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Evaluating a new drug. Merck Research Labs experimented to evaluate the effect of a new drug using the single-T swim maze. Nineteen impregnated dam rats were captured and allocated a dosage of 12.5 milligrams of the drug. One male and one female rat pup were randomly selected from each resulting litter to perform in the swim maze. Each pup was placed in the water at one end of the maze and allowed to swim until it escaped at the opposite end. If the pup failed to escape after a certain period, it was placed at the beginning of the maze and given another chance. The experiment was repeated until each pup accomplished three successful escapes. The table below reports the number of swims required by each pup to perform three successful escapes. Is there sufficient evidence of a difference between the mean number of swims required by male and female pups? Conduct the test (at a = .10). Comment on the assumptions required for the test to be valid.

Source: Copyright © 2012 by Merck Research Laboratories.

Short Answer

Expert verified

Test statistics are 0.4696

Step by step solution

01

Given data

H0:There is no statistically significant difference in the average number of swims needed by the male and female pups to complete three main escapes.

Ho:μ1-μ2=0

Hα: The average amount of swims needed by the male and female paps to complete three effective escapes differs significantly.

02

Under test statistics

Under H0test statistics:

t=x¯1-x¯2S1n12+S2n22=5.8947-5.52632.378192+2.4578192

=0.36840.1252+0.1292=0.36840.015625+0.016641=0.36840.032266=0.4696

03

Rejection region

Rejection regions aret>tα/2ort<-tα/2 where the tale is dependent on nd-1degrees of freedom. Degrees of freedom at a level of 0.10.

Because our test statistic is in the acceptance range, one cannot reject the null hypothesis and may infer that there is a 10% difference in the mean number of Swims necessary to complete four successful escapes by male or female pups.

04

Valid assumptions

Conditions required for valid small sample inferences aboutμ1-μ2

  1. The two samples are drawn at random from the two target populations in an independent way.
  2. The distributions of the sampled groups are roughly normal.
  3. The variations in the population are equivalent.

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Most popular questions from this chapter

Question:Quality control. Refer to Exercise 5.68. The mean diameter of the bearings produced by the machine is supposed to be .5 inch. The company decides to use the sample mean from Exercise 5.68 to decide whether the process is in control (i.e., whether it is producing bearings with a mean diameter of .5 inch). The machine will be considered out of control if the mean of the sample of n = 25 diameters is less than .4994 inch or larger than .5006 inch. If the true mean diameter of the bearings produced by the machine is .501 inch, what is the approximate probability that the test will imply that the process is out of control?

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

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?

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Independent random samples from two populations with standard deviations σ1=2andσ2=8, respectively, are selected. The sample sizes and the sample means are recorded in the following table:

Sample 1

Sample 2

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n2=62x¯2=16.23

a. Calculate the standard error of the sampling distribution for Sample 1.

b. Calculate the standard error of the sampling distribution for Sample 2.

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d. Will the statistic (x1x2) be normally distributed?

Enough money has been budgeted to collect independent random samples of size n1=n2=100from populations 1 and 2 to estimate localid="1664867109106" μ1-μ2. Prior information indicates that σ1=σ2=10. Have sufficient funds been allocated to construct a 90% confidence interval forμ1-μ2of width 5 or less? Justify your answer.

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