The candy machine Suppose a large candy machine has 45%orange candies, Use Figures 7.11and7.12(page 434) to help answer the following questions.

(a) Would you be surprised if a sample of 25candies from the machine contained 8orange candies (that's 32%orange)? How about 5orange candies ( 20%orange)? Explain.

(b) Which is more surprising getting a sample of 25candies in which 32%are orange or getting a sample of 50candies in which 32%are orange? Explain.

Short Answer

Expert verified

(a) Obtaining 8orange candies is not very surprising,

Obtaining 5orange candies is surprising.

(b) Getting a sample of 50candies in which 32%are orange candies is more surprising.

Step by step solution

01

Part (a) Step 1: Given Information 

Given in the question that sample of 25candies from the machine contained 8orange candies (that's 32%orange)? and 5orange candies ( 20%orange).we have to find that which sample would be surprised.

02

Part (a) Step 2: Explanation 

In the candy machine, the percentage of orange candies is 45

The dot plot shows that the sample percentage of 32percent has a lot of dots above it, indicating that getting a sample proportion of 32percent is quite likely.

As a result, getting 8orange candies isn't all that surprising.

In the dot plot, the sample percentage of 20% now has no dots above it, indicating that getting a sample proportion of 20%is unlikely.

As a result, getting5 orange candy is a pleasant surprise.

03

Part (b) Step 1: Given Information 

Given in the question that a sample of 25candies in which 32%are orange or getting a sample of 50candies in which 32%are orange we have to find Which is more surprising.

04

Part (b) Step 2:  Explanation 

In the candy machine, the percentage of orange candies is 45%

In the dot plots, the centre of the distribution is around 0.45.

It can be seen that the population proportion of 0.45is not very close to32%

It is more unusual to achieve a sample proportion that differs from the population proportion for a sample with a greater sample size.

As a result, receiving a sampling of 50candies, with 32percent of them being orange candies, is even more shocking.

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Most popular questions from this chapter

The number of undergraduates at Johns Hopkins University is approximately 2000 , while the number at Ohio State University is approximately 60,000. At both schools, a simple random sample of about 3%of the undergraduates is taken. Each sample is used to estimate the proportion p of all students at that university who own an iPod. Suppose that, in fact, p=0.80 at both schools. Which of the following is the best conclusion?

a. We expect that the estimate from Johns Hopkins will be closer to the truth than the estimate from Ohio State because it comes from a smaller population.

b. We expect that the estimate from Johns Hopkins will be closer to the truth than the estimate from Ohio State because it is based on a smaller sample size.

c. We expect that the estimate from Ohio State will be closer to the truth than the estimate from Johns Hopkins because it comes from a larger population.

d. We expect that the estimate from Ohio State will be closer to the truth than the estimate from Johns Hopkins because it is based on a larger sample size.

e. We expect that the estimate from Johns Hopkins will be about the same distance from the truth as the estimate from Ohio State because both samples are 3 % of their populations.

Predict the election A polling organization plans to ask a random sample of likely voters who they plan to vote for in an upcoming election. The researchers will report the sample proportion p that favors the incumbent as an estimate of the population proportion pthat favors the incumbent. Explain to someone who knows little about statistics what it means to say that pis an unbiased estimator of p.

What does the CLT say? Asked what the central limit theorem says, a student replies, "As you take larger and larger samples from a population, the histogram of the sample values looks more and more Normal." Is the student right? Explain your answer.

Tall girls According to the National Center for Health Statistics, the distribution of height for 16-year-old females is modeled well by a Normal density curve with mean μ=64inches and standard deviation σ=2.5inches. Assume this claim is true for the three hundred 16-year-old females at a large high school.

a. Make a graph of the population distribution.

b. Imagine one possible SRS of size 20from this population. Sketch a dotplot of the distribution of sample data.

More sample proportions List all 4possible SRSs of size n=3, calculate the proportion of red cars in the sample, and display the sampling distribution of the sample proportion on a dot plot with the same scale as the dot plot in Exercise 19. How does the variability of this sampling distribution compare with the variability of the sampling distribution from Exercise 19? What does this indicate about increasing the sample size?

From exercise19:

Car NumberColorAge
1
Red
1
2
White
5
3
Silver
8
4
Red
20
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