Assume that both populations are normally distributed. (a) Test whether μ₁ #₂ at the α = 0.01 level of significance for the given sample data. (b) Construct a 99% confidence interval about μ₁ - H₂. (a) Test whether μ₁ #₂ at the α = 0.01 level of significance for the given sample data. Determine the null and alternative hypothesis for this test. OA. Ho:¹₁ #1₂ H₁ H1 H2 OB. Ho:₁ #₂ H₁ H₁ H₂ OC. Ho:₁ = H2 H₁ H₁ H₂ OD. Ho H₁ H₂ H₁ H₁ H2 ... n X S Population 1 18 19.2 5.3 Population 2 18 23.4 4.3

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Assume that both populations are normally distributed.
(a) Test whether μ₁ µ₂ at the α = 0.01 level of significance for the given sample data.
(b) Construct a 99% confidence interval about μ₁ - H₂.
(a) Test whether μ₁ μ₂ at the α = 0.01 level of significance for the given sample data.
Determine the null and alternative hypothesis for this test.
OA. Holl #U2
H₁ H1 H2
OB. Ho H₁ H₂
H₁:1₁ > H₂
O C. Ho H₁ = μ¹2
H₁ H₁ > H₂
O D. Ho H₁ H2
H₁ H1 H₂
n
X
S
Population 1 Population 2
18
18
19.2
23.4
5.3
4.3
Transcribed Image Text:Assume that both populations are normally distributed. (a) Test whether μ₁ µ₂ at the α = 0.01 level of significance for the given sample data. (b) Construct a 99% confidence interval about μ₁ - H₂. (a) Test whether μ₁ μ₂ at the α = 0.01 level of significance for the given sample data. Determine the null and alternative hypothesis for this test. OA. Holl #U2 H₁ H1 H2 OB. Ho H₁ H₂ H₁:1₁ > H₂ O C. Ho H₁ = μ¹2 H₁ H₁ > H₂ O D. Ho H₁ H2 H₁ H1 H₂ n X S Population 1 Population 2 18 18 19.2 23.4 5.3 4.3
To illustrate the effects of driving under the influence (DUI) of alcohol, a police officer brought a DUI simulator to a local high school. Student reaction time in an emergency was measured with
unimpaired vision and also while wearing a pair of special goggles to simulate the effects of alcohol on vision. For a random sample of nine teenagers, the time (in seconds) required to bring the vehicle
to a stop from a speed of 60 miles per hour was recorded. Complete parts (a) and (b).
Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers.
Click the icon to view the data table.
(a) Whether the student had unimpaired vision or wore goggles first was randomly selected. Why is this a good idea in designing the experiment?
O A. This is a good idea in designing the experiment because the sample size is not large enough.
B. This is a good idea in designing the experiment because it controls for any "learning" that may occur in using the simulator.
C. This is a good idea in designing the experiment because reaction times are different.
(b) Use a 95% confidence interval to test if there is a difference in braking time with impaired vision and normal vision where the differences are computed as "impaired minus normal."
The lower bound is
The upper bound is
(Round to the nearest thousandth as needed.)
Transcribed Image Text:To illustrate the effects of driving under the influence (DUI) of alcohol, a police officer brought a DUI simulator to a local high school. Student reaction time in an emergency was measured with unimpaired vision and also while wearing a pair of special goggles to simulate the effects of alcohol on vision. For a random sample of nine teenagers, the time (in seconds) required to bring the vehicle to a stop from a speed of 60 miles per hour was recorded. Complete parts (a) and (b). Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Click the icon to view the data table. (a) Whether the student had unimpaired vision or wore goggles first was randomly selected. Why is this a good idea in designing the experiment? O A. This is a good idea in designing the experiment because the sample size is not large enough. B. This is a good idea in designing the experiment because it controls for any "learning" that may occur in using the simulator. C. This is a good idea in designing the experiment because reaction times are different. (b) Use a 95% confidence interval to test if there is a difference in braking time with impaired vision and normal vision where the differences are computed as "impaired minus normal." The lower bound is The upper bound is (Round to the nearest thousandth as needed.)
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