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History of corporate acquisitions. Refer to the Academy of Management Journal (August 2008) investigation of the performance and timing of corporate acquisitions, Exercise 2.12 (p. 74). Recall that the investigation discovered that in a random sample of 2,778 firms, 748 announced one or more acquisitions during the year 2000. Does the sample provide sufficient evidence to indicate that the true percentage of all firms that announced one or more acquisitions during the year 2000 is less than 30%? Use a=0.05to make your decision.

Short Answer

Expert verified

There is enough evidence to claim that the percentage of all firms that announced one or more acquisitions during the year 2000 is less than 30%.

Step by step solution

01

Given information

The number of firms sampled during the year 2000, n= 2778.

The number with acquisitions during the year 2000, x= 748.

The significance level,a=0.05.

02

State the condition required for a valid large sample Hypothesis test for p.

The condition required for a valid large sample hypothesis test is given as follows:

⦁ A random sample is selected from a binomial population.

⦁ The sample size n is large (The condition will be satisfied if both np0=15 and nq0=15)

03

Compute the sample proportion and null hypothesized proportion.

The sample proportion is calculated as:


p^=xn=7482778=0.27

The null hypothesized proportion is calculated as:

p0=30100=0.3

04

Compute the test statistic and obtain the conclusion.

The null hypothesis is that the true percentage of all firms that announced one or more acquisitions during the year 2000 is not less than 30%.

i.e.H0:p=0.3

The alternative hypothesis is that the percentage of all firms that announced one or more acquisitions during the year 2000 is less than 30%.

i.e; Ha:p<0.3

The significance level is,a=0.05.

The test statistic is computed as follows:

Zc=(p^-p0)p0q0n=(0.27-0.3)0.3(1-0.3)2778=-3.45

This is a one-tailed hypothesis. The Zavalue for a=0.05is calculated from the standard normal table is 1.645.

The rejection region is Zc<-Za-3.45<-1.645. So; we reject the null hypothesis.

Hence, there is enough evidence to claim that the percentage of all firms that announced one or more acquisitions during the year 2000 is less than 30%.

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Most popular questions from this chapter

The gender diversity of a large corporation’s board of directors was studied in Accounting & Finance (December 2015). In particular, the researchers wanted to know whether firms with a nominating committee would appoint more female directors than firms without a nominating committee. One of the key variables measured at each corporation was the percentage of female board directors. In a sample of 491firms with a nominating committee, the mean percentage was 7.5%; in an independent sample of 501firms without a nominating committee, the mean percentage was role="math" localid="1652702402701" 4.3% .

a. To answer the research question, the researchers compared the mean percentage of female board directors at firms with a nominating committee with the corresponding percentage at firms without a nominating committee using an independent samples test. Set up the null and alternative hypotheses for this test.

b. The test statistic was reported as z=5.1 with a corresponding p-value of 0.0001. Interpret this result if α=0.05.

c. Do the population percentages for each type of firm need to be normally distributed for the inference, part b, to be valid? Why or why not?

d. To assess the practical significance of the test, part b, construct a 95% confidence interval for the difference between the true mean percentages at firms with and without a nominating committee. Interpret the result.

Refer to the Archives of Paediatrics and Adolescent Medicine (Dec. 2007) study of honey as a children’s cough remedy, Exercise 2.31 (p. 86). Children who were ill with an upper respiratory tract infection and their parents participated in the study. Parents were instructed to give their sick child dosage of liquid “medicine” before bedtime. Unknown to the parents, some were given a dosage of dextromethorphan (DM)—an over-the-counter cough medicine—while others were given a similar dose of honey. (Note: A third group gave their children no medicine.) Parents then rated their children’s cough symptoms, and the improvement in total cough symptoms score was determined for each child. The data (improvement scores) for the 35 children in the DM dosage group and the 35 in the honey dosage group are reproduced in the next table. Do you agree with the statement (extracted from the article), “Honey may be a preferable treatment for the cough and sleep difficulty associated with childhood upper respiratory tract infection”? Use the comparison of the two means methodology presented in this section to answer the question.

The data is given below:

Honey Dosage:

12111511101310415169141061081112128129111510159138121089512

DM Dosage:

469477791210116349781212412137101394410159126

Given the following values of x, s, and n, form a 90% confidence interval forσ2

a. x=21,s=2.5,n=50

b. x=1.3,s=0.02,n=15

c. x=167,s=31,n=22

d.x=9.4,s=1.5,n=5


Conducting a political poll. A pollster wants to estimate the difference between the proportions of men and women who favor a particular national candidate using a 90% confidence interval of width .04. Suppose the pollster has no prior information about the proportions. If equal numbers of men and women are to be polled, how large should the sample sizes be?

Patron amenability to supply biomass. Relate to the Biomass and Energy (Vol. 36, 2012) study of the amenability of directors to supply biomass products similar to fat hay, Exercise8.20 (p. 469). Recall that independent samples of Missouri directors and Illinois directors were surveyed. Another aspect of the study concentrated on the service directors who were willing to supply. One essential service involves windrowing (mowing and piling) hay. Of the 558 Missouri directors surveyed, 187 were willing to offer windrowing. Of the 940 Illinois directors surveyed, 380 were willing to offer windrowing services. The experimenters want to know if the proportion of directors willing to offer windrowing services to the biomass request differs for the two areas, Missouri and Illinois.

a. Specify the parameter of interest to the experimenters.

b. Set up the null and indispensable suppositions for testing whether the proportion of directors willing to offer windrowing services differs in Missouri and Illinois.

c. A Minitab analysis of the data is given below. Detect the test statistic on the printout.

d. provide the rejection region for the test using a = .01.

e. Detect the p- the value of the test on the printout.

f. Make the applicable conclusion using both the p-value and rejection region approach. Your conclusions should agree.

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