distribution of age category for individuals buying season passes is different from what the amusement pärk člaims. The tourist compahy Pandomly sampled 200 IHUlviduais entering the park with a season pass and recorded the number of individuals within each age category. Age Category Child (under 13 years old) Teen (13 to 19 years old) Adult (20 to 55 years old) Senior (56 years old and over) Number of Individuals 56 86 44 14 The tourist company will use the data to test the amusement park's claim, which is reflected in the following null hypothesis. Ho : Pchild = 0.23, peen = 0.45, Padult = 0.20, and Psenior = 0.12. What inference procedure will the company use to investigate whether or not the distribution of age category for individuals with season passes is different from what the amusement park claims? A A one-sample z-test for a population proportion A two-sample z-test for a difference between population proportions C A matched pairs t-test for a mean difference D A chi-square test for homogeneity

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Question 2 h
An amusement park keeps track of the percentage of individuals with season passes according to age category. An independent tourist company would like to show that this
distribution of age category for individuals buying season passes is different from what the amusement park claims. The tourist company randomly sampled 200 individuals
entering the park with a season pass and recorded the number of individuals within each age category.
Age Category
Child (under 13 years old)
Teen (13 to 19 years old)
Adult (20 to 55 years old)
Senior (56 years old and over)
Number of Individuals
56
86
44
14
The tourist company will use the data to test the amusement park's claim, which is reflected in the following null hypothesis. Ho : Pchild = 0.23, Pteen = 0.45, padult
0.20, and
%3D
%3D
Psenior = 0.12. What inference procedure will the company use to investigate whether or not the distribution of age category for individuals with season passes is different from
what the amusement park claims?
A
A one-sample z-test for a population proportion
A two-sample z-test for a difference between population proportions
C
A matched pairs t-test for a mean difference
A chi-square test for homogeneity
吕0
F3
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000 F4
II
F8
F1
F2
F5
F6
F7
F9
F10
F1I
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Transcribed Image Text:Question 2 h An amusement park keeps track of the percentage of individuals with season passes according to age category. An independent tourist company would like to show that this distribution of age category for individuals buying season passes is different from what the amusement park claims. The tourist company randomly sampled 200 individuals entering the park with a season pass and recorded the number of individuals within each age category. Age Category Child (under 13 years old) Teen (13 to 19 years old) Adult (20 to 55 years old) Senior (56 years old and over) Number of Individuals 56 86 44 14 The tourist company will use the data to test the amusement park's claim, which is reflected in the following null hypothesis. Ho : Pchild = 0.23, Pteen = 0.45, padult 0.20, and %3D %3D Psenior = 0.12. What inference procedure will the company use to investigate whether or not the distribution of age category for individuals with season passes is different from what the amusement park claims? A A one-sample z-test for a population proportion A two-sample z-test for a difference between population proportions C A matched pairs t-test for a mean difference A chi-square test for homogeneity 吕0 F3 O00 000 F4 II F8 F1 F2 F5 F6 F7 F9 F10 F1I @ %23 $ 4 & 1 2 3 5 7 8 9
Question 3
A recent article published in Berry Weekly reported a probability distribution for the different types of jelly that individuals prefer. Editors from a competitive magazine, Jammin,
conducted their own study to test the distribution. The editors from Jammin surveyed a random sample of 50 individuals and recorded the observed counts of individuals for each
jelly type. They decided to test Berry Weekly's claim using a chi-square goodness-of-fit test using Jammin's observed counts compared with the number of expected counts based
on the Berry Weekly data.
Jammin Observed Counts
Berry Weekly Expected Counts
18
Strawberry (S)
16.5
12
Grape (G)
11
8.
Wild Berry (WB)
9.5
6.
Peach (P)
7.5
6.
Other (0)
5.5
Which of the following is the correct null hypothesis for the test?
0.075, Po
Ho : Ps = 0.165, PG = 0.11, PWB = 0.095, p, = = 0.055
%3D
A
%3D
%3D
Ho : Ps = 0.33, pG = 0.22, PWB = 0.19, p, =
0.15, Po
= 0.11
C
Ho : At least one of the proportions is different.
20
O00
000
F4
F1
F2
F3
F5
F6
F7
F8
F9
F10
F11
2#
$
4
%
&
(
1
2
3
5
6
7
8
9.
Transcribed Image Text:Question 3 A recent article published in Berry Weekly reported a probability distribution for the different types of jelly that individuals prefer. Editors from a competitive magazine, Jammin, conducted their own study to test the distribution. The editors from Jammin surveyed a random sample of 50 individuals and recorded the observed counts of individuals for each jelly type. They decided to test Berry Weekly's claim using a chi-square goodness-of-fit test using Jammin's observed counts compared with the number of expected counts based on the Berry Weekly data. Jammin Observed Counts Berry Weekly Expected Counts 18 Strawberry (S) 16.5 12 Grape (G) 11 8. Wild Berry (WB) 9.5 6. Peach (P) 7.5 6. Other (0) 5.5 Which of the following is the correct null hypothesis for the test? 0.075, Po Ho : Ps = 0.165, PG = 0.11, PWB = 0.095, p, = = 0.055 %3D A %3D %3D Ho : Ps = 0.33, pG = 0.22, PWB = 0.19, p, = 0.15, Po = 0.11 C Ho : At least one of the proportions is different. 20 O00 000 F4 F1 F2 F3 F5 F6 F7 F8 F9 F10 F11 2# $ 4 % & ( 1 2 3 5 6 7 8 9.
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