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I want red! A candy maker offers Child and Adult bags of jelly beans with different color mixes. The company claims that the Child mix has 30% red jelly beans while the Adult mix contains 15% red jelly beans. Assume that the candy maker鈥檚 claim is true. Suppose we take a random sample of 50jelly beans from the Child mix and a separate random sample of 100jelly beans from the Adult mix.

(a) Find the probability that the proportion of red jelly beans in the Child sample is less than or equal to the proportion of red jelly beans in the Adult sample. Show your work

(b) Suppose that the Child and Adult samples contain an equal proportion of red jelly beans. Based on your result in part (a), would this give you a reason to doubt the company鈥檚 claim? Explain.

Short Answer

Expert verified

From the given information,

a) The probability that the proportion of red jelly beans in the Child sample is less than or equal to the proportion of red jelly beans in the Adult sample is 0.0212.

b) Yes, the company claim can be doubted.

Step by step solution

01

Part (a) Step 1: Given Information

It is given in the question that,

The proportion of red jelly beans in the child mix =30%

The proportion of red jelly beans in the adult mix =15%

Random samples of jelly beans taken from the Child Mix =50

Random samples of jelly beans taken from the Adult Mix =100

02

Part(a) Step 2: Explanation

Red jelly beans in bags for children and p2is the actual proportion of red jelly beans in bags for adults, the sampling distribution of p1-p2is Normal where p1=30100=0.30,p2=15100=0.15because:

localid="1650446424637" n1p1=500.30=15

localid="1650446436131" n1(1p1)=500.70=35

localid="1650446447320" n2p2=1000.15=15

localid="1650446461437" n2(1p2)=1000.85=85

Are at least10, the sampling distribution ofp^1p^2is approximately Normal. Its mean is:

p2=p1p2

=0.30-0.15

=0.15

03

Part(a) Step 3: Explanation

The standard deviation is :

hh^2=p1(1p1)n1+p2(1p2)n2

=0.3(10.3)50+0.15(10.15)100

=0.0740

Hence,

p(p^1p^20)=p(z00.150.0740)

=P(z2.03)

=0.0212

04

Part(b) Step 1: Given Information

It is given in the question, Suppose that the Child and Adult samples contain an equal proportion of red jelly beans. Based on your result in part (a), would this give you a reason to doubt the company鈥檚 claim? Explain

05

Part(b) Step 2: Explanation

Yes, the company's assertion has been questioned. The probability that the proportion of red jelly beans in the Child sample is less than or equal to that in the Adult sample is 0.0212, based on section (a). If the company's claim is true, there is only a 2% chance of getting the same number of red jellybeans in the child sample as in the adult sample. This is highly unlikely.

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Most popular questions from this chapter

Your teacher brings two bags of colored goldfish crackers to class. She tells you that Bag 1has 25%red crackers and Bag 2has 35%red crackers. Each bag contains more than 500crackers. Using a paper cup, your teacher takes an SRS of 50crackers from Bag 1 and a separate SRS of 40crackers from Bag 2. Let p1^-p2^be the difference in the sample proportions of red crackers.

What is the shape of the sampling distribution ofp1^-p2^ ? Why?

A fast-food restaurant uses an automated filling machine to pour its soft drinks. The machine has different settings for small, medium, and large drink cups. According to the machine鈥檚 manufacturer, when the large setting is chosen, the amount of liquid dispensed by the machine follows a Normal distribution with mean 27ounces and standard deviation0.8ounces. When the medium setting is chosen, the amount of liquid dispensed follows a Normal distribution with mean 17ounces and standard deviation 0.5ounces. To test the manufacturer鈥檚 claim, the restaurant manager measures the amount of liquid in a random sample of 25cups filled with the medium setting and a separate random sample of 20cups filled with the large setting. Let x1-x2be the difference in the sample mean amount of liquid under the two settings (large 鈥 medium). Find the mean and standard deviation of the sampling distribution.

A sample survey interviews SRSs of 500female college students and 550male college students. Each student is asked whether he or she worked for pay last summer. In all,410of the women and 484of the men say 鈥淵es.鈥 TakepMand localid="1650271716184" pFbe the proportions of all college males and females who worked last summer. We conjectured before seeing the data that men are more likely to work. The hypotheses to be tested are

(a) H0:pM-pf=0versus Ha;pM-pF0

(b) H0:pM-pF=0versusHa:pM-pF>0.

(c) H0:pM-pF=0versusHa:pM-pF<0

(d) H0:pM-pF>0versusHa:pM-pF=0

(e) H0:pM-pF0versusHa:pM-pF=0

Looking back on love How do young adults look back on adolescent romance? investigators interviewed couples in their mid-twenties. The female and male partners were interviewed separately. Each was asked about his or her current relationship and also about a romantic relationship that lasted at least two months when they were aged 15or16 . One response variable was a measure on a numerical scale of how much the attractiveness of the adolescent partner mattered. You want to compare the men and women on this measure.

Refer to Exercise16.

(a) Carry out a significance test at the =0.05level.

(b) Construct and interpret a 95%confidence interval for the difference between the population proportions. Explain how the confidence interval is consistent with the results of the test in part (a).

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