/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q13E Question: The speed with which c... [FREE SOLUTION] | 91影视

91影视

Question: The speed with which consumers decide to purchase a product was investigated in the Journal of Consumer Research (August 2011). The researchers theorized that consumers with last names that begin with letters later in the alphabet will tend to acquire items faster than those whose last names begin with letters earlier in the alphabet鈥攃alled the last name effect. MBA students were offered free tickets to an event for which there was a limitedsupply of tickets. The first letter of the last name of those who responded to an email offer in time to receive the tickets was noted as well as the response time (measured in minutes). The researchers compared the response times for two groups of MBA students: (1) those with last names beginning with one of the first nine letters of the alphabet and (2) those with last names beginning with one of the last nine letters of the alphabet. Summary statistics for the two groups are provided in the table.

First 9

Letters: A鈥揑

Last 9

Letters: R鈥揨

Sample size

25

25

Mean response time (minutes)

25.08

19.38

Standard deviation (minutes)

10.41

7.12

Source: Based on K. A. Carlson and J. M. Conrad, 鈥淭he Last Name Effect: How Last Name Influences Acquisition Timing,鈥 Journal of Consumer Research, Vol. 38, No. 2, August 2011.

a. Construct a 95% confidence interval for the difference between the true mean response times for MBA students in the two groups.

b. Based on the interval, part a, which group has the shorter mean response time? Does this result support the researchers鈥 last name effect theory? Explain.

Short Answer

Expert verified

Answer

A confidence interval expresses the level of uncertainty in a given data.

Step by step solution

01

(a) Find confidence interval.

n1=25,n2=25,x1=25.08,x2=19.381=10.41,2=7.12

The degree of freedom will be

=n1+n2-2=25+25-2=48

From the t-distribution table, the critical value at 0.05 thelevel of significance for 48 degrees of freedom is 2.011.

The pooled standard deviation is

sp=n1-112+n2-122n1+n2-2=25-110.412+25-17.12225+25-2=3817.548=8.92

The 95% confidence interval for the difference in means

=x1-x2t/2sp1n1+1n2=25.08-19.382.0118.92125+125=5.75.07

Thus, the confidence interval for means difference is0.63to 10.77

02

(b) Give a conclusion.

The 95%confidence interval contains only positive numbers and does not contain zero, which shows that there is a significant difference between the two groups.

This result supports the researcher's "last name effect" theory that the mean response time for the students whose last names begin with the letters R - Z is shorter than the mean response time for the students whose last names begin with the letters A - I.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Intrusion detection systems. The Journal of Researchof the National Institute of Standards and Technology (November鈥揇ecember 2003) published a study of a doubleintrusion detection system with independent systems. Ifthere is an intruder, system A sounds an alarm with probability.9, and system B sounds an alarm with probability.95. If there is no intruder, system A sounds an alarm withprobability .2, and system B sounds an alarm with probability.1. Now assume that the probability of an intruderis .4. Also assume that under a given condition (intruderor not), systems A and B operate independently. If bothsystems sound an alarm, what is the probability that anintruder is detected?

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 data for a random sample of 10 paired observations is shown below.

PairSample from Population 1

(Observation 1)

Sample from Population 2 (Observation 2)
12345678910
19253152493459471751
24273653553466512055

a. If you wish to test whether these data are sufficient to indicate that the mean for population 2 is larger than that for population 1, what are the appropriate null and alternative hypotheses? Define any symbols you use.

b. Conduct the test, part a, using伪=.10.

c. Find a 90%confidence interval for d. Interpret this result.

d. What assumptions are necessary to ensure the validity of this analysis?

The 鈥渨inner鈥檚 curse鈥 in transaction bidding. In transaction bidding, the 鈥渨inner鈥檚 curse鈥 is the miracle of the winning (or loftiest) shot price being above the anticipated value of the item being auctioned. The Review of Economics and Statistics (Aug. 2001) published a study on whether shot experience impacts the liability of the winner鈥檚 curse being. Two groups of a stab in a sealed-shot transaction were compared (1)super-experienced stab and (2) less educated stab. In the super-experienced group, 29 of 189 winning flings were above the item鈥檚 anticipated value; 32 of 149 winning flings were above the item鈥檚 anticipated value in the less-educated group.

  1. Find an estimate of p1, the true proportion of super educated stab who fell prey to the winner鈥檚 curse
  2. Find an estimate of p2, the true proportion of less-educated stab who fell prey to the winner鈥檚 curse.
  3. Construct a 90 confidence interval for p1-p2.
  4. d. Give a practical interpretation of the confidence interval, part c. Make a statement about whether shot experience impacts the liability of the winner鈥檚 curse being.

Independent random samples from two populations with standard deviations 1=2补苍诲蟽2=8, respectively, are selected. The sample sizes and the sample means are recorded in the following table:

Sample 1

Sample 2

n1=58x1=17.5

n2=62x2=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.

c. Suppose you were to calculate the difference between the sample means (x1x2). Find the mean and standard error of the sampling distribution (x1x2).

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

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.