MGT 569 Midterm 1 | Course Paper

Unlock access to all the studying documents.

View Full Document

TABLE 15-6

Given below are results from the regression analysis on 40 observations where the

dependent variable is the number of weeks a worker is unemployed due to a layoff (Y)

and the independent variables are the age of the worker (X1), the number of years of

education received (X2), the number of years at the previous job (X3), a dummy variable

for marital status (X4: 1 = married, 0 = otherwise), a dummy variable for head of

household (X5: 1 = yes, 0 = no) and a dummy variable for management position (X6: 1

= yes, 0 = no).

The coefficient of multiple determination ( ) for the regression model using each of

the 6 variables Xj as the dependent variable and all other X variables as independent

variables are, respectively, 0.2628, 0.1240, 0.2404, 0.3510, 0.3342 and 0.0993.

The partial results from best-subset regression are given below:

True or False: Referring to Table 15-6, there is reason to suspect collinearity between

some pairs of predictors based on the values of the variance inflationary factor.

True or False: If the sample sizes in each group is larger than 5, the Kruskal-Wallis rank

test statistic can be approximated by a standardized normal distribution.

TABLE 12-11

The director of admissions at a state college is interested in seeing if admissions status

(admitted, waiting list, denied admission) at his college is independent of the type of

community in which an applicant resides. He takes a sample of recent admissions

decisions and forms the following table:

He will use this table to do a chi-square test of independence with a level of

significance of 0.01.

True or False: Referring to Table 12-11, the same decision would be made with this test

if the level of significance had been 0.05.

True or False: TABLE 17-10

Given below are results from the regression analysis where the dependent variable is

the number of weeks a worker is unemployed due to a layoff (Unemploy) and the

independent variables are the age of the worker (Age), the number of years of education

received (Edu), the number of years at the previous job (Job Yr), a dummy variable for

marital status (Married: 1 = married, 0 = otherwise), a dummy variable for head of

household (Head: 1 = yes, 0 = no) and a dummy variable for management position

(Manager: 1 = yes, 0 = no). We shall call this Model 1. The coefficient of partial

determination ( ) of each of the 6 predictors are, respectively,

0.2807, 0.0386, 0.0317, 0.0141, 0.0958, and 0.1201.

Model 2 is the regression analysis where the dependent variable is Unemploy and the

independent variables are Age and Manager. The results of the regression analysis are

given below:

Referring to Table 17-10, Model 1, we can conclude that, holding constant the effect of

the other independent variables, there is a difference in the mean number of weeks a

worker is unemployed due to a layoff between a worker who is married and one who is

not at a 5% level of significance if we use only the information of the 95% confidence

interval estimate for Î²4.

TABLE 10-5

To test the effectiveness of a business school preparation course, 8 students took a

general business test before and after the course. The results are given below.

True or False: Referring to Table 10-5, you must assume that the population of

difference scores is normally distributed.

Referring to Table 14-3, to test for the significance of the coefficient on aggregate price

index, the p-value is

A) 0.0001.

B) 0.8330.

C) 0.8837.

D) 0.9999.

TABLE 12-8

A study was conducted to determine whether the use of seat belts in motor vehicles

depends on the educational status of the parents. A sample of 792 children treated for

injuries sustained from motor vehicle accidents was obtained, and each child was

classified according to (1) parents’ educational status (College Degree or Non-College

Degree) and (2) seat belt usage (worn or not worn) during the accident. The number of

children in each category is given in the table below.

Referring to Table 12-8, which test would be used to properly analyze the data in this

experiment?

A) X2 test for independence

B) X2 test for differences among more than two proportions

C) Wilcoxon rank sum test for independent populations

D) Kruskal-Wallis rank test

For a sample size of 1, the sampling distribution of the mean will be normally

distributed

A) regardless of the shape of the population.

B) only if the shape of the population is symmetrical.

C) only if the population values are positive.

D) only if the population is normally distributed.

Referring to Table 14-3, the p-value for GDP is

TABLE 14-3

An economist is interested to see how consumption for an economy (in $ billions) is

influenced by gross domestic product ($ billions) and aggregate price (consumer price

index). The Microsoft Excel output of this regression is partially reproduced below.

A) 0.05.

B) 0.01.

C) 0.001.

D) None of the above.

Which of the following is an assumption required by the Analysis of Proportions

(ANOP)?

A) The variance of the groups is different.

B) The observations from each of the groups are assumed to be approximately normally

distributed.

C) The shape of the distribution of the observations from the groups is different.

D) The number of observations in each group has to be large.

TABLE 12-9

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 12-9, the degrees of freedom of the test statistic are

A) 1.

B) 2.

C) 4.

D) 299.

TABLE 19-1

The following payoff table shows profits associated with a set of 3 alternatives under 2

possible states of nature

Referring to Table 19-1, the opportunity loss for A3 when S2 occurs is

A) 0.

B) 4.

C) 5.

D) 6.

An investor wanted to forecast the price of a certain stock. He collected the mean daily

price for the stock over the past 10 years. Which of the following would be the most

appropriate analysis to perform?

A) The Marascuilo Procedure

B) The Tukey-Kramer Procedure

C) Least-squares forecasting with monthly or quarterly data

D) Autoregressive modeling

How many tissues should the Kimberly Clark Corporation package of Kleenex contain?

Researchers determined that 60 tissues is the mean number of tissues used during a

cold. Suppose a random sample of 100 Kleenex users yielded the following data on the

number of tissues used during a cold: = 52,

S = 22. Suppose the test statistic does fall in the rejection region at = 0.05. Which of

the following decisions is correct?

A) At = 0.05, you do not reject H0.

B) At = 0.05, you reject H0.

C) At = 0.10, you do not reject H0.

D) At = 0.10, you reject H0.

TABLE 17-10