1: Observed weekly purchases of printers 8 14 13 18 13 4 8 2 4 14 17 15 11 11 18 13 11 11 11 8 18 7 9 16 6 19 12 2 10 13 7 14 11 15 13 12 11 11 8 17 18 O Reject O Do not reject O is O is not (1) (2)

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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1: Observed weekly purchases of printers
14 13
18 13
4
8
2 4
14 6
11
11 18
13 11
8 11 8 18 7 9
6 19 12 2 10 13
11
15 13 12 11
O Reject
(2) O is
O is not
(1)
O Do not reject
은 일
114
co o co
Transcribed Image Text:1: Observed weekly purchases of printers 14 13 18 13 4 8 2 4 14 6 11 11 18 13 11 8 11 8 18 7 9 6 19 12 2 10 13 11 15 13 12 11 O Reject (2) O is O is not (1) O Do not reject 은 일 114 co o co
4. The accompanying data shows the weekly purchases of printers at a particular electronic store. Using a = 0.05, perform a chi-square test to determine if the number of printers sold per week follows a normal probability distribution. Note that x = 11.3 and
s= 4.4.
Click the icon to view the weekly purchases of printers.
State the appropriate null and alternative hypotheses. What is the null hypothesis?
O A. Ho: The mean number of weekly printers purchased is not 11.3.
O B. Ho: The mean number of weekly printers purchased is 11.3.
OC. Ho: The number of printers sold per week at the electronic store does not follow the normal probability distribution.
O D. Ho: The number of printers sold per week at the electronic store follows the normal probability distribution.
What is the alternative hypothesis?
O A. H;: The mean number of weekly printers purchased is not 11.3.
O B. H1: The mean number of weekly printers purchased is 11.3.
OC. Hj: The number of printers sold per week at the electronic store follows the normal probability distribution.
O D. H,: The number of printers sold per week at the electronic store does not follow the normal probability distribution.
Use the intervals below to calculate the chi-square test statistic, y?.
z s-1.0
- 1.0 < z s0
0< z s1.0
1.0 < z
Interval 1:
Interval 2:
Interval 3:
Interval 4:
x2 =
(Round to two decimal places as needed.)
Determine the p-value.
p-value =
(Round to three decimal places as needed.)
State the appropriate conclusion.
(1)
Ho. There (2)
enough evidence to conclude that the number of printers sold per week at the electronic store does not follow the normal probability distribution.
Transcribed Image Text:4. The accompanying data shows the weekly purchases of printers at a particular electronic store. Using a = 0.05, perform a chi-square test to determine if the number of printers sold per week follows a normal probability distribution. Note that x = 11.3 and s= 4.4. Click the icon to view the weekly purchases of printers. State the appropriate null and alternative hypotheses. What is the null hypothesis? O A. Ho: The mean number of weekly printers purchased is not 11.3. O B. Ho: The mean number of weekly printers purchased is 11.3. OC. Ho: The number of printers sold per week at the electronic store does not follow the normal probability distribution. O D. Ho: The number of printers sold per week at the electronic store follows the normal probability distribution. What is the alternative hypothesis? O A. H;: The mean number of weekly printers purchased is not 11.3. O B. H1: The mean number of weekly printers purchased is 11.3. OC. Hj: The number of printers sold per week at the electronic store follows the normal probability distribution. O D. H,: The number of printers sold per week at the electronic store does not follow the normal probability distribution. Use the intervals below to calculate the chi-square test statistic, y?. z s-1.0 - 1.0 < z s0 0< z s1.0 1.0 < z Interval 1: Interval 2: Interval 3: Interval 4: x2 = (Round to two decimal places as needed.) Determine the p-value. p-value = (Round to three decimal places as needed.) State the appropriate conclusion. (1) Ho. There (2) enough evidence to conclude that the number of printers sold per week at the electronic store does not follow the normal probability distribution.
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