1) "µ = 17" is an appropriate null hypothesis.
A.
True
B.
False

2) If the p-value is less than a in a two-tailed test, the null should be rejected.
A.
True
B.
False

3) A Type II error is committed when we reject a null hypothesis that is true.
A.
True
B.
False

4) We have created a 95% confidence interval for µ with the result [10, 15]. What conclusion will we make if we test H0: µ = 16 versus H1: µ ? 16 at a = 0.05?
A.
Accept the null.
B.
Reject the null and conclude the alternative.
C.
Fail to reject the null.
D.
We cannot tell what our decisions will be from the information.

5) You performed a right-tailed hypothesis test and your sample gave you a test statistic in the left tail. Which of the following is considered the appropriate next step in this test?
A.
Fail to reject the null.
B.
Change the level of significance of your test.
C.
Change the direction of the hypothesis.
D.
Change the sample and do the test again.

6) In classical hypothesis testing, the test statistic is to the critical value what the ________________.
A.
p-value is to alpha
B.
test statistic is to the p-value
C.
critical value is to alpha
D.
level of significance is to the test statistic

7) The pooled variance of the two samples is the average of the sample variances when n1 = n2.
A.
True
B.
False

8) Which of the following statements is false for an F-distribution?
A.
Variables that are F distributed range from 0 to 8.
B.
Degrees of freedom for the denominator are always smaller than degrees of freedom for the numerator.
C.
The exact shape of the distribution is determined by two numbers of degrees of freedom.
D.
Degrees of freedom for the numerator may be larger, smaller, or equal to the degrees of freedom for the denominator.

9) In a test of the equality of two means, the variable of interest is the difference between the values of the observations, rather than the observations.
A.
True
B.
False

Exhibit 10-11
An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below.
Under Age of 18 Over Age of 18
n1 = 500

The marketing manager of a large supermarket chain would like to use shelf space to predict the sales of pet food. For a random sample of 12 similar stores, she gathered the following information regarding the shelf space, in feet, devoted to pet food and the weekly sales in hundreds of dollars. Use these data to answer questi

If the mean and the standard deviation of a continuous random variable that is normally distributed are 20 and 5, respectively, find an interval that contains 68% of the distribution.
A. (18,24)
B. (15,25)
C. (12,25)
D. (10,30)
2. If the mean and the standard deviation of a continuous random variable that is normally d

1.Which of the following items is not included in a concept paper?
Answer: A. Introduction B. Findings C. Summation of literature D. Data collection strategies
2. A discussion of instrumentation can be found in concept papers prepared for:
Answer: A. quantitative research studies. B.quantitative and qualitative research st

Can I have a quick information of this ( file attached)
1. A frequency distribution can be shown as
? a statistic
? a histogram
? a scatter plot
? a stem and leaf plot
2. Simple statistics are
? for simpletons
? presented in stem and leaf plots
? things like correlations
? things like standard deviations

If you choose to solve these problems, please show the steps and formulas used.
1. A pharmaceutical company is testing the effectiveness of a new drug for lowering cholesterol. As part of this trial, they wish to determine whether there is a difference between the effectiveness for women and for men. At = .05, what is

Please see attached file and and answer the questions and include an explanation.
State insured uninsured unknown total
Nebraska 800,000 12,000 100 812,100
Arizona 2,000,000 800,000 1,000,000 3,800,000
Oregon 2,000,000 50,000 100,000 2,150,000
New York 8,000,000 2,000,000 5,000,000 15,000,000
total 12,800,000 2,862,000 6

True or False: The probability of Type I error is referred to as the significance level of the test.
True
False
A Type II error is defined as:
rejecting a true null hypothesis.
rejecting a false null hypothesis.
failing to reject a true null hypothesis.
f