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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

Short Answer

Expert verified

a. The data is approximately normal.

b. The data is approximately normal.

Step by step solution

01

Given information

Drug concentrations (measured as a percentage) for 50 randomly selected tablets are listed as follows:

The first quantile is 87.2725

Q1=87.2725

The third quantile is 91.88

Q2=91.88

The Standard deviation s=3.1834.

02

Checking of normality using a numerical measure

a.

IQRs=Q3-Q1s=91.88-87.27253.1834=1.4474

Here, the value of IQR/s is approximately 1.3

So, we can conclude that the data is approximately normal.

03

Checking of normality using graph

b.

From the graph, it is seen that approximately all data points fall into a straight line.

So, we can conclude that the data is approximately normal.

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Most popular questions from this chapter

Refer to the Archives of Paediatrics and Adolescent Medicine (Dec. 2007) study of honey as a childrenโ€™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 โ€œmedicineโ€ before bedtime. Unknown to the parents, some were given a dosage of dextromethorphan (DM)โ€”an over-the-counter cough medicineโ€”while others were given a similar dose of honey. (Note: A third group gave their children no medicine.) Parents then rated their childrenโ€™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), โ€œHoney may be a preferable treatment for the cough and sleep difficulty associated with childhood upper respiratory tract infectionโ€? 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

Question: Refer to the Bulletin of Marine Science (April 2010) study of lobster trap placement, Exercise 6.29 (p. 348). Recall that the variable of interest was the average distance separating trapsโ€”called trap-spacingโ€”deployed by teams of fishermen. The trap-spacing measurements (in meters) for a sample of seven teams from the Bahia Tortugas (BT) fishing cooperative are repeated in the table. In addition, trap-spacing measurements for eight teams from the Punta Abreojos (PA) fishing cooperative are listed. For this problem, we are interested in comparing the mean trap-spacing measurements of the two fishing cooperatives.

BT Cooperative

93

99

105

94

82

70

86

PA Cooperative

118

94

106

72

90

66

98


Source: Based on G. G. Chester, โ€œExplaining Catch Variation Among Baja California Lobster Fishers Through Spatial Analysis of Trap-Placement Decisions,โ€ Bulletin of Marine Science, Vol. 86, No. 2, April 2010 (Table 1).

a. Identify the target parameter for this study.b. Compute a point estimate of the target parameter.c. What is the problem with using the normal (z) statistic to find a confidence interval for the target parameter?d. Find aconfidence interval for the target parameter.e. Use the interval, part d, to make a statement about the difference in mean trap-spacing measurements of the two fishing cooperatives.f. What conditions must be satisfied for the inference, part e, to be valid?

The gender diversity of a large corporationโ€™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 ฮฑ=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.

Studies have established that rudeness in the workplace can lead to retaliatory and counterproductive behaviour. However, there has been little research on how rude behaviours influence a victimโ€™s task performance. Such a study was conducted, and the results were published in the Academy of Management Journal (Oct. 2007). College students enrolled in a management course were randomly assigned to two experimental conditions: rudeness condition (students) and control group (students). Each student was asked to write down as many uses for a brick as possible in minutes. For those students in the rudeness condition, the facilitator displayed rudeness by generally berating students for being irresponsible and unprofessional (due to a late-arriving confederate). No comments were made about the late-arriving confederate to students in the control group. The number of different uses for brick was recorded for each student and is shown below. Conduct a statistical analysis (at ฮฑ=0.01) to determine if the true mean performance level for students in the rudeness condition is lower than the actual mean performance level for students in the control group.

The data is given below

Control Group:

124516217201920191023160491317130212117311119912185213015421211101311361013161228191230


Rudeness Condition:

411181196511912757311191110789107114135478381591610071513921310

A random sample of n observations is selected from a normal population to test the null hypothesis that ฯƒ2=25. Specify the rejection region for each of the following combinations of Ha,ฮฑand n.

a.Ha:ฯƒ2โ‰ 25;ฮฑ=0.5;n=16

b.Ha:ฯƒ2>25;ฮฑ=.10;n=15

c.Ha:ฯƒ2>25;ฮฑ=.01;n=23

d. Ha:ฯƒ2<25;ฮฑ=.01;n=13

e. Ha:ฯƒ2โ‰ 25;ฮฑ=.10;n=7

f. Ha:ฯƒ2<25;ฮฑ=.05;n=25

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