Statistics 200_ First Lab Activity for Section 4.3
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Apr 3, 2024
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Statistics 200:
First
Lab Activity for Section 4.3
Activity 1:
p-values, evidence for the alternative, and formal decisions.
Below are three different hypothesis tests about population proportions. For each test, use StatKey and the
information given to calculate the appropriate p-value and make the correct conclusions.
1.
H
0
: p = 0.3
vs H
a:
p ≠ 0.3.
A
survey used to test these hypotheses found a count of 38 and a sample
size of n = 100.
a.
What is p-hat for this sample?
a.
0.38
a.
Using StatKey, generate a randomization distribution using at least 5000 samples. Remember to:
select Edit Data to input sample information, and to edit the null hypothesis.
What is the p-value using this randomization distribution?
0.0
a.
What is the formal conclusion using a significance level of 0.05?
a.
Reject
b.
What is the conclusion in context?
a.
At a significance level of 0.05, we can reject the null hypothesis that p=0.3
1.
H
0
: p = 0.7
vs H
a:
p ≠ 0.7.
A
survey used to test these hypotheses found a count of 320 and a sample
size of n = 500.
a.
What is p-hat for this sample?
a.
0.64
a.
Using StatKey, generate a randomization distribution using at least 5000 samples. Remember to
select Edit Data to input sample information, and to edit the null hypothesis.
What is the p-value using this randomization distribution?
0.03
a.
What is the formal conclusion using a significance level of 0.05?
a.
Reject
b.
What is the conclusion in context?
a.
At a significance level of 0.05, there is significant evidence to reject the null hypothesis of
p=0.7
1.
H
0
: p = 0.6
vs H
a:
p < 0.6.
A
survey used to test these hypotheses found a count of 110 and a sample
size of n = 200.
a.
What is p-hat for this sample?
a.
0.55
a.
Using StatKey, generate a randomization distribution using at least 5000 samples. Remember to
select Edit Data to input sample information, and to edit the null hypothesis.
What is the p-value using this randomization distribution?
-
0.03
a.
What is the formal conclusion using a significance level of 0.05?
a.
Reject
b.
What is the conclusion in context?
a.
At a significance level of 0.05, there is significant evidence to reject the null hypothesis of
p=0.6
1.
Considering your p-values from questions 1 – 3 above, which of the statements below is
true
?
A.
The p-value for Question 2 indicates the most evidence in support of the corresponding alternative
hypotheses.
B.
For Question 1, we accept the null hypothesis at a significance level of 0.05 and of 0.10.
C.
For Question 2, we would reject the null at a significance level of 0.10, but not at a significance level of
0.05.
D.
For Question 3, the conclusion would change if it were a two-tailed test when using the same sample
statistic.
Activity 2: Hypothesis test from start to finish
Is there evidence of a negative correlation between systolic blood pressure and heart rate? In a sample of 200
patients, we found a sample correlation of -0.057.
1.
State the hypotheses of interest.
a.
Ho: p = 0
b.
Ha: p < 0
1.
What is the notation and value of the sample statistic?
a.
Notation = r
b.
Value = -0.057
1.
Use StatKey to generate a randomization distribution for these hypotheses. Use the data set ‘ICU
Admissions’ available on StatKey.
What is the p-value?
-
0.213
1.
Which two of the options below are
correct
interpretations of the p-value (insert your calculated
p-value from (3) in the blank):
A.
If there is no linear association between systolic blood pressure and heart rate in the
population, the chance of seeing a sample correlation of -0.057 or less is _______________.
B.
If there is a negative linear association between systolic blood pressure and heart rate, the
chance of seeing a sample correlation of -0.057 or less is _____________.
C.
If there is no linear association between systolic blood pressure and heart rate in the
population, the proportion of samples with a sample correlation of -0.057 or less is _______.
D.
If there is a negative linear association between systolic blood pressure and heart rate, the
proportion of samples with a sample correlation of -0.057 or less is _______________.
1.
What is the formal conclusion at a significance level of 0.05?
a.
Fail to reject
1.
What is the conclusion in context?
a.
There is not evidence to support the idea that it could be a negative correlation
1.
Based on the p-value you calculated in part 3, what would the correct formal conclusion be if we were
testing a two-sided hypothesis with the same sample?
A.
Reject H
0
and accept Ha
B.
Reject Ha and accept H
0
C.
Fail to reject H
0
D.
Fail to reject Ha
Activity 3: Hypothesis test from start to finish
According to Zillow, the median home price in Canton, OH is 92 thousand dollars. A real estate developer
believes that the
mean
home price is larger. We are to use a sample of n = 10 home sales to see if there is
evidence that the mean home price is larger than 92 thousand dollars. The sample mean is 146.8 thousand
dollars.
1.
State the hypotheses of interest.
a.
Ho: mu = 92,000
b.
Ha: mu > 92,000
1.
What is the notation and value of the sample statistic?
a.
X bar
b.
146.8
1.
Use StatKey to generate a randomization distribution for these hypotheses. Use the data set ‘Home
Prices - Canton’. You may need to change the null value.
What is the p-value?
-
0.03
1.
Select the option that gives the correct interpretation:
The p-value from part 3 gives the chance of seeing a sample mean of ___________ thousand dollars or
any value __________ , assuming the population mean home price in Canton, Ohio is truly ________
thousand dollars.
A.
146.8, smaller, 92
B.
146.8, larger, 92
C.
92, smaller, 146.8
D.
92, larger, 146.8
1.
What is the formal conclusion using a significance level of 0.05?
a.
There is enough evidence to reject Ho at a significance level of 0.05
1.
What is the conclusion in context?
a.
Evidence suggests the true mean is greater than 92000
1.
What would the p-value and conclusion be if we decided to make the alternative hypothesis two-tailed?
a.
The p-value would be 0.06, and we would fail to reject Ho
1.
Select everything that would result in a p-value
larger
than that in part 3 above:
A.
Making the alternative hypothesis two-sided.
B.
Changing the null value from 92 to 96
C.
Changing the null value from 92 to 90
(note – you can do these things in StatKey to see what happens, but you should be able to answer this
question without it)
1.
Did the sample from Activity 2 or Activity 3 provide more evidence for the corresponding alternative
hypothesis?
A.
Activity 2
B.
Activity 3 (????)
C.
Both Activity 2 and Activity 3 provided the same amount of evidence
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