Quizzes - MATH302 WK6 Homework
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Mathematics
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Jan 9, 2024
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Kimberly Mioducki - MATH302 I010 Fall 2023 - APEI
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1/19
Week 6 Knowledge Check Homework Practice Questio…
1
2
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Written Dec 19, 2023 7:00 AM - Dec 19, 2023 7:31 AM
•
Attempt 3 of 4
Attempt Score
16 / 20 - 80 %
Overall Grade (Highest Attempt)
16 / 20 - 80 %
Question 1
1 / 1 point
A physician wants to see if there was a difference in the average smokers' daily cigarette
consumption after wearing a nicotine patch. The physician set up a study to track daily smoking
consumption. In the study, the patients were given a placebo patch that did not contain nicotine for
4 weeks, then a nicotine patch for the following 4 weeks. Test to see if there was a difference in the
average smoker's daily cigarette consumption using α = 0.01. The hypotheses are:
H
0
: μ
D = 0
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Kimberly Mioducki - MATH302 I010 Fall 2023 - APEI
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2/19
H
1
: μ
D ≠ 0
t-Test: Paired Two Sample for Means
Placebo
Nicotine
Mean
16.75
10.3125
Variance
64.46667 33.29583
Observations
16
16
Pearson Correlation
0.6105
Hypothesized Mean Difference
0
df
15
t Stat
4.0119
P(T<=t) one-tail
0.0006
t Critical one-tail
2.6025
P(T<=t) two-tail
0.0011
t Critical two-tail
2.9467
What is the correct decision?
Accept H
0
Do not reject H
0
Reject H
1
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Kimberly Mioducki - MATH302 I010 Fall 2023 - APEI
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3/19
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Question 2
1 / 1 point
A manager wishes to see if the time (in minutes) it takes for their workers to complete a certain task
is faster if they are wearing earbuds. A random sample of 20 workers' times were collected before
and after wearing earbuds. Test the claim that the time to complete the task will be faster, i.e.
meaning has production increased, at a significance level of α = 0.01
For the context of this problem, μ
D
= μ
before
−μ
after
where the first data set represents before earbuds
and the second data set represents the after earbuds. Assume the population is normally distributed.
The hypotheses are:
H
0
: μ
D
= 0
H
1
: μ
D
> 0
You obtain the following sample data:
Before
After
68
62.3
72.5
61.6
39.3
21.4
67.7
60.4
38.3
47.9
85.9
78.6
67.3
75.1
59.8
48.3
72.1
65
Reject H
0
Accept H
1
The p-value for a two tailed test is 0.0011. This is given to you in the output.
No calculations are needed. 0.0011 < .01, Reject Ho, this is significant.
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Kimberly Mioducki - MATH302 I010 Fall 2023 - APEI
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4/19
Before
After
79
83
61.7
56.8
57.9
44.7
56.8
50.6
71
63.4
80.6
68.9
59.8
33.9
73.1
79
49.9
38.4
59.2
55.4
64.8
55.6
Choose the correct decision, summary and state the p-value.
Hide ques±on 2 feedback
Do not reject H
0
, there is not enough evidence to support the claim that the time to
complete the task has decreased when workers are allowed to wear earbuds at work and the
p-value = .0024.
Reject H
0
, there is enough evidence to support the claim that the time to complete the task
has decreased when workers are allowed to wear earbuds at work and the p-value = .0012
Reject H
0
, there is enough evidence to support the claim that the time to complete the task
has decreased when workers are allowed to wear earbuds at work and the p-value = .0024
Do not reject H
0
, there is enough evidence to support the claim that the time to complete the
task has decreased when workers are allowed to wear earbuds at work and the p-value =
.0012
Copy and paste the data into Excel. Use the Data Analysis Toolpak in Excel.
Data - > Data Analysis -> scroll to where is says t:Test: Paired Two Samples
for Means -> OK
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5/19
Question 3
1 / 1 point
In a 2-sample z-test for two proportions, you find the following:
p̂
1
= 0.32 n
1
=50
p̂
2
= 0.36 n
2
=50
Find the test statistic you will use while executing this test.
Hide ques±on 3 feedback
Variable 1 Range: is Before
Variable 2 Range: is After
The Hypothesized Mean Difference is 0 and make sure you click Labels in the
first row and click OK. You will get an output and this is the p-value you are
looking for.
