between distributions.


Question 6.6. The one-sample t-test differs from the z-test in which way?

@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers (Points : 1)

There are no parameter values involved in a t-test.

The t-test is more sensitive to minor differences between sample and population.

With the t-test one can be confident of the normality of the data.

The t-test requires no <known> parameter standard error of the mean.


Question 7.7. The standard error of the mean can be calculated by dividing μ by the square root of the number of values in the distribution. (Points : 1)




Question 8.8. What is the probability of type II error when the null hypothesis is rejected?

@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers

  (Points : 1)







Question 9.9. The z- test requires an estimate of the population standard deviation. (Points : 1)




Question 10.10. The desired sample size depends only the size of the population to be tested. (Points : 1)



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