20 Practice Questions if anyone can help Practice Set 4 1. Find z for each of the following confidence levels. Round to two decimal places. 90% 95% 96% 97% 98% 99% 2. For a data set obtained from a random sample, n = 81 and x = 48.25. It is known that σ = 4.8. What is the point estimate of μ? Round to two decimal places Make a 95% confidence interval for μ. What is the lower limit? Round to two decimal places. Make a 95% confidence interval for μ. What is the upper limit? Round to two decimal places. What is the margin of error of estimate for part b? Round to two decimal places. 3. Determine the sample size (nfor the estimate of μ for the following. E = 2.3, σ = 15.40, confidence level = 99%. Round to the nearest whole number. E = 4.1, σ = 23.45, confidence level = 95%. Round to the nearest whole number. E = 25.9, σ = 122.25, confidence level = 90%. Round to the nearest whole number. 4. True or False. a.The null hypothesis is a claim about a population parameter that is assumed to be false until it is declared false.

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Practice Set 3

QNT/275 Version 6

University of Phoenix Material

Practice Set 3

Practice Set 3

1. Let x be a continuous random variable. What is the probability that x assumes a single value, such as

a (use numerical value)?

2. The following are the three main characteristics of a normal distribution.

A. The total area under a normal curve equals _____.

B. A normal curve is ___________ about the mean. Consequently, 50% of the total area

under a normal distribution curve lies on the left side of the mean, and 50% lies on the

right side of the mean.

C. Fill in the blank. The tails of a normal distribution curve extend indefinitely in both

directions without touching or crossing the horizontal axis. Although a normal curve

never meets the ________ axis, beyond the points represented by µ – 3σ to µ + 3σ

it becomes so close to this axis that the area under the curve beyond these points in

both directions is very close to zero.

3. For the standard normal distribution, find the area within one standard deviation of the

mean that is, the area between μ − σ and μ + σ. Round to four decimal places.

4. Find the area under the standard normal curve. Round to four decimal places.

a)

b)

c)

d)

e)

between z = 0 and z = 1.95

between z = 0 and z = −2.05

between z = 1.15 and z = 2.37

from z = −1.53 to z = −2.88

from z = −1.67 to z = 2.24

5. The probability distribution of the population data is called the (1) ________. Table 7.2 in the text

provides an example of it. The probability distribution of a sample statistic is called its (2)

_________. Table 7.5 in the text provides an example it.

A.

B.

C.

D.

Probability distribution

Population distribution

Normal distribution

Sampling distribution

6. ___________ is the difference between the value of the sample statistic and the value of the

corresponding population parameter, assuming that the sample is random and no non-sampling

error has been made. Example 7–1 in the text displays sampling error. Sampling error occurs

only in sample surveys.

7. Consider the following population of 10 numbers. 20 25 13 19 9 15 11 7 17 30

a) Find the population mean. Round to two decimal places.

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Practice Set 3

QNT/275 Version 6

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b) Rich selected one sample of nine numbers from this population. The sample included the

numbers 20, 25, 13, 9, 15, 11, 7, 17, and 30. Calculate sampling error for this sample. Round to

decimal places.

8. Fill in the blank. The F distribution is ________ and skewed to the right. The F distribution has two

numbers of degrees of freedom: df for the numerator and df for the denominator. The units of an F

distribution, denoted by F, are nonnegative.

9. Find the critical value of F for the following. Round to two decimal places.

a) df = (3, 3) and area in the right tail = .05

b) df = (3, 10) and area in the right tail = .05

c) df = (3, 30) and area in the right tail = .05

10. The following ANOVA table, based on information obtained for three samples selected from three

independent populations that are normally distributed with equal variances, has a few missing values.

Source of

Variation

Between

Within

Total

Degrees of

Freedom

2

1)

Sum of

Squares

2)

89.3677

12

4)

Mean

Square

19.2813

3)

Value of the

Test Statistic

F = ___5)__ = 7)

6)

Refer to Chapter 12, Example 12-2 and Tables 12.3 & 12.4, page 490.

a) Find the missing values 1) – 7) and complete the ANOVA table. Round to four decimal places.

b) Using α = .01, what is your conclusion for the test with the null hypothesis that the means of the

three populations are all equal against the alternative hypothesis that the means of the three

populations are not all equal? Select from following:

i.

ii.

iii.

iv.

Reject H0. Conclude that the means of the three populations are equal.

Reject H0. Conclude that the means of the three populations are not equal.

Do not reject H0. Conclude that the means of the three populations are equal.

Do not reject H0. Conclude that the means are of the three populations are not equal.

