Exercise-2: You have to test the null hypothesis in each test; reading, math, citizenship, science.
Hypothesis testing for all is provided as a solution.
The state of Ohio Department of Education has a mandated ninthâ€grade proficiency test that covers writing,
reading, mathematics, citizenship (social studies), and
science. The Excel file Ohio Education Performance provides data on success rates (defined as the percentage
of students passing) in school districts in the greater
Cincinnati metropolitan area along with state averages.
Test the null hypothesis that the average score in the
Cincinnati area is equal to the state average in each test
and for the composite score.
Exercise-4: It has two parts:
a) Ho = the average profit per customer for this industry was at least $4,500 that is >=
H1 = The average profit per customer is < $4,500
b) Ho = The average profit per customer is <= $4,500
H1 = The average profit per customer is > $4,500
The Excel file Sales Data provides data on a sample of
customers. An industry trade publication stated that
the average profit per customer for this industry was
at least $4,500. Using a test of hypothesis, do the data
support this claim or not? The company believes that
their average profit exceeds $4,500. Test a hypothesis to
determine if there is evidence to support this.
Exercise-6: Use z-test of hypothesis for the proportion.
a) Ho: proportion ≥ .30
H1: proportion < .30
Number of items of interest, you can count in column G.
An employer is considering negotiating its pricing structure for health insurance with its provider if there is sufficient evidence that customers will be willing to pay
a lower premium for a higher deductible. Specifically,
they want at least 30% of their employees to be willing to do this. Using the sample data in the Excel file
Insurance Survey, determine what decision they should
Exercise: 9: In a), b), c), use t-test statistic and in d) use z-test statistic.
Using the data in the Excel file Consumer Transportation
Survey, test the following null hypotheses:
a. Individuals spend at least 10 hours per week in
b. Individuals drive an average of 450 miles per week.
c. The average age of SUV drivers is no greater than 35.
d. At least 75% of individuals are satisfied with their
Ho: Average # of vacations for married people >= Average # of vacations for single divorced
H1: Average # of vacations for married people < Average # of vacations for single divorced
Use Separate-Variances t Test for the Difference Between Two Means in PHstat. Select
Determine if there is evidence to conclude that the mean
number of vacations taken by married individuals is less
than the number taken by single/divorced individuals
using the data in the Excel file Vacation Survey
a) H0: Average call time without cart ≤ Average call time with cart
H1: Average call time without cart > Average call time with cart b) H0: Proportion of back injuries without cart ≤ Proportion of back injuries with cart
H1: Proportion of back injuries without cart > Proportion of back injuries with cart
This will be upper-tail test.
A study of nonfatal occupational injuries in the United
States found that about 31% of all injuries in the service sector involved the back. The National Institute
for Occupational Safety and Health (NIOSH) recommended conducting a comprehensive ergonomics assessment of jobs and workstations. In response
to this information, Mark Glassmeyer developed a
unique ergonomic handcart to help field service engineers be more productive and also to reduce back injuries from lifting parts and equipment during service
calls. Using a sample of 382 field service engineers
who were provided with these carts, Mark collected
the following data:
Exercise-25: There are three types of cell phones: basic, camera, and smart. Use column
F: Value for the Dollar to apply ANOVA.
Using the data in the Excel file Cell Phone Survey, apply
ANOVA to determine if the mean response for Value
for the Dollar is the same for different types of of cell
Using the data in the Excel file Freshman College Data,
use ANOVA to determine whether the mean retention
rate is the same for all colleges over the 4â€year period.
Second, use ANOVA to determine if the mean ACT and
SAT scores are the same each year over all colleges. If
the null hypothesis is rejected, apply the Tukey–Kramer
multiple comparison procedure to identify significant
|Due By (Pacific Time)||03/13/2014 08:00 pm|
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