questiun = Question Heip Course Note Packet Chapter 9 Page 7,9 and 10 The data table below contains the amounts that a sample of nine customers spent for lunch (in dollars) at a fast-food restaurant. Complete parts (a) through (d). Click here to view page 1 of the table of critical values of t. Click here to view page 2 of the table of critical values of t. 4.20 5.07 5.93 6.49 7.31 7.63 8.44 8.59 9.89 a a. At the u.UT Tevei or signinIcance, is tnere evidence tnar tne mean amount spent Tor iuncn is aitrerent trom 56.50? State the null and alternative hypotheses. (Type integers or decimals. Do not include the S symbol in your answer.) Identify the critical value(s). The critical value(s) is(are) (Round to four decimal places as needed. Use a comma to separate answers as needed.) Determine the test statistic The test statistic is (Round to four decimal places as needed.) State the conclusion. Ho. There is v evidence conclude that the mean amount spent for lunch is different from $6.50. b. Determine the p-value and interpret its meaning. The p-value is (Round to four decimal places as needed.) Interpret the meaning of the p-value. Choose the correct answer below. O A. The p-value is the probability of obtaining a sample mean that equal to or more extreme than $0.56 away from S6.50 if the null hypothesis is true. O B. The p-value is the probability of not rejecting the null hypothesis when it is false. O C. The p-value is the probability of obtaining a sample mean that O D. The p-value is the probability of obtaining a sample mean that equal to or more extreme than $0.56 below S6.50 if the null hypothesis is false. equal to or more extreme than $0.56 above $6.50 if the null hypothesis is false. c. What assumption must you make about the population distribution in order to conduct the t test in (a) and (b)? O A. The population distribution of the amount spent is normally distributed. O B. The population distribution of the amount spent is skewed to one side O C. The population distribution of the amount spent follows the Student's t distribution. d. Because the sample size is 9, do you need to be concemed about the shape of the population distribution when conducting the t test in (a)? Explain. Choose the correct answer below. O A. With a small sample size, it is difficult to evaluate the assumption that the distribution follows the Student's t distribution. However, the distribution may be symmetric because the mean and the median are close in value. O B. With a small sample size, it is difficult to evaluate the assumption of a skewed distribution. However, the distribution may be asymmetric because the mean and the median are not close in value.

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter4: Writing Linear Equations
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questiun
= Question Heip
Course Note Packet Chapter 9 Page 7,9 and 10
The data table below contains the amounts that a sample of nine customers spent for lunch (in dollars) at a fast-food restaurant. Complete parts (a) through (d).
Click here to view page 1 of the table of critical values of t.
Click here to view page 2 of the table of critical values of t.
4.20 5.07 5.93 6.49 7.31 7.63 8.44 8.59 9.89 a
a. At the u.UT Tevei or signinIcance, is tnere evidence tnar tne mean amount spent Tor iuncn is aitrerent trom 56.50?
State the null and alternative hypotheses.
(Type integers or decimals. Do not include the S symbol in your answer.)
Identify the critical value(s).
The critical value(s) is(are)
(Round to four decimal places as needed. Use a comma to separate answers as needed.)
Determine the test statistic
The test statistic is
(Round to four decimal places as needed.)
State the conclusion.
Ho. There is
v evidence
conclude that the mean amount spent for lunch is different from $6.50.
b. Determine the p-value and interpret its meaning.
The p-value is
(Round to four decimal places as needed.)
Interpret the meaning of the p-value. Choose the correct answer below.
O A. The p-value is the probability of obtaining a sample mean that
equal to or more extreme than $0.56 away from S6.50 if the null hypothesis is true.
O B. The p-value is the probability of not rejecting the null hypothesis when it is false.
O C. The p-value is the probability of obtaining a sample mean that
O D. The p-value is the probability of obtaining a sample mean that
equal to or more extreme than $0.56 below S6.50 if the null hypothesis is false.
equal to or more extreme than $0.56 above $6.50 if the null hypothesis is false.
c. What assumption must you make about the population distribution in order to conduct the t test in (a) and (b)?
O A. The population distribution of the amount spent is normally distributed.
O B. The population distribution of the amount spent is skewed to one side
O C. The population distribution of the amount spent follows the Student's t distribution.
d. Because the sample size is 9, do you need to be concemed about the shape of the population distribution when conducting the t test in (a)? Explain. Choose the correct answer below.
O A. With a small sample size, it is difficult to evaluate the assumption that the distribution follows the Student's t distribution. However, the distribution may be symmetric because the mean and the median are close in value.
O B. With a small sample size, it is difficult to evaluate the assumption of a skewed distribution. However, the distribution may be asymmetric because the mean and the median are not close in value.
Transcribed Image Text:questiun = Question Heip Course Note Packet Chapter 9 Page 7,9 and 10 The data table below contains the amounts that a sample of nine customers spent for lunch (in dollars) at a fast-food restaurant. Complete parts (a) through (d). Click here to view page 1 of the table of critical values of t. Click here to view page 2 of the table of critical values of t. 4.20 5.07 5.93 6.49 7.31 7.63 8.44 8.59 9.89 a a. At the u.UT Tevei or signinIcance, is tnere evidence tnar tne mean amount spent Tor iuncn is aitrerent trom 56.50? State the null and alternative hypotheses. (Type integers or decimals. Do not include the S symbol in your answer.) Identify the critical value(s). The critical value(s) is(are) (Round to four decimal places as needed. Use a comma to separate answers as needed.) Determine the test statistic The test statistic is (Round to four decimal places as needed.) State the conclusion. Ho. There is v evidence conclude that the mean amount spent for lunch is different from $6.50. b. Determine the p-value and interpret its meaning. The p-value is (Round to four decimal places as needed.) Interpret the meaning of the p-value. Choose the correct answer below. O A. The p-value is the probability of obtaining a sample mean that equal to or more extreme than $0.56 away from S6.50 if the null hypothesis is true. O B. The p-value is the probability of not rejecting the null hypothesis when it is false. O C. The p-value is the probability of obtaining a sample mean that O D. The p-value is the probability of obtaining a sample mean that equal to or more extreme than $0.56 below S6.50 if the null hypothesis is false. equal to or more extreme than $0.56 above $6.50 if the null hypothesis is false. c. What assumption must you make about the population distribution in order to conduct the t test in (a) and (b)? O A. The population distribution of the amount spent is normally distributed. O B. The population distribution of the amount spent is skewed to one side O C. The population distribution of the amount spent follows the Student's t distribution. d. Because the sample size is 9, do you need to be concemed about the shape of the population distribution when conducting the t test in (a)? Explain. Choose the correct answer below. O A. With a small sample size, it is difficult to evaluate the assumption that the distribution follows the Student's t distribution. However, the distribution may be symmetric because the mean and the median are close in value. O B. With a small sample size, it is difficult to evaluate the assumption of a skewed distribution. However, the distribution may be asymmetric because the mean and the median are not close in value.
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