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Ages of self-employed immigrants. Is self-employment for immigrant workers a faster route to economic advancement in the country? This was one of the questions studied in research published in the International Journal of Manpower (Vol. 32, 2011). One aspect of the study involved comparing the ages of self-employed and wage-earning immigrants. The researcher found that in Sweden, native wage earners tend to be younger than self-employed natives. However, immigrant wage earners tend to be older than self-employed immigrants. This inference was based on the table's summary statistics for male Swedish immigrants.

Self-employed immigrants

Wage-earning immigrants

Sample Size

870

84,875

Mean

44.88

46.79

Source: Based on L. Andersson, "Occupational Choice and Returns to Self-Employment Among Immigrants," International Journal of Manpower, Vol. 32, No. 8, 2011 (Table I).

a. Based on the information given, why is it impossible to provide a measure of reliability for the inference "Self-employed immigrants are younger, on average, than wage-earning immigrants in Sweden"?

b. What information do you need to measure reliability for the inference, part a?

c. Give a value of the test statistic that would conclude that the true mean age of self-employed immigrants is less than the true mean age of wage-earning immigrants if you are willing to risk a Type I error rate of .01.

d. Assume that s, the standard deviation of the ages is the same for both self-employed and wage-earning immigrants. Give an estimate of s that would lead you to conclude that the true mean age of self-employed immigrants is less than the true mean age of wage-earning immigrants using α=0.01 .

e. Is the true value of s likely to be larger or smaller than the one you calculated in part d?

Short Answer

Expert verified

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Step by step solution

01

Step-by-Step Solution Step 1: (a) State the reason

It is impossible to provide reliability for the inference "Self-employed immigrants are younger, on average, than wage-earning immigrants in Sweden" because the measure of variability or variance of data has not been provided.

02

(b) State the required information

To obtain a measure of reliability for the inference, "Self-employed immigrants are younger, on average, than wage-earning immigrants in Sweden," we need the measure of variability or variance of data.

03

(c) Give a value of the test statistic

Let μ1 be the true mean age of self-employed immigrants and μ2 be the true mean age of wage-earning immigrants.

Null Hypothesis: There is no significant difference between the true mean age of self-employed immigrants and the true mean age of wage-earning immigrants.

H0:μ1−μ2=0

Alternate Hypothesis: The true mean age of self-employed immigrants is lesser than the true mean age of wage-earning immigrants.

Ha:μ1−μ2<0

The critical value for the left-tailed test α=0.01is -2.33

If zdata≤−2.33then, reject the null hypothesis.

04

(d) Find the value of the Standard Deviation

z=(x1¯−x¯2)−(μ1−μ2)(σ2n1+σ2n2)⇒(44.88−46.79)−0σ2870+σ284875≤−2.33⇒−1.91σ21870+184875≤−2.33⇒−1.91σ(1870+184875)≤−2.33⇒−1.91σ(0.034)≤−2.33⇒−1.91−2.33(0.034)≤σ⇒σ≤24.11

05

(e) State the conclusion about the standard deviation

The true value σ is likely to be smaller than 24.11. Moreover, the true value σis too large for the ages of people.

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Most popular questions from this chapter

Question: The purpose of this exercise is to compare the variability of with the variability of .

a. Suppose the first sample is selected from a population with mean and variance . Within what range should the sample mean vary about of the time in repeated samples of measurements from this distribution? That is, construct an interval extending standard deviations of on each side of .

b. Suppose the second sample is selected independently of the first from a second population with mean and variance . Within what range should the sample mean vary about the time in repeated samples of measurements from this distribution? That is, construct an interval extending standard deviations on each side .

c. Now consider the difference between the two sample means . What are the mean and standard deviation of the sampling distribution ?

d. Within what range should the difference in sample means vary about the time in repeated independent samples of measurements each from the two populations?

e. What, in general, can be said about the variability of the difference between independent sample means relative to the variability of the individual sample means?

Corporate sustainability of CPA firms. Refer to the Business and Society (March 2011) study on the sustainability behaviors of CPA corporations, Exercise 2.23 (p. 83). Recall that the level of support for corporate sustainability (measured on a quantitative scale ranging from 0 to 160 points) was obtained for each of 992 senior managers at CPA firms. The accompanying Minitab printout gives the mean and standard deviation for the level of support variable. It can be shown that level of support is approximately normally distributed.

a. Find the probability that the level of support for corporate sustainability of a randomly selected senior manager is less than 40 points.

b. Find the probability that the level of support for corporate sustainability of a randomly selected senior manager is between 40 and 120 points.

c. Find the probability that the level of support for corporate sustainability of a randomly selected senior manager is greater than 120 points.

d. One-fourth of the 992 senior managers indicated a level of support for corporate sustainability below what value?

Descriptive Statistics: Support

Variables

N

Mean

StDev

Variance

Minimum

Maximum

Range

Support

992

67.755

26.871

722.036

0.000

155.000

155.000

Drug content assessment. Scientists at GlaxoSmithKlineMedicines Research Center used high-performance liquidchromatography (HPLC) to determine the amountof drug in a tablet produced by the company (Analytical

Chemistry, Dec. 15, 2009). Drug concentrations (measuredas a percentage) for 50 randomly selected tablets are listedin the table below and saved in the accompanying file.

a. Descriptive statistics for the drug concentrations areshown at the top of the XLSTAT printout on the nextpage. Use this information to assess whether the dataare approximately normal.

b. An XLSTAT normal probability plot follows. Use thisinformation to assess whether the data are approximatelynormal.

91.28 92.83 89.35 91.90 82.85 94.83 89.83 89.00 84.62

86.96 88.32 91.17 83.86 89.74 92.24 92.59 84.21 89.36

90.96 92.85 89.39 89.82 89.91 92.16 88.67 89.35 86.51

89.04 91.82 93.02 88.32 88.76 89.26 90.36 87.16 91.74

86.12 92.10 83.33 87.61 88.20 92.78 86.35 93.84 91.20

93.44 86.77 83.77 93.19 81.79

Descriptive statistics(Quantitative data)

Statistic

Content

Nbr.of Observation

50

Minimum

81.79

Maximum

94.83

1st Quartile

87.2725

Median

89.375

3rd Quartile

91.88

Mean

89.2906

Variance(n-1)

10.1343

Standard deviation(n-1)

3.1834

Independent random samples from normal populations produced the results shown in the next table.

Sample 1


Sample 2

1.23.11.72.83.0

4.22.73.63.9

a. Calculate the pooled estimate of σ2.

b. Do the data provide sufficient evidence to indicate that μ2&²µ³Ù;μ1? Test using α=.10.

c. Find a 90% confidence interval for (μ1−μ2).

d. Which of the two inferential procedures, the test of hypothesis in part b or the confidence interval in part c, provides more information about (μ1−μ2)?

A paired difference experiment yielded ndpairs of observations. In each case, what is the rejection region for testing H0:μd>2?

a. nd=12,α=.05

b.nd=24,α=.10

c.nd=4,α=.025

d.nd=80,α=.01

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