Assume that a simple random sample has been selected from a normally distributed population and test the given claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. A simple random sample of 2525 filtered 100 mm cigarettes is obtained, and the tar content of each cigarette is measured. The sample has a mean of 19.419.4 mg and a standard deviation of 3.143.14 mg. Use a 0.050.05 significance level to test the claim that the mean tar content of filtered 100 mm cigarettes is less than 21.121.1 mg, which is the mean for unfiltered king size cigarettes. What do the results suggest, if anything, about the effectiveness of the filters? What are the hypotheses? A. Upper H 0H0: muμgreater than>21.121.1 mg Upper H 1H1: muμless than<21.121.1 mg B. Upper H 0H0: muμequals=21.121.1 mg Upper H 1H1: muμgreater than or equals≥21.121.1 mg C. Upper H 0H0: muμless than<21.121.1 mg Upper H 1H1: muμgreater than or equals≥21.121.1 mg D. Upper H 0H0: muμequals=21.121.1 mg Upper H 1H1: muμless than<21.121.1 mg Your answer is correct. Identify the test statistic. tequals=nothing (Round to three decimal places as needed.) What is the P-Value?

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Description: Assume that a simple random sample has been selected from a normally distributed population and test the given claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original

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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Assume that a simple random sample has been selected from a normally distributed population and test the given claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim.

A simple random sample of

2525

filtered 100 mm cigarettes is obtained, and the tar content of each cigarette is measured. The sample has a mean of

19.419.4

mg and a standard deviation of

3.143.14

mg. Use a

0.050.05

significance level to test the claim that the mean tar content of filