BUS 77815 | Course Paper

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Suppose 30% of the U.S. population has green eyes. If a random sample of size 1200

U.S. citizens is drawn, then the probability that less than 348 U.S. citizens have green

eyes is _______.

a) 0.2236

b) 0.2764

c) 0.2900

d) 0.7764

e) 0.3336

When constructing a weighted aggregate price index, the weights usually are _____.

a) prices of substitute items

b) prices of complementary items

c) quantities of the respective items

d) squared quantities of the respective items

e) quality of individual items

A researcher is testing a hypothesis of a single mean. The critical zvalue for = .05 and a

two”tailed test is +1.96. The observed zvalue from sample data is -2.11. The decision

made by the researcher based on this information is to _____ the null hypothesis.

a) reject

b) fail to reject

c) redefine

d) change the alternate hypothesis into

e) restate the null hypothesis

Use the following set of observed frequencies to test the independence of the two

variables. Variable one has values of ‘A’ and ‘B’; variable two has values of ‘C’, ‘D’, and

‘E’.

Using



= 0.05, the critical chi-square value is _______.

a) 9.488

b) 1.386

c) 8.991

d) 3.357

e) 5.991

Discrete Components, Inc. manufactures a line of electrical resistors. Presently, the

carbon composition line is producing 100 ohm resistors. The population variance of

these resistors “must not exceed 4” to conform to industry standards. Periodically, the

quality control inspectors check for conformity by randomly selecting 10 resistors from

the line, and calculating the sample variance. The last sample had a variance of 4.36.

Assume that the population is normally distributed. Using = 0.05, the null hypothesis is

_________________.

a) = 100

b) 10

c) s24

d) 2= 4

e) n= 100

You are conducting a study on the blood glucose levels of 9 patients who are on strict

diets and exercise routines. To monitor the mean and range of the blood glucose levels

of your patients, you take a blood glucose reading every day for each patient for 20

days. The results are shown below. The mean of the 9 sample means is 101.03, and the

mean of the 9 ranges is 86.9. The results are shown below.

From the chart we conclude that________.

a) the glucose level is not in control for the nine patients on the diet and exercise

program.

b) the glucose level means over the 20-day period fall within the control limits for the

nine patients on the diet and exercise program.

c) exactly one mean is out of the control limits

d) some of the patients are not on a strict diet and exercise routine.

e) exactly two patients are out of the control limits

Dorothy Little purchased a mailing list of 2,000 names and addresses for her mail order

business, but after scanning the list she doubts the authenticity of the list. She randomly

selects five names from the list for validation. If 40% of the names on the list are

non-authentic, and x is the number of non-authentic names in her sample, P(x<2) is

______________.

a) 0.3370

b) 0.9853

c) 0.9785

d) 0.2333

e) 0.5000

A multiple regression analysis produced the following tables.

The sample size for this analysis is ____________.

a) 19

b) 17

c) 34

d) 15

e) 18

The number of bags arriving on the baggage claim conveyor belt in a 3 minute time

period would best be modeled with the _________.

a) binomial distribution

b) hypergeometric distribution

c) Poisson distribution

d) hyperbinomial distribution

e) exponential distribution

Suppose a researcher is interested in understanding the variation in the price of store

brand milk. A random sample of 36 grocery stores selected from a population and the

mean price of store brand milk is calculated. The sample mean is $3.13 with a standard

deviation of $0.23. Construct a 95% confidence interval to estimate the population

mean.

a) $3.03 to $3.23

b) $3.12 to $3.14

c) $3.05 to $3.21

d) $2.90 to $3.36

e) $3.06 to $3.20

For the following ANOVA table, the critical value of the studentized range distribution

using



= 0.05 is ______

a) 1.86

b) 3.94

c) 9.17

d) 1.65

e) 1.79

If the population proportion is 0.90 and a sample of size 64 is taken, what is the

probability that the sample proportion is more than 0.89?

a) 0.1064

b) 0.2700

c) 0.3936

d) 0.6064

e) 0.9000

Suppose the owners of a new bed and breakfast establishment are interested in

conducting an experiment to determine effective advertisement strategies for increasing

the number of reservations. The bed and breakfast owners intend to rotate

advertisements for 12 weeks between a travel website, a travel magazine and a local

billboard. Customers making reservations will be asked if they saw the advertisement.

In this experiment, the independent variable is ________________.

a. advertisement venue

b. bed and breakfast establishment

c. travel website

d. number of reservations

e. number of customer calls

If x, the time (in minutes) to complete an change job at certain auto service station, is

uniformly distributed over the interval 20 to 30, inclusively (20 x 30), then the

probability that an oil change job is completed in 21.75 to 24.25 minutes, inclusively,

i.e., P(21.75 x 24.25) is __________________.

a) 0.250

b) 0.333

c) 0.375

d) 0.000

e) 1.000

The ages of students in a class have been put into the frequency distribution below.

What is the standard deviation for this (population) set of data?

a) 0.494

b) 0.703

c) 1.12

d) 1.25

e) 1.35

Medical Wonders is a specialized interior design company focused on healing artwork.

The CEO, Kathleen Kelledy claims that artwork has healing effects for patients staying

in a hospital, as measured by reduced length of stay. Her current client is a children’s

cancer hospital. Kathleen is interested in determining the effect of three different pieces

of healing artwork on children. She chooses three paintings (a horse photo, a bright

abstract, and a muted beach scene) and randomly assigns six hospital rooms to each

painting. In Kathleen’s experimental design “painting style” is _______.

a) the dependent variable

b) a concomitant variable

c) a treatment variable

d) a blocking variable

e) a response variable

A researcher is interested in estimating the difference in two population proportions. A

sample of 400 from each population results in sample proportions of .61 and .64. A 90%

confidence interval for the difference in the population proportions is _______.

a) -0.10 to 0.04

b) -0.09 to 0.03

c) -0.11 to 0.05

d) -0.07 to 0.01

e) -0.08 to 0.12

Jim Royo, manager of Billings Building Supply (BBS), wants to develop a model to

forecast BBS’s monthly sales (in $1,000’s). He selects the dollar value of residential

building permits (in $10,000) as the predictor variable. An analysis of the data yielded

the following tables.

Using



= 0.05 the critical value of the Durbin-Watson statistic, dL,is _________.

a) 1.24

b) 1.22

c) 1.13

d) 1.15

e) 1.85

Weighted aggregate price indexes are also known as _______.

a) unbalanced indexes

b) balanced indexes

c) value indexes

d) multiplicative indexes

e) overall indexes

Statistical techniques based on assumptions about the population from which the

sample data are selected are called _______.

a) population statistics

b) parametric statistics

c) nonparametric statistics

d) chi-square statistics

e) correlation statistics

Golf course designer Roberto Langabeer is evaluating two sites, Palmetto Dunes and

Ocean Greens, for his next golf course. He wants to prove that Palmetto Dunes

residents (population 1) play golf more often than Ocean Greens residents (population

2). Roberto commissions a market survey to test this hypothesis. The market researcher

used a random sample of 64 individuals from each suburb, and reported the following:

1= 16 times per month and 2= 14 times per month. Assume that

1= 4 and 2= 3. With a= .01, the observed zvalue is

_________________.

a) 18.29

b) 6.05

c) 5.12

d) 3.40

e) 3.20

One hundred policyholders file claims with CareFree Insurance. Ten of these claims are

fraudulent. Claims manager Earl Evans randomly selects four of the one hundred claims

for thorough investigation. If x represents the number of fraudulent claims in Earl’s

sample, x has a _______________ distribution.

a) continuous

b) normal

c) binomial

d) hypergeometric

e) exponential

Consider the following stem and leaf plot:

Suppose that a frequency distribution was developed from this, and there were 5 classes

(10-under 20, 20-under 30, etc.). What is the cumulative frequency for the 30-under 40

class interval?

a) 5

b) 9

c) 13

d) 14

e) 18

Suppose that .06 of each of two populations possess a given characteristic. Samples of

size 400 are randomly drawn from each population. What is the probability that the

differences in sample proportions will be greater than 0.02?

a) 0.4535

b) 0.9535

c) 0.1170

d) 0.5465

e) 0.4650

On Monday mornings, customers arrive at the coffee shop drive thru at the rate of 6

cars per fifteen minute interval. Using the Poisson distribution, the probability that five

cars will arrive during the next five minute interval is _____________.

a) 0.1008

b) 0.0361

c) 0.1339

d) 0.1606

e) 0.3610

Which scale of measurement has these two properties: linear distance is meaningful and

the location of origin (or zero point) is arbitrary?

a) Interval level

b) Ordinal level

c) Nominal level

d) Ratio level

e) Minimal level