The mean tar content of a simple random sample of 25 unfiltered king-size cigarettes is 20.8 mg, with a standard deviation of 3 mg. The mean tar content of a simple random sample of 25 filtered 100-mm cigarettes is 13.0 mg with a standard deviation of 3.9 mg. The accompanying table shows the data. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Let population 1 be unfiltered king-size cigarettes. Complete parts (a) through (c) below. KING TAR 100 TAR 18 5 25 16 28 16 21 13 20 12 25 13 20 16 23 15 18 16 23 8 21 13 19 12 22 12 19 15 20 2 9 16 22 14 19 14 20 13 25 16 21 15 21 16 21 6 19 18 20 14 Use a 0.10 significance level to test the claim that unfiltered king-size cigarettes have a mean tar content greater than that of filtered 100-mm cigarettes. What does the result suggest about the effectiveness of cigarette filters? Identify the null and alternative hypotheses. A. H0: μ1>μ2 H1: μ1=μ2 B. H0: μ1=μ2 H1: μ1>μ2 C. H0: μ1≠μ2 H1: μ1=μ2 D. H0: μ1<μ2 H1: μ1=μ2 E. H0: μ1=μ2 H1: μ1<μ2 F. H0: μ1=μ2 H1: μ1≠ The test statistic is enter your response here. (Round to two decimal places as needed.) The P-value is enter your response here. (Round to three decimal places as needed.) State the conclusion for the test. ▼ Fail to reject Reject the null hypothesis. There ▼ is is not sufficient evidence to support the claim that unfiltered king-size cigarettes have a mean tar content greater than that of filtered 100-mm cigarettes. This suggests that cigarette filters are ▼ effective not significantly effective in reducing tar. b. Construct an 80% confidence interval estimate of the difference between the mean tar content of unfiltered king-size cigarettes and the mean tar content of filtered 100-mm cigarettes. Does the result suggest that 100-mm filtered cigarettes have less tar than unfiltered king-size cigarettes? The 80% confidence interval estimate is enter your response here<μ1−μ2

The mean tar content of a simple random sample of 25 unfiltered king-size cigarettes is 20.8 mg, with a standard deviation of 3 mg. The mean tar content of a simple random sample of 25 filtered 100-mm cigarettes is 13.0 mg with a standard deviation of 3.9 mg. The accompanying table shows the data. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Let population 1 be unfiltered king-size cigarettes. Complete parts (a) through (c) below. KING TAR 100 TAR 18 5 25 16 28 16 21 13 20 12 25 13 20 16 23 15 18 16 23 8 21 13 19 12 22 12 19 15 20 2 9 16 22 14 19 14 20 13 25 16 21 15 21 16 21 6 19 18 20 14 Use a 0.10 significance level to test the claim that unfiltered king-size cigarettes have a mean tar content greater than that of filtered 100-mm cigarettes. What does the result suggest about the effectiveness of cigarette filters? Identify the null and alternative hypotheses. A. H0: μ1>μ2 H1: μ1=μ2 B. H0: μ1=μ2 H1: μ1>μ2 C. H0: μ1≠μ2 H1: μ1=μ2 D. H0: μ1<μ2 H1: μ1=μ2 E. H0: μ1=μ2 H1: μ1<μ2 F. H0: μ1=μ2 H1: μ1≠ The test statistic is enter your response here. (Round to two decimal places as needed.) The P-value is enter your response here. (Round to three decimal places as needed.) State the conclusion for the test. ▼ Fail to reject Reject the null hypothesis. There ▼ is is not sufficient evidence to support the claim that unfiltered king-size cigarettes have a mean tar content greater than that of filtered 100-mm cigarettes. This suggests that cigarette filters are ▼ effective not significantly effective in reducing tar. b. Construct an 80% confidence interval estimate of the difference between the mean tar content of unfiltered king-size cigarettes and the mean tar content of filtered 100-mm cigarettes. Does the result suggest that 100-mm filtered cigarettes have less tar than unfiltered king-size cigarettes? The 80% confidence interval estimate is enter your response here<μ1−μ2

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Related questions

Question

The mean tar content of a simple random sample of

unfiltered king-size cigarettes is

20.8

mg, with a standard deviation of

mg. The mean tar content of a simple random sample of

filtered 100-mm cigarettes is

13.0

mg with a standard deviation of

3.9

mg. The accompanying table shows the data. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Let population 1 be unfiltered king-size cigarettes. Complete parts (a) through (c) below.

KING TAR 100 TAR
18 5
25 16
28 16
21 13
20 12
25 13
20 16
23 15
18 16
23 8
21 13
19 12
22 12
19 15
20 2
9 16
22 14
19 14
20 13
25 16
21 15
21 16
21 6
19 18
20 14

Use a

0.10

significance level to test the claim that unfiltered king-size cigarettes have a mean tar content greater than that of filtered 100-mm cigarettes. What does the result suggest about the effectiveness of cigarette filters?

Identify the null and alternative hypotheses.

H0:

μ1>μ2

H1:

μ1=μ2

H0:

μ1=μ2

H1:

μ1>μ2

H0:

μ1≠μ2

H1:

μ1=μ2

H0:

μ1<μ2

H1:

μ1=μ2

H0:

μ1=μ2

H1:

μ1<μ2

H0:

μ1=μ2

H1:

μ1≠

The test statistic is

enter your response here.

(Round to two decimal places as needed.)

The P-value is

enter your response here.

(Round to three decimal places as needed.)

State the conclusion for the test.

▼

Fail to reject

Reject

the null hypothesis. There

▼

is not

sufficient evidence to support the claim that unfiltered king-size cigarettes have a mean tar content greater than that of filtered 100-mm cigarettes. This suggests that cigarette filters are

▼

effective

not significantly effective

in reducing tar.

b. Construct

80%

confidence interval estimate of the difference between the mean tar content of unfiltered king-size cigarettes and the mean tar content of filtered 100-mm cigarettes. Does the result suggest that 100-mm filtered cigarettes have less tar than unfiltered king-size cigarettes?

The

80%

confidence interval estimate is

enter your response here<μ1−μ2<enter your response here.

(Round to one decimal place as needed.)

The result

▼

does not suggest

suggests

that 100-mm filtered cigarettes have less tar than unfiltered king-size cigarettes, since the confidence interval

▼

contains

is entirely below

is entirely above

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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