P(T<=t) one-tail 0.0012
z
= ±
1.64
z = -1.96
z
= -0.42
z = 0.34
z
= -0.67
p = (16+18)/(50+50) = .34
z =
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6/19
Question 4
1 / 1 point
A researcher took a random sample of 200 new mothers in the United States (Group 1) and found
that 16% of them experienced some form of postpartum depression. Another random sample of 200
new mothers in France (Group 2), where mothers receive 16 weeks of paid maternity leave, found
that 11% experienced some form of postpartum depression. Can it be concluded that the percent of
women in the United States experience more postpartum depression than the percent of women in
France? Use α=0.05
.
Select the correct alternative hypothesis and decision
.
Hide ques±on 4 feedback
H
1
: p
1
≠ p
2
; Do not reject the null hypothesis.
H
1
: p
1
≠ p
2
; Reject the null hypothesis.
H
1
: p
1
> p
2
; Do not reject the null hypothesis.
H
1
: p
1
> p
2
; Reject the null hypothesis.
H
1
: p
1
< p
2
; Do not reject the null hypothesis.
H
1
: p
1
< p
2
; Reject the null hypothesis.
This is an upper tailed test because because of the keyword more.
z = z = 1.463171
Use NORM.S.DIST(1.463171,TRUE) to find the for the lower tailed test.
0.92829, then 1 - 0.92829, this is the p-value you want to use for an upper
tailed test.
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Question 5
1 / 1 point
___
0.2262___
(50 %)
___
0.3738___
(50 %)
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Question 6
1 / 1 point
A lab technician is tested for her consistency by taking multiple measurements of
cholesterol levels from the same blood sample. The target accuracy in the past has been 2.5
or less with a standard deviation of 1.15. If the lab technician takes 16 measurements and
the variance of the measurements in the sample is 2.2, does this provide enough evidence
A high school is running a campaign against the over-use of technology in teens. The committee
running the campaign decides to look at the difference in social media usage between teens and
adults. They take a random sample of 200 teens in their city (Group 1) and find that 85% of them
use social media, and then take another random sample of 180 adults in their city (Group 2) and find
that 55% of them use social media. Find a 90% confidence interval for the difference in proportions.
Enter the confidence interval - round to 4 decimal places.
< p
1
- p
2
< Z-Critical Value =NORM.S.INV(.95) = 1.645
LL = (.85-.55) - 1.645*
UL = (.85-.55) + 1.645*
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8/19
to reject the claim that the lab technician's accuracy is within the target accuracy?
State the null and alternative hypotheses.
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Question 7
1 / 1 point
The alternative hypothesis is also known as the:
Question 8
1 / 1 point
The form of the alternative hypothesis can be:
Question 9
0 / 1 point
H
0
:µ
<
2.5
, H
1
: µ ≠ 2.5
H
0
: µ
≥ 2.5, H
1
: µ
< 2.5
H
0
: µ
≤
2.5,
H
1
: µ > 2.5
H
0
: µ
≠ 2.5, H
1
: µ
= 2.5
The hypothesized value is 2.5 and the keyword is less which makes this a
lower tailed test.
elective hypothesis
optional hypothesis
null hypothesis
research hypothesis
two-tailed
one-tailed
neither one nor two-tailed
one or two-tailed
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9/19
Suppose that the mean time for a certain car to go from 0 to 60 miles per
hour was 7.7 seconds. Suppose that you want to test the claim that the
average time to accelerate from 0 to 60 miles per hour is longer than 7.7
seconds. What would you use for the alternative hypothesis?
Hide ques±on 9 feedback
Question 10
1 / 1 point
If a teacher is trying to prove that a new method of teaching economics is
more effective than a traditional one, he/she will conduct a:
Hide ques±on 10 feedback
H
1
: < 7.7 seconds
H
1
: = 7.7 seconds
H
1
: ≥ 7.7 seconds
H
1
: > 7.7 seconds
Hypothesized value is 7.7 and this is an upper tailed test because of the
keyword longer.
one-tailed test, lower tailed test
point estimate of the population parameter
two-tailed test
a one tailed, upper tailed test
Upper tailed test because the keyword is more.
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Question 11
1 / 1 point
You are testing the claim that the mean GPA of night students is different from the mean GPA of day
students. You sample 30 night students, and the sample mean GPA is 2.35 with a standard deviation
of 0.46. You sample 25 day students, and the sample mean GPA is 2.58 with a standard deviation of
0.47. Test the claim using a 5% level of significance. Assume the sample standard deviations are
unequal and that GPAs are normally distributed.
Hypotheses:
H
0
: μ
1
= μ
2
H
1
: μ
1 ≠ μ
2
What is the p-value for this scenario? Round to four decimal places. Make sure you put the 0 in
front of the decimal.
p-value =___
___
Answer: 0.0737
Hide ques±on 11 feedback
Question 12
1 / 1 point
T-Stat = T-stat = -1.82463
To find the p-value use =T.DIST.2T(abs(-1.82463),53)
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11/19
A new over-the-counter medicine to treat a sore throat is to be tested for effectiveness. The makers
of the medicine take two random samples of 25 individuals showing symptoms of a sore throat.
Group 1 receives the new medicine and Group 2 receives a placebo. After a few days on the
medicine, each group is interviewed and asked how they would rate their comfort level 1-10 (1
being the most uncomfortable and 10 being no discomfort at all). The results are below. Find the
90% confidence interval in the difference of the mean comfort level. Is there sufficient evidence to
conclude that the new medicine is effective? Assume the data is normally distributed with unequal
variances. (Round answers to 4 decimal places) Make sure you put the 0 in front of the decimal.
Average Group 1 = 5.84, SD Group 1 = 2.211334, n1 = 25
Average Group 2 = 3.96, SD Group 2 = 2.35372, n2 = 25
___< μ
1
- μ
2
<___
___
Answer for blank # 1: 0.7967
(50 %)
Answer for blank # 2: 2.9634
(50 %)
Hide ques±on 12 feedback
T-Critical Value =T.INV.2T(.10,48) = 1.677224
LL = (5.84 - 3.96) - 1.677224 *
UL = (5.84 - 3.96) + 1.677224 *
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12/19
Question 13
0 / 1 point
A new over-the-counter medicine to treat a sore throat is to be tested for effectiveness. The makers
of the medicine take two random samples of 25 individuals showing symptoms of a sore throat.
Group 1 receives the new medicine and Group 2 receives a placebo. After a few days on the
medicine, each group is interviewed and asked how they would rate their comfort level 1-10 (1
being the most uncomfortable and 10 being no discomfort at all). The results are below. Find the
95% confidence interval in the difference of the mean comfort level. Is there sufficient evidence to
conclude that the new medicine is effective? Assume the data is normally distributed with unequal
variances. (Round answers to 4 decimal places) Make sure you put the 0 in front of the decimal.
Average Group 1 = 5.84, SD Group 1 = 2.211334, n1 = 25
Average Group 2 = 3.96, SD Group 2 = 2.35372, n2 = 25
___< μ
1
- μ
2
<___
___
Answer for blank # 1: 0.7967
(0.5813, 0.5812)
Answer for blank # 2: 2.9634
(3.1787, 3.1788)
Hide ques±on 13 feedback
T-Critical Value =T.INV.2T(.05,48) = 2.010635
LL = (5.84 - 3.96) - 2.010635 * UL = (5.84 - 3.96) + 2.010635 *
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13/19
Question 14
1 / 1 point
In a random sample of 29 residents living in major cities on the West Coast (Group 1) and 29
residents living in major cities on the East Coast (Group 2), each individual was asked their age.
The results can be seen in the table below. The population standard deviation of the age in West
Coast cities is known to be 11.2 years and in East Coast cities is known to be 9.3 years. Assume the
populations are normally distributed. Run a test at a 0.05 level of significance to test if west coast
cities are, on average, older.
West Coast (Group
1)
East Coast (Group
2)
25
34
47
45
18
37
38
20
30
19
50
26
52
79
61
46
40
29
22
55
34
23
35
35
55
36
60
51
68
41
20
50
33
32
36
38
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14/19
37
26
42
44
60
19
71
28
54
27
20
18
45
30
52
20
34
22
57
43
64
62
Enter the P
-Value - round to 4 decimal places. Make sure you put the 0 in front of the decimal.
p-value =___
___
Answer: 0.0021
Hide ques±on 14 feedback
Copy and paste the data into Excel. Use the Data Analysis Toolpak in Excel.
Data - > Data Analysis -> scroll to where is says z:Test 2 Samples for Means -
> OK
Variable 1 Range: highlight West Coast
Variable 2 Range: highlight East Coast
The Hypothesized Mean Difference is 0.
