E Click the icon to view the data table. ..... OC. Ho: Ho +0 (where Hp "H1 -42) H1: HD =0 O D. Ho: Hp S0 (where Ho =H H: HD >0 Data table The test statistic is tSTAT = 2.09. (Round to two decimal places as needed.) Item Store A Store B The critical value(s) is(are) - 1.83, 1.83. (Use a comma to separate answers as needed. Round to two decimal places as needed.) Milk Dozen eggs 2.22 1.37 2.39 1.72 Orange juice Head of lettuce 2.02 2.56 Since the test statistic is greater than the critical value(s), reject Họ. There is sufficient evidence to conclude that the mean price is di 1.97 1.31 3.71 Ground beef Canned tuna Granny Smith apples Box of linguini 4.99 1.76 b. What assumption is necessary about the population distribution in order to perform this test? 1.28 1.66 1.63 2.14 5.94 1.95 O A. It must be assumed that the distribution of the differences between the measurements is approximately uniform. Salmon steak O B. It must be assumed that the distribution of the differences between the measurements is skewed. 7.96 2.16 Chicken 2.34 O C. It must be assumed that the distribution of the differences between the measurements is approximately normal. c. Determine the p-value in (a) and interpret its meaning. Print Done The test statistic gives a p-value of 0.07. (Round to two decimal places as needed.) Interpret the meaning of the p-value in (a). Choose the correct answer below. O A. The p-value is the probability of obtaining a sample mean difference less extreme than this one if the population mean prices at the two stores are different.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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The accompanying data table compares the prices of some kitchen staples at two grocery​ stores, A and B. Complete parts​ (a) to​ (d).
 
i only want part D solved
The accompanying data table compares the prices of some kitchen staples at two grocery stores, A and B. Complete parts (a) to (d).
E Click the icon to view the data table.
.....
O C. Ho: Hp #0 (where up =H1 - H2)
O D. Ho: HD S0 (where Hp = H
H1: HD =0
H: HD >0
...
Data table
The test statistic is tSTAT = 2.09.
(Round to two decimal places as needed.)
Item
Store A
Store B
The critical value(s) is(are) - 1.83, 1.83
Milk
2.22
1.37
(Use a comma to separate answers as needed. Round to two decimal places as needed.)
Dozen eggs
2.39
1.72
Orange juice
orang
Head of lettuce
2.02
2.56
Since the test statistic
is greater than
the critical value(s),
reject
Họ. There is sufficient evidence to conclude that the mean price is di
1.97
1.31
Ground beef
4.99
3.71
1.28
1.63
2.14
b. What assumption is necessary about the population distribution in order to perform this test?
Canned tuna
1.76
Granny Smith apples
Box of linguini
Salmon steak
1.66
1.95
7.96
2.16
O A. It must be assumed that the distribution of the differences between the measurements is approximately uniform.
5.94
O B. It must be assumed that the distribution of the differences between the measurements is skewed.
Chicken
2.34
O C. It must be assumed that the distribution of the differences between the measurements is approximately normal.
c. Determine the p-value in (a) and interpret its meaning.
The test statistic gives a p-value of 0.07.
Print
Done
(Round to two decimal places as needed.)
Interpret the meaning of the p-value in (a). Choose the correct answer below.
O A. The p-value is the probability of obtaining a sample mean difference less extreme than this one if the population mean prices at the two stores are different.
O B. The p-value is the probability of obtaining a sample mean difference at least as extreme as this one if the population mean prices at the two stores are the same.
OC. The p-value is the probability of failing to reject the null hypothesis when it is actually false.
d. Construct a 90% confidence interval estimate of the difference in the mean prices between the two stores.
The 90% confidence interval estimate isSHDS
(Round to two decimal places as needed.)
Transcribed Image Text:The accompanying data table compares the prices of some kitchen staples at two grocery stores, A and B. Complete parts (a) to (d). E Click the icon to view the data table. ..... O C. Ho: Hp #0 (where up =H1 - H2) O D. Ho: HD S0 (where Hp = H H1: HD =0 H: HD >0 ... Data table The test statistic is tSTAT = 2.09. (Round to two decimal places as needed.) Item Store A Store B The critical value(s) is(are) - 1.83, 1.83 Milk 2.22 1.37 (Use a comma to separate answers as needed. Round to two decimal places as needed.) Dozen eggs 2.39 1.72 Orange juice orang Head of lettuce 2.02 2.56 Since the test statistic is greater than the critical value(s), reject Họ. There is sufficient evidence to conclude that the mean price is di 1.97 1.31 Ground beef 4.99 3.71 1.28 1.63 2.14 b. What assumption is necessary about the population distribution in order to perform this test? Canned tuna 1.76 Granny Smith apples Box of linguini Salmon steak 1.66 1.95 7.96 2.16 O A. It must be assumed that the distribution of the differences between the measurements is approximately uniform. 5.94 O B. It must be assumed that the distribution of the differences between the measurements is skewed. Chicken 2.34 O C. It must be assumed that the distribution of the differences between the measurements is approximately normal. c. Determine the p-value in (a) and interpret its meaning. The test statistic gives a p-value of 0.07. Print Done (Round to two decimal places as needed.) Interpret the meaning of the p-value in (a). Choose the correct answer below. O A. The p-value is the probability of obtaining a sample mean difference less extreme than this one if the population mean prices at the two stores are different. O B. The p-value is the probability of obtaining a sample mean difference at least as extreme as this one if the population mean prices at the two stores are the same. OC. The p-value is the probability of failing to reject the null hypothesis when it is actually false. d. Construct a 90% confidence interval estimate of the difference in the mean prices between the two stores. The 90% confidence interval estimate isSHDS (Round to two decimal places as needed.)
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