More sample minimums List all 4possible SRSs of size n=3, calculate the minimum age for each sample, and display the sampling distribution of the sample minimum on a dot plot with the same scale as the dot plot in Exercise 20. How does the variability of this sampling distribution compare with the variability of the sampling distribution from Exercise 20? What does this indicate about increasing the sample size?

From exercise20:

Car NumberColorAge
1
Red1
2
White5
3
Silver8
4
Red20

Short Answer

Expert verified

Dot plots with sample sizes of n=3have less variability than dot plots with sample sizes of n=.

As the sample size grows, the sampling variability reduces.

Dot plot:

Step by step solution

01

Given Information

We are given following data:

Car NumberColorAge
1
Red1
2
White5
3
Silver8
4
Red20

We need to calculate the minimum age for each sample, and draw it's dot plots.

We need to explain how variability of this sampling distribution compare with the variability of the sampling distribution from Exercise20

02

Explanation

All possible samples of size 3then contain any three cars all different of population of 4cars.

Sample of size 3
1,2,3
1,3,4
1,2,4
2,3,4

The smallest age of three cars is used as a sample minimum

Sample of size 3Sample minimum
1,2,3
min(1,5,8) = 1
1,2,4
min(1,5,20) = 1
1,3,4
min(1,8,20) = 1
2,3,4
min(5,8,20) = 5

From above data our Dot plot will be:

In exercise 20dot plots varies in range of 1to 8, whereas in this problem dot plot ranges from 1to 5

As a result, dot plots with sample sizes of n=3have less variability than dot plots with sample sizes of n=2.

This also means that as the sample size grows, the sampling variability reduces.

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Most popular questions from this chapter

At a particular college, 78%of all students are receiving some kind of financial aid. The school newspaper selects a random sample of 100students and 72%of the respondents say they are receiving some sort of financial aid. Which of the following is true?

  1. 78%is a population and 72%is a sample.
  2. 72%is a population and 78%is a sample.
  3. 78%is a parameter and 72%is a statistic.
  4. 72%is a parameter and 78%is a statistic.
  5. 72%is a parameter and 100is a statistic.

The student newspaper at a large university asks an SRS of 250 undergraduates, "Do you favor eliminating the carnival from the term-end celebration?" All in all, 150 of the 250 are in favor. Suppose that (unknown to you) 55\% of all undergraduates favor eliminating the carnival. If you took a very large number of SRSs of size n=250 n=250 from this population, the sampling distribution of the sample proportion pp^would be

a. exactly Normal with mean 0.55 and standard deviation 0.03.

b. approximately Normal with mean 0.55 and standard deviation 0.03.

c. exactly Normal with mean 0.60 and standard deviation 0.03.

d. approximately Normal with mean 0.60 and standard deviation 0.03.

e. heavily skewed with mean 0.55 and standard deviation 0.03.

Making auto parts A grinding machine in an auto parts plant prepares axles with a target diameter μ=40.125millimeters (mm). The machine has some variability, so the standard deviation of the diameters is σ=0.002mm. The machine operator inspects a random sample of 4 axles each hour for quality control purposes and records the sample mean diameter x-x¯. Assume the machine is working properly.

a. Identify the mean of the sampling distribution of x-·x¯.

b. Calculate and interpret the standard deviation of the sampling distribution of x-x¯.

According to government data, 22%of American children under the age of 6 live in households with incomes less than the official poverty level. A study of learning in

early childhood chooses an SRS of300 children from one state and finds that pp^=.

a. Find the probability that at least 29%of the sample are from poverty-level households0.29households.

b. Based on your answer to part (a), is there convincing evidence that the percentage of children under the age of 6 living in households with incomes less than the official poverty level in this state is greater than the national value of 22%? Explain your reasoning.

The mean of this distribution (don’t try to find it) will be

a. very close to the median.

b. greater than the median.

c. less than the median.

d. You can’t say, because the distribution isn’t symmetric.

e. You can’t say, because the distribution isn’t Normal.

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