Variable 1 Variance: You are given the population SD you need to take
11.2
2
and use this for the population Variance for Variable 1 and 9.3
2
to find
the population Variance for Variable 2.
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15/19
Question 15
0 / 1 point
Which of the following is a requirement that must be true in order to run a t-
test over a z-test?
Question 16
0 / 1 point
In a random sample of 50 Americans five years ago (Group 1), the average
credit card debt was $5,798. In a random sample of 50 Americans in the
present day (Group 2), the average credit card debt is $6,511. Let the
population standard deviation be $1,154 five years ago, and let the current
population standard deviation be $1,645. Using a 0.01 level of significance,
test if there is a difference in credit card debt today versus five years ago.
What are the correct hypotheses for this problem?
Make sure you click Labels in the first row and click OK. You will get an
output and this is the one tailed p-value you are looking for.
0.0021
The standard deviations for both populations must be known.
The standard deviations should come from each sample.
If the sample sizes are less than 30, the populations need to be
approximately normal.
The populations must be approximately normal.
H
0
: μ
1
= μ
2 ; H
1
: μ
1 ≠ μ
2
H
0
: μ
1
≤ μ
2 ; H
1
: μ
1 ≥ μ
2
H
0
: μ
1
≠ μ
2 ; H
1
: μ
1 = μ
2
H
0
: μ
1
≥ μ
2 ; H
1
: μ
1 ≤ μ
2
H
0
: μ
1
= μ
2 ; H
1
: μ
1 > μ
2
H
0
: μ
1
< μ
2 ; H
1
: μ
1 = μ
2
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Question 17
1 / 1 point
A survey found that the average daily cost to rent a car in Los Angeles is $102.24 and in Las Vegas
is $97.35. The data were collected from two random samples of 40 in each of the two cities and the
population standard deviations are $5.98 for Los Angeles and $4.21 for Las Vegas. At the 0.05 level
of significance, construct a confidence interval for the difference in the means and then decide if
there is a significant difference in the rates between the two cities. Let the sample from Los Angeles
be Group 1 and the sample from Las Vegas be Group 2.
Confidence Interval (round to 4 decimal places):
___< μ
1
- μ
2
<___
___
Answer for blank # 1: 2.6236
(50 %)
Answer for blank # 2: 7.1564
(50 %)
Hide ques±on 17 feedback
This is a two tailed test because of the keyword difference.
Z-Critical Value = NORM.S.INV(.975) = 1.96
LL = (102.24 - 97.35) - 1.96 *
UL = (102.24 - 97.35) + 1.96 *
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Question 18
1 / 1 point
Match the symbol with the correct phrase. µ
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Question 19
1 / 1 point
The plant-breeding department at a major university developed a new hybrid
boysenberry plant called Stumptown Berry. Based on research data, the claim
is made that from the time shoots are planted 90 days on average are
required to obtain the first berry. A corporation that is interested in marketing
the product, tests 60 shoots by planting them and recording the number of
days before each plant produces its first berry. The sample mean is 92.3 days.
The corporation will not market the product if the mean number of days is
more than the 90 days claimed.
The hypotheses are:
H
0
:μ = 90
H
1
:μ > 90
significance level
confidence level
parameter
power
P(Type II Error)
This is a parameter of the population average.
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What is a type I error in the context of this problem?
Question 20
1 / 1 point
A student is interested in becoming an actuary. They know that becoming an
actuary takes a lot of schooling and will have to take out student loans. They
want to make sure the starting salary will be higher than $55,000/year. They
randomly sample 30 starting salaries for actuaries and find a p-value of
0.0392.
Use α
= 0.05. Should the student pursue an actuary career?
Hide ques±on 20 feedback
Done
The corporation will not market the Stumptown Berry even though the
berry does produce fruit within the 90 days.
The corporation will market the Stumptown Berry even though the
berry does produce fruit in more than 90 days.
The corporation will not market the Stumptown Berry even though the
berry does produce fruit in more than 90 days.
The corporation will market the Stumptown Berry even though the
berry does produce fruit within the 90 days.
No, since we reject the claim.
Yes, since we reject the claim.
No, since we reject the null hypothesis.
Yes, since we reject the null hypothesis.
Yes, the p-value is < .05 and we Reject Ho and this is significant.
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