# Mathematics

1. TABLE 11-3
A realtor wants to compare the average sales-to-appraisal ratios of residential properties sold in four neighborhoods (A, B, C, and D). Four properties are randomly selected from each neighborhood and the ratios recorded for each, as shown below. A: 1.2, 1.1, 0.9, 0.4 C: 1.0, 1.5, 1.1, 1.3 Interpret the results of the analysis summarized in the following table: Referring to Table 11-3, the among-group degrees of freedom is [removed]A) 3.
A realtor wants to compare the average sales-to-appraisal ratios of residential properties sold in four neighborhoods (A, B, C, and D). Four properties are randomly selected from each neighborhood and the ratios recorded for each, as shown below. A: 1.2, 1.1, 0.9, 0.4 C: 1.0, 1.5, 1.1, 1.3 Interpret the results of the analysis summarized in the following table: Referring to Table 11-3, the within-group sum of squares is [removed]A) 1.0606.
[removed]A) has one factor and one block and multiple values.
[removed]A) MSA/MSW.
An airline wants to select a computer software package for its reservation system. Four software packages (1, 2, 3, and 4) are commercially available. The airline will choose the package that bumps as few passengers, on the average, as possible during a month. An experiment is set up in which each package is used to make reservations for 5 randomly selected weeks. (A total of 20 weeks was included in the experiment.) The number of passengers bumped each week is obtained, which gives rise to the following Excel output: ANOVA Referring to Table 11-2, the within groups degrees of freedom is [removed]A) 19.
A physician and president of a Tampa Health Maintenance Organization (HMO) are attempting to show the benefits of managed health care to an insurance company. The physician believes that certain types of doctors are more cost-effective than others. One theory is that Primary Specialty is an important factor in measuring the cost-effectiveness of physicians. To investigate this, the president obtained independent random samples of 20 HMO physicians from each of 4 primary specialties – General Practice (GP), Internal Medicine (IM), Pediatrics (PED), and Family Physicians (FP) – and recorded the total charges per member per month for each. A second factor which the president believes influences total charges per member per month is whether the doctor is a foreign or USA medical school graduate. The president theorizes that foreign graduates will have higher mean charges than USA graduates. To investigate this, the president also collected data on 20 foreign medical school graduates in each of the 4 primary specialty types described above. So information on charges for 40 doctors (20 foreign and 20 USA medical school graduates) was obtained for each of the 4 specialties. The results for the ANOVA are summarized in the following table.
Referring to Table 11-5, what assumption(s) need(s) to be made in order to conduct the test for differences between the mean charges of foreign and USA medical school graduates? [removed]A) The charges in each group of doctors sampled are drawn from normally distributed populations.
Many companies use well-known celebrities as spokespersons in their TV advertisements. A study was conducted to determine whether brand awareness of female TV viewers and the gender of the spokesperson are independent. Each in a sample of 300 female TV viewers was asked to identify a product advertised by a celebrity spokesperson. The gender of the spokesperson and whether or not the viewer could identify the product was recorded. The numbers in each category are given below.
Referring to Table 12-2, at 5% level of significance, the critical value of the test statistic is: [removed]A) 3.8415
An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds. She plants all 3 varieties of the seeds on each of 5 different patches of fields. She then measures the crop yield in bushels per acre. Treating this as a randomized block design, the results are presented in the table that follows.
Referring to Table 12-18, the null hypothesis for the Friedman rank test is [removed]A)
Parents complain that children read too few storybooks and watch too much television nowadays. A survey of 1,000 children reveals the following information on average time spent watching TV and average time spent reading storybooks. Average time spent reading story books
Referring to Table 12-10, we want to test whether there is any relationship between average time spent watching TV and average time spent reading storybooks. Suppose the value of the test statistic was 164 (which is not the correct answer) and the critical value was 19.00 (which is not the correct answer), then we could conclude that [removed]A) there is no connection between time spent reading storybooks and time spent watching TV.
A computer used by a 24-hour banking service is supposed to randomly assign each transaction to one of 5 memory locations. A check at the end of a day’s transactions gave the counts shown in the table for each of the 5 memory locations, along with the number of reported errors.
The bank manager wanted to test whether the proportion of errors in transactions assigned to each of the 5 memory locations differ. Referring to Table 12-3, the critical value of the test statistic at 1% level of significance is: [removed]A) 13.2767
[removed]A) 12
A large national bank charges local companies for using their services. A bank official reported the results of a regression analysis designed to predict the bank’s charges (
The results of the simple linear regression are provided below. = -2,700 + 20 p value = 0.034 (for testing β_{1})Referring to Table 13-1, interpret the estimate of σ, the standard deviation of the random error term (standard error of the estimate) in the model. [removed]A) For every $1 million increase in sales revenue, we expect a service charge to increase $65.
[removed]A) must have opposite signs.
[removed]A) 0.256/2
[removed]A) the slope (
[removed]A) cannot be negative.
A microeconomist wants to determine how corporate sales are influenced by capital and wage spending by companies. She proceeds to randomly select 26 large corporations and record information in millions of dollars. The Microsoft Excel output below shows results of this multiple regression. SUMMARY OUTPUT
ANOVA
Referring to Table 14-5, what fraction of the variability in sales is explained by spending on capital and wages? [removed]A) 68.9%
A manager of a product sales group believes the number of sales made by an employee (
Referring to Table 14-1, if an employee who had been with the company 5 years scored a 9 on the aptitude test, what would his estimated expected sales be? [removed]A) 60.88
A regression analysis was performed with CONS as the dependent variable and ln(CRDTLIM), ln(APR), ln(ADVT), and SEX as the independent variables. The estimated model was = 2.28 – 0.29 ln(CRDTLIM) + 5.77 ln(APR) + 2.35 ln(ADVT) + 0.39 SEX What is the correct interpretation for the estimated coefficient for SEX? [removed]A) Holding everything else fixed, personal consumption for females is estimated to be 0.39% higher than males on the average.
[removed]A) to overcome violations of the homoscedasticity assumption.
[removed]A) the hat matrix elements [removed]B) the C statistic_{p}[removed]C) the Studentized deleted residuals t_{i}[removed]D) Cook’s distance statistic
A certain type of rare gem serves as a status symbol for many of its owners. In theory, for low prices, the demand decreases as the price of the gem increases. However, experts hypothesize that when the gem is valued at very high prices, the demand increases with price due to the status owners believe they will gain by obtaining the gem. Thus, the model proposed to best explain the demand for the gem by its price is the quadratic model: This model was fit to data collected for a sample of 12 rare gems of this type. A portion of the computer analysis obtained from Microsoft Excel is shown below: SUMMARY OUTPUT
ANOVA
Referring to Table 15-2, what is the value of the test statistic for testing whether there is an upward curvature in the response curve relating the demand ( [removed]A) -5.14
The problem with your model is that [removed]A) the irregular component has not been accounted for. |