/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q.16 Orange, lemon, cherry, raspberry... [FREE SOLUTION] | 91影视

91影视

Orange, lemon, cherry, raspberry, blueberry, and lime are among the six fruit flavours available in Kellogg's Froot Loops cereal. Charise counted the number of cereal pieces in each flavour as she poured out her morning bowl of cereal. Here are her statistics.

Test the null hypothesis that each flavour of Kellogg's Froot Loops is distributed evenly throughout the population. Perform a follow-up analysis if you discover a noteworthy result.

Short Answer

Expert verified

There is insufficient data to establish that the produced population of Froot Loops contains an equal amount of each taste.

Step by step solution

01

Given information

Given in the question that, Kellogg鈥檚 Froot Loops cereal comes in six fruit flavors: orange, lemon, cherry, raspberry, blueberry, and lime. Charise poured out her morning bowl of cereal and methodically counted the number of cereal pieces of each flavor. Here are her data:

02

Explanation

Given,

FlavourCount
Orange28
Lemon21
Cherry16
Rasberry25
Blueberry14
Lime16

The test statistic will be calculated using the formula below.

2=(O-E)2E

The following are the null and alternative hypotheses:

localid="1650619689827" H0:p1=16

H0:p2=16

H0:p3=16

H0:p4=16

H0:p5=16

H0:p6=16

Ha:At least one of piis different

03

calculation for test statistic  

The test statistic is calculated as follows:

Observed value
Expected value(O-E)(O-E)2
(O-E)2E
28
20
8
64
3.2
21
20
1
1
0.05
16
20
-4
16
0.8
25
20
5
25
1.25
14
20
-6
36
1.8
16
20
-4
16
0.8




(O-E)2E2=7.9

The following is the test statistic:

localid="1650619811979" 2=(O-E)2E=7.9

The formula for calculating the degree of freedom is:

Degreeoffreedom=Numberofcategories-1=6-1=5

At 5degrees of freedom, the p-value using the chi-square table is 0.162.

Here the p-Value will be higher than the level of significance. The null hypothesis is not disproved.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Perform a follow-up analysis of the test in Exercise 40 by finding the individual components of the chi-square statistic. Which cell(s) contributed most to the final result?

Some people think recycled products are lower in quality than other products, a fact that makes recycling less practical. Here are data on attitudes toward coffee filters made of recycled paper from a random sample of adults:

(a) Make a bar graph that compares buyers鈥 and non-buyers鈥 opinions about recycled filters. Describe what you see

(b) Minitab output for a chi-square test using these data is shown below. Carry out the test. What conclusion do you draw?

How to quit smoking It鈥檚 hard for smokers to quit. Perhaps prescribing a drug to fight depression will work as well as the usual nicotine patch. Perhaps combining the patch and the drug will work better than either treatment alone. Here are data from a randomized, double-blind trial that compared four treatments. A 鈥渟uccess鈥 means that the subject did not smoke for a year following the beginning of the study.

Group Treatment Subjects Successes

1 Nicotine patch 244 40

2 Drug 244 74

3 Patch plus drug 245 87

4 Placebo 160 25

(a) Summarize these data in a two-way table.

(b) Make a graph to compare the success rates for the four treatments. Describe what you see.

(c) Explain in words what the null hypothesis H0: p1 = p2 = p3 = p4 says about subjects鈥 smoking habits.

(d) Find the expected counts if H0 is true, and display them in a two-way table similar to the table of observed counts.

Gastric freezing was once a recommended treatment for ulcers in the upper intestine. The use of gastric freezing stopped after experiments showed it had no effect. One randomized comparative experiment found that 28of the 82gastric-freezing patients improved, while 30of the 78patients in the placebo group improved. We can test the hypothesis of 鈥渘o difference鈥 in the effectiveness of the treatments in two ways: with a two-sample z test or with a chi-square test.

(a) Minitab output for a chi-square test is shown below. State appropriate hypotheses and interpret the P-value in context. What conclusion would you draw?

Chi-Square Test: Gastric freezing, Placebo Expected counts are printed below observed counts Chi-Square contributions are printed below expected counts

(b) Minitab output for a two-sample z test is shown below. Explain how these results are consistent with the test in part (a).

Assuming H0is true, the expected number of Hispanic drivers who would receive a ticket is

(a) 8

(c) 11.

(e) 12.

(b) 10.36

(d) 11.84

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.