TABLE 19-6
A student wanted to find out the optimal strategy to study for a Business Statistics
exam. He constructed the following payoff table based on the mean amount of time he
needed to study every week for the course and the degree of difficulty of the exam.
From the information that he gathered from students who had taken the course, he
concluded that there was a 40% probability that the exam would be easy.
Referring to Table 19-6, what would be the expected profit if the student had perfect
information on whether the exam will be easy or difficult?
TABLE 11-3
As part of an evaluation program, a sporting goods retailer wanted to compare the
downhill coasting speeds of 4 brands of bicycles. She took 3 of each brand and
determined their maximum downhill speeds. The results are presented in miles per hour
in the table below.
Referring to Table 11-3, the within group variation or SSW is ________.
Referring to Table 14-14, the predicted mileage for a 200 horsepower,
4-cylinder car is ________.
TABLE 14-14
An automotive engineer would like to be able to predict automobile
mileages. She believes that the two most important characteristics
that affect mileage are horsepower and the number of cylinders (4 or
6) of a car. She believes that the appropriate model is
Y = 40 – 0.05X1 + 20X2 – 0.1X1X2
where X1 = horsepower
X2 = 1 if 4 cylinders, 0 if 6 cylinders
Y = mileage
TABLE 5-7
There are two houses with almost identical characteristics available for investment in
two different neighborhoods with drastically different demographic composition. The
anticipated gain in value when the houses are sold in 10 years has the following
probability distribution:
Referring to Table 5-7, what is the expected value gain for the house in neighborhood
A?
TABLE 4-11
A sample of 300 adults is selected. The contingency table below shows their registration
status and their preferred source of information on current events.
Referring to Table 4-11, if an adult is selected at random, what is the probability that
he/she is a registered voter who does not prefer to get his/her current information from
the internet?
TABLE 17-8
The superintendent of a school district wanted to predict the percentage of students
passing a sixth-grade proficiency test. She obtained the data on percentage of students
passing the proficiency test (% Passing), daily mean of the percentage of students
attending class (% Attendance), mean teacher salary in dollars (Salaries), and
instructional spending per pupil in dollars (Spending) of 47 schools in the state.
Following is the multiple regression output with Y = % Passing as the dependent
variable, X1 = % Attendance, X2 = Salaries and X3 = Spending:
Referring to Table 17-8, what is the value of the test statistic when testing whether
instructional spending per pupil has any effect on the percentage of students passing the
proficiency test, taking into account the effect of all the other independent variables?
TABLE 17-8
The superintendent of a school district wanted to predict the percentage of students
passing a sixth-grade proficiency test. She obtained the data on percentage of students
passing the proficiency test (% Passing), daily mean of the percentage of students
attending class (% Attendance), mean teacher salary in dollars (Salaries), and
instructional spending per pupil in dollars (Spending) of 47 schools in the state.
Following is the multiple regression output with Y = % Passing as the dependent
variable, X1 = % Attendance, X2 = Salaries and X3 = Spending:
Referring to Table 17-8, what is the p-value of the test statistic when testing whether the
daily average of the percentage of students attending class has any effect on the
percentage of students passing the proficiency test, taking into account the effect of all
the other independent variables?