Groupwork06
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De Anza College *
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Course
10
Subject
Mathematics
Date
Jan 9, 2024
Type
Pages
5
Uploaded by CorporalEnergyOwl16
Math 10
Hypothesis Testing 2
1.
A researcher wants to support the claim that students spend less than 7 hours per week doing
homework. The sample size for the test is 64 students. The drawing is a diagram of a
hypothesis test for population mean under the Null Hypothesis (top drawing) and under the
Alternative Hypothesis (bottom drawing).
a.
State the Null and Alternative
Hypotheses.
b.
What is the design probability
associated with Type I error?
c.
What is the design probability
associated with Type II error?
d.
What is the power of the test
shown in this graph?
e.
If the p-value of the test came out
to be .08, what would the decision
be? Also, write the conclusion in the context of the problem
f.
What is the value of the mean under the Alternative Hypothesis?
g.
What is the effect size of this test? Explain what it means
.
h.
If the sample size was changed to 100, would the shaded area on the bottom graph increase,
decrease or stay the same?
2.
An environmentalist estimates that the mean waste recycled by adults in the United States is
more than 1 pound per person per day. You want to support this claim. You find that the mean
waste recycled per person per day for a random sample of 12 adults in the United States is 1.2
pounds and the sample standard deviation is 0.3 pound. At α = 0.05, can you support the claim?
(DESIGN) State your Hypothesis in words and population parameters
(DESIGN) State Significance Level of the test and explain what Type I error would be.
(DESIGN) Determine the statistical model (test statistic)
(DESIGN) Determine decision rule (p-value method)
(DATA) Conduct the test by calculating the test statistic and p-value using the
p-value
calculator
. Paste graph here. State your decision: reject or fail to reject Ho
(CONCLUSION) State your overall conclusion in language that is clear, relates to the
original problem and is consistent with your decision.
3.
A government association claims that 44% of adults in the United States do volunteer work. You
work for a volunteer organization and are asked to test this claim. You find that in a random
sample of 1165 adults, 556 do volunteer work. At α
=
0.05, do you have enough evidence to
reject the association's claim?
(DESIGN) State your Hypothesis in words and population parameters
(DESIGN) State Significance Level of the test and explain what Type II error would be.
(DESIGN) Determine the statistical model (test statistic)
(DESIGN) Determine decision rule (p-value method)
(DATA) Conduct the test by calculating the test statistic and p-value using the
p-value
calculator
. Paste graph here. State your decision: reject or fail to reject Ho
(CONCLUSION) State your overall conclusion in language that is clear, relates to the
original problem and is consistent with your decision.
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4.
This exercise shows the significance level of a test (α ) and the p-value do not tell you the
confidence of your claim being correct if you reject Ho.
α = P(Reject Ho | Ho is true)
power = P(Reject Ho | Ho is False)
A researcher wanted to show that the percentage of students at community colleges who
receive financial aid exceeds 40%.
Ho: p = 0.40 (The proportion of community college students receiving financial aid is 0.40)
Ha: p > 0.40 (The proportion of community college students receiving financial aid is over 0.40)
The researcher sampled 874 students and found that 376 of them received financial aid. This
works to a sample proportion , which leads to a Z value of 1.822, if p = 0.40.
p-value = P(> 0.430 | Ho is true) = P( Z > 1.822 ) = 0.034
a.
The researcher then incorrectly claimed that “We are 96.6%
confident that more than 40% of community colleges receive
financial aid.” Explain why this is incorrect reasoning.
For this researcher, suppose there is a 10% chance (without data) that Ha is True (meaning Ho
is False). Let’s also assume the test has 85% power and that α = 0.05. We can now calculate
the actual chance Ha is true given this data. We will use Bayesian Statistics, similar to the drug
testing example of Chapter 4, to determine the probability that Ha will be true if you reject Ho.
b.
First complete the tree diagram. (double click into drawing and fill in the probabilities
c.
Then create a hypothetical two-way table based on these probabilities.
Ho is False
Ha is True
Ho is True
Ho is False
Total
Reject Ho
Fail to Reject Ho
Total
100
900
1000
d.
What is the probability that a researcher will reject Ho?
e.
If a researcher rejects Ho, what is the chance that Ho is really true?
f.
Why does this answer differ from the significance level (α )?