Question

13. The value used for the mean weight of elevator passengers by the state Division of Labor is 190 pounds. The Division wishes to investigate whether this value needs to be changed (upward or downward). A sample of 27 individuals in buildings having an elevator yielded sample mean 196 pounds and sample standard deviation 35 pounds. Assume the population is normally distributed. (a) State the null and alternative hypotheses for the test.

13A. [2 points] Construct the rejection region for ? = .05 What is critical value :………..

13B (2 points) State the correct formula for the test statistic. Compute the value of the test statistic X.XX •

13C make a decision What is decision and State a conclusion about the mean weight of elevator passengers, based on the test you performed at alpha 0.05 level [2 points] a. Reject H0, therefore not supporting claim b. Fail to reject Ho, supporting claim c. Reject H0, therefore supporting claim d. Fail to reject Ho, not supporting claim

13D Compute a 95% confidence interval for the mean weight of all elevator passengers. [2 points] What is margin of error ? answer format : X.XXXX

Answer #1

Let denotes the mean weight of elevator passengers by the state Division of Labor.

D)

8. We know that the mean weight of men is greater than the mean
weight of women, and the mean height of men is greater than the
mean height of women. A person’s body mass index (BMI) is computed
by dividing weight (kg) by the square of height (m). Use α = 0.05
significance level to test the claim that females and males have
the same mean BMI. Below are the statistics for random samples of
females and males. Female...

The Airline Passenger Association studied the relationship
between the number of passengers on a particular flight and the
cost of the flight. It seems logical that more passengers on the
flight will result in more weight and more luggage, which in turn
will result in higher fuel costs. For a sample of 8 flights, the
correlation between the number of passengers and total fuel cost
was 0.685.
State the decision rule for 0.01 significance level:
H0: ρ ≤ 0; H1:...

Question 5: Assume that you make candy bars; the advertised
weight of the candy bar is 4.0 ounces with a standard deviation
(sigma) of 2.35 oz. however your production manager thinks that
this is not true; he thinks the candy bars are over-weight, they
weigh more than 4.0 oz. To test his claim, you
decided to randomly select a sample of 126 candy bars, the average
weight (x-bar) is 4.5 oz. At an alpha (a) of 0.01 what do you...

An investigator wants to assess whether the mean m =
the average weight of passengers flying on small planes
exceeds the FAA guideline of average total weight of
190 pounds (passenger weight including shoes,
clothes, and carry-on). Suppose that a random sample of
61 passengers showed an average total weight of
210pounds with a sample standard deviation of
69.5 pounds. Assume that passenger total weights
are normally distributed. Suppose the investigator decides to
conduct a hypothesis test. Find is the...

Salmon: Assume that the weights of Chinook
Salmon in the Columbia River are normally distributed. You randomly
catch and weigh 30 such salmon. The mean weight from your sample is
23.8 pounds with a standard deviation of 2.5 pounds. Test the claim
that the mean weight of Columbia River salmon is greater than 23
pounds. Test this claim at the 0.01 significance level.
(a) What type of test is this?
This is a right-tailed test. This is a left-tailed
test. ...

Assume that the weights of spawning Chinook salmon in the
Columbia River are normally distributed with a population standard
deviation (σ) of 3.9 pounds. You randomly catch and weigh
20 such salmon. The mean weight from your sample is 24.9 pounds.
Test the claim that the mean weight of Columbia River salmon is
greater than 24 pounds. Use a 0.10significance level.
(a) What type of test is this?
This is a right-tailed test.
This is a left-tailed test.
This is...

The Airline Passenger Association studied the relationship
between the number of passengers on a particular flight and the
cost of the flight. It seems logical that more passengers on the
flight will result in more weight and more luggage, which in turn
will result in higher fuel costs. For a sample of 9 flights, the
correlation between the number of passengers and total fuel cost
was 0.734.
1.
State the decision rule for 0.010 significance level:
H0: ρ ≤ 0;...

A manufacturer claims that the mean life time of its lithium
batteries is 1500 hours . A home owner selects 30 of these
batteries and finds the mean lifetime to be 1470 hours with a
standard deviation of 80 hours. Test the manufacturer's claim.
Use=0.05. Round the test statistic to the nearest thousandth.
a) Hypothesis:
b)Critical value (t critical):
c)Test statistic (tstat) and the decision about the test
statistic:(reject or fail to reject Ho):
d)Conclusion that results from the decision...

A clinic offers a weight-reduction program. A review of its
records revealed the following weight losses, in pounds, for
a
random sample of 29 of its clients after the program:
6 14 0 5 3 2 3 0 3 0
5 7 0 4 8 7 6 5 7 6
8 0 0 0 4 2 0 5 3
Goodness-of-Fit Test
Shapiro-Wilk W Test
W Prob<W
0.899470 0.0095*
Note: Ho = The data is from the Normal distribution. Small p-values...

A used car dealer says that the mean price of a three-year-old
sports utility vehicle is $21,000. You suspect this claim is
incorrect and find that a random sample of 21 similar vehicles has
a mean price of $21,857 and a standard deviation of $1976. Is
there enough evidence to reject the claim at alphaα=0.05?
Complete parts (a) through(e) below. Assume the population is
normally distributed.(a) Write the claim mathematically and
identify H0 and Ha.
Which of the following correctly...

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