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Practice Set 4

QNT/275 Version 6

University of Phoenix Material

Practice Set 4

Practice Set 4

1. Find z for each of the following confidence levels. Round to two decimal places.

A. 90%

B. 95%

C. 96%

D. 97%

E. 98%

F. 99%

2. For a data set obtained from a random sample, n = 81 and x = 48.25. It is known

that σ = 4.8.

A. What is the point estimate of μ? Round to two decimal places

B. Make a 95% confidence interval for μ. What is the lower limit? Round to two decimal

places.

C. Make a 95% confidence interval for μ. What is the upper limit? Round to two decimal

places.

D. What is the margin of error of estimate for part b? Round to two decimal places.

3. Determine the sample size (nfor the estimate of μ for the following.

A. E = 2.3, σ = 15.40, confidence level = 99%. Round to the nearest whole number.

B. E = 4.1, σ = 23.45, confidence level = 95%. Round to the nearest whole number.

C. E = 25.9, σ = 122.25, confidence level = 90%. Round to the nearest whole number.

4. True or False.

a.The null hypothesis is a claim about a population parameter that is assumed to be false until

it is declared false.

A. True

B. False

b. An alternative hypothesis is a claim about a population parameter that will be true if the

null hypothesis is false.

A. True

B. False

c. The critical point(s) divide(s) is some of the area under a distribution curve into rejection

and nonrejection regions.

A. True

B. False

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Practice Set 4

QNT/275 Version 6

d. The significance level, denoted by α, is the probability of making a Type II error, that is,

the probability of rejecting the null hypothesis when it is actually true.

A. True

B. False

e. The nonrejection region is the area to the right or left of the critical point where the null

hypothesis is not rejected.

A. True

B. False

5. A Type I error is committed when

A. A null hypothesis is not rejected when it is actually false

B. A null hypothesis is rejected when it is actually true

C. An alternative hypothesis is rejected when it is actually true

6. Consider H0: μ = 45 versus H1: μ < 45. A random sample of 25 observations produced a
sample mean of 41.8. Using α = .025 and the population is known to be normally distributed
with σ = 6.
A. What is the value of z? Round to two decimal places.
B. Would you reject the null hypothesis?
1. Reject Ho
2. Do not reject Ho
7. The following information is obtained from two independent samples selected from two
normally distributed populations.
n1 = 18
x1 = 7.82
σ1 = 2.35
n2 =15
x2 =5.99
σ2 =3.17
A. What is the point estimate of μ1 − μ2? Round to two decimal places.
B. Construct a 99% confidence interval for μ1 − μ2. Find the margin of error for this estimate.
Round to two decimal places.
8. The following information is obtained from two independent samples selected from two
populations.
n1 =650
x1 =1.05
σ1 =5.22
n2 =675
x2 =1.54
σ2 =6.80
Test at a 5% significance level if μ1 is less than μ2.
a) Identify the appropriate distribution to use.
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Practice Set 4
QNT/275 Version 6
A. t distribution
B. normal distribution
b) What is the conclusion about the hypothesis?
A. Reject Ho
B. Do not reject Ho
9. Using data from the U.S. Census Bureau and other sources, www.nerdwallet.com estimated
that considering only the households with credit card debts, the average credit card debt for U.S.
house- holds was $15,523 in 2014 and $15,242 in 2013. Suppose that these estimates were based
on random samples of 600 households with credit card debts in 2014 and 700 households with
credit card debts in 2013. Suppose that the sample standard deviations for these two samples
were $3870 and $3764, respectively. Assume that the standard deviations for the two populations
are unknown but equal.
a) Let μ1 and μ2 be the average credit card debts for all such households for the years 2014
and 2013, respectively. What is the point estimate of μ1 − μ2? Round to two decimal
places. Do not include the dollar sign.
b) Construct a 98% confidence interval for μ1 − μ2. Round to two decimal places. Do not
include the dollar sign.
1. What is the lower bound? Round to two decimal places.
2. What is the upper bound? Round to two decimal places.
c) Using a 1% significance level, can you conclude that the average credit card debt for such
households was higher in 2014 than in 2013? Use both the p-value and the critical-value
approaches to make this test.
A. Reject Ho
B. Do not reject Ho
10. Gamma Corporation is considering the installation of governors on cars driven by its sales
staff. These devices would limit the car speeds to a preset level, which is expected to improve
fuel economy. The company is planning to test several cars for fuel consumption without
governors for 1 week. Then governors would be installed in the same cars, and fuel
consumption will be monitored for another week. Gamma Corporation wants to estimate the
mean difference in fuel consumption with a margin of error of estimate of 2 mpg with a 90%
confidence level. Assume that the differences in fuel consumption are normally distributed
and that previous studies suggest that an estimate of sd=3sd=3 mpg is reasonable. How many
cars should be tested? (Note that the critical value of tt will depend on nn, so it will be
necessary to use trial and error.)
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