Western Pygmy-Possum. The foraging behavior of the western pygmy-possum was investigated in the article "Strategies of a Small Nectarivorous Marsupial, the Western Pygmy-Possum, in Response to Seasonal Variation in Food Availability" (Journal of Mammalogy, Vol. 96, No. 6, pp. 1525-1535) by D. Morrant and S. Petit. The weights of adult male pygmy-possums in Australia are normally distributed with a mean of 8.5g and a standard deviation of 0.3g

a. Sketch the normal curve for the pygmy-possum weights.

b. Find the sampling distribution of the sample mean for samples of size 4Draw a graph of the normal curve associated with x¯

c. Repeat part (b) for samples of size 9

Short Answer

Expert verified

Part (b) For samples of size 4, the sampling distribution of the sample mean is mean μx8.5gand the standard deviation σXis equal to0.15g

Part (c) For samples of size 4, the sampling distribution of the sample mean is mean μx8.5gand standard deviation σXis equal to0.1g

Part (a) The normal curve for the pygmy-possum weights.

Step by step solution

01

Part (a) Step 1: Given information

The weight of adult male pygmy-possums (x)is normally distributed with mean (μ)8.5gand standard deviation (σ)0.3g

02

Part (a) Step 2: Concept

The formula used: Standard deviation σx¯=σn

03

Part (a) Step 3: Explanation

To create the normal curve for the pygmy-possum weights, use MINITAB.

The weight of adult male pygmy-possums (x)is assumed to be regularly distributed, with a mean of μ8.5gand a standard deviation of σ0.3g

Procedure for MINITAB:

Step (1): Select Graph>Probability Distribution Plot >View Single >Ok from the drop-down menu.

Step (2): Select a Normal from the Distribution menu.

Step (3): Enter 8.5in Mean and 0.3in Standard deviation.

Step (4): Click OK.

MINITAB output:

04

Part (b) Step 1: Calculation

For samples of size 4, obtain the sampling distribution of the sample mean.

The sample distribution's mean μxis 8.5g, and the standard deviation is

σx¯=σn=0.34=0.32=0.15

For samples of size 4, the sampling distribution of the sample mean is mean μx8.5g and standard deviation σs¯ is equal to 0.15g

05

Part (b) Step 2: Explanation

To create the normal curve for the sample distribution, use MINITAB.

Procedure for MINITAB:

Step (1): Select Graph>Probability Distribution Plot >View Single >Ok from the drop-down menu.

Step 2: Select a Normal from the Distribution menu.

Step 3: Enter 8.5in Mean and 0.15in Standard deviation.

Step 4: Click OK.

MINITAB output:

Procedure for MINITAB:

Step (1): Select Graph

06

Part (c) Step 1: Calculation

For samples of size 9, obtain the sampling distribution of the sample mean.

The sample distribution's mean μxis 8.5g, and the standard deviation is

σx¯=σn=0.39=0.33=0.1

For samples of size 4, the sampling distribution of the sample mean is mean μx8.5gand standard deviationσxis0.1g

07

Part (c) Step 2: Calculation

Procedure for MINITAB:

Step (1): Select Graph>Probability Distribution Plot>View Single >Ok from the drop-down menu.

Step (2): Select a Normal from the Distribution menu.

Step (3): Enter8.5in Mean and 0.1in Standard deviation.

Step (4): Click OK.

MINITAB output:

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Most popular questions from this chapter

Refer to Exercise 7.9 on page 295.

a. Use your answers from Exercise 7.9(b) to determine the mean, μs, of the variable x¯for each of the possible sample sizes.

b. For each of the possible sample sizes, determine the mean, μs, of the variable x¯, using only your answer from Exercise 7.9(a).

Population data: 1,2,3,4.

Part (a): Find the mean, μ, of the variable.

Part (b): For each of the possible sample sizes, construct a table similar to Table 7.2on the page 238and draw a dotplot for the sampling for the sampling distribution of the sample mean similar to Fig 7.1on page 293.

Part (c): Construct a graph similar to Fig 7.3and interpret your results.

Part (d): For each of the possible sample sizes, find the probability that the sample mean will equal the population mean.

Part (e): For each of the possible sample sizes, find the probability that the sampling error made in estimating the population mean by the sample mean will be 0.5or less, that is, that the absolute value of the difference between the sample mean and the population mean is at most 0.5.

Each years, Forbers magazine publishes a list of the richest people in the United States. As of September 16, 2013,the six richest Americans and their wealth (to the nearest billion dollars) are as shown in the following table. Consider these six people a population of interest.

Part (a): Calculate the mean wealth, μ, of the six people.

Part (b): For samples of size 2, construct a table similar to Table 7.2 on page 293. (There are 15 possible samples of size 2.)

Part (c): Draw a dotplot for the sampling distribution of the sample mean for samples of size 2.

Part (d): For a random sample of size2, what is the chance that the sample mean will equal the population mean?

Part (e): For a random sample of size 2, determine the probability that the mean wealth of the two people obtained will be within 3 of the population mean. Interpret your result in terms of percentages.

7.1 Why is sampling often preferable to conducting a census for the purpose of obtaining information about a population?

Suppose that a sample is to be taken without replacement from a finite population of size Nif the sample size is the same as the population size

(a) How many possible samples are there?

(b) What are the possible sample means?

(c) What is the relationship between the only possible sample and the population

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