Betting the Spreads. College basketball, and particularly the NCAA basketball tournament, is a popular venue for gambling, from novices in office betting pools to high rollers. To encourage uniforn betting across teams, Las Vegas oddsmakers assign a point spread to each game. The point spread is the oddsmakers" prediction for th number of points by which the favored team will win. If you bet of the favorite, you win the bet provided the favorite wins by more than the point spread; otherwise, you lose the bet. Is the point spread a good measure of the relative ability of the two teams? H. Stern and B. Mock addressed this question in the paper "College Basketball Upsets: Will a 16-Seed Ever Beat a 1-Seed?" (Chance, Vol. 11(1), pp. 27-31). They obtained the difference between the actual margin of victory and the point spread, called the point-spread error, for 2109 college basketball games. The mean point-spread error was found to be −0.2 point with a standard deviation of10.9 points. For a particular game, a point-spread error of 0 indicates that the point spread was a perfect estimate of the two teams' relative abilities.
(a) If, on average, the oddsmakers are estimating correctly, what is the (population) mean point-spread error?
(b) Use the data to decide, at the 5% significance level, whether the (population) mean point-spread error differs from 0 .
c) Interpret your answer in part (b).

Short Answer

Expert verified

(a)0points

(b)p>0.05=5%,H0will not rejected

(c) The data are insufficient to determine that the population mean point-spread error is greater than zero.

Step by step solution

01

Part (a) Given information

With a standard deviation of 10.9 points, the mean point-spread error was found to be 0.2 point. A point-spread inaccuracy of 0 means that the point spread was a flawless estimation of the two teams' relative talents for that particular game.
a. What is the (population) mean point-spread error if the oddsmakers estimate properly on average?

02

Explanation

Because the perfect estimate is 0 points, the population mean point-spread error is 0 points. As a result, the ideal estimate of the mean point spread error is 0 points.

03

Part(b) Step 1: To find

By the 5%significance level, the mean point spread error.

04

Given information

With a standard deviation of 10.9 points, the mean point-spread error was found to be 0.2 point. A point-spread inaccuracy of 0 means that the point spread was a flawless estimation of the two teams' relative talents for that particular game.
b. Using the data, determine whether the population mean point spread error differs from 0at the 5%significance level.
05

Calculation

The t test will be used first at the 5%significance level (since the sample is quite large and the distribution is approximately normal):
H0:μ=0,Ha:μ0
Find the t-value now:
t=0.2010.9/21090.84
Using table IV , find the corresponding P- value:
P>2×0.10=0.20
Reject the null hypothesis if the P-value is less than or equal to the significance level:
P>0.05=5%,
Do not reject width="21" height="24" role="math">H0
Then, the solution is P>0.05=5%
Hoshould not be rejected.
06

Part (c) Step 1: Given information

To locate the part's interpretation (b).

07

Explanation

Given that,
With a standard deviation of 10.9 points, the mean point-spread error was found to be0.2 point. A point-spread inaccuracy of 0means that the point spread was a flawless estimation of the two teams' relative talents for that particular game.
c. Partially interpret your response (b).
Calculation:
The data are insufficient to determine that the population mean point-spread error is greater than zero.

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Most popular questions from this chapter

Beef Consumption. According to Food Consumption, Prices,\and Expenditures, published by the U.S. Department of Agriculture. the mean consumption of beef per person in 2011 was 57.5 lb. A sample of 40 people taken this year yielded the data, in pounds, on last year's beef consumption given on the Weiss Stats site. Use the technology of your choice to do the following.

a. Obtain a normal probability plot, a boxplot, a histogram, and a stem-and-leaf diagram of the data on beef consumptions.

b. Decide, at the 5% significance level, whether last year's mean beef consumption is less than the 2011 mean of 57.5 lb. Apply the one mean t-test.

c. The sample data contain four potential outliers: 0, 0, 0, and 13.Remove those four observations, repeat the hypothesis test in part (b), and compare your result with that obtained in part (b).

d. Assuming that the four potential outliers are not recording errors, comment on the advisability of removing them from the sample data before performing the hypothesis test.

e. What action would you take regarding this hypothesis test?

9.95 Two-Tailed Hypothesis Tests and CIs. As we mentioned on page 378 , the following relationship holds between hypothesis tests and confidence intervals for one-mean z-procedures: For a two-tailed hypothesis test at the significance level α, the null hypothesis H0:μ=μ0 will be rejected in favor of the alternative hypothesis Ha:μμ0if and only if μ0 lies outside the (1-α)-level confidence interval for μ. In each case, illustrate the preceding relationship by obtaining the appropriate one-mean z-interval (Procedure 8.1 on page 322 ) and comparing the result to the conclusion of the hypothesis test in the specified exercise.
a. Exercise 9.84
b. Exercise 9.87

9.89 Job Gains and Losses. In the article "Business Employment Dynamics: New Data on Gross Job Gains and Losses" (Monthly Labor Review, Vol. 127. Issue 4. pp. 29-42). J. Spletzer et al. examined gross job gains and losses as a percentage of the average of previous and current employment figures. A simple random sample of 20 quarters provided the net percentage gains (losses are negative gains) for jobs as presented on the WeissStats site. Use the technology of your choice to do the following.
a. Decide whether, on average, the net percentage gain for jobs exceeds 0.2. Assume a population standard deviation of 0.42. Apply the one-mean z-test with a 5% significance level.
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Purse Snatching. The Federal Bureau of Investigation (FBI) compiles information on robbery and property crimes by type and selected characteristic and publishes its findings in Uniform Crime Reports. According to that document, the mean value lost to purse snatching was 468in 2012. For last year, 12randomly selected purse-snatching offenses yielded the following values lost, to the nearest dollar.

Use a t-test to decide, at the5%significance level, whether last year's mean value lost to purse snatching has decreased from the 2012mean. The mean and standard deviation of the data are 455.0and 86.8, respectively.

In the given exercise, we have provided a sample mean, sample size, and population standard. In each case, use the one-mean z-test to perform the required hypothesis test at the 5% significance level.

x=20,n=24,σ=4,H0:μ=22,Ha:μ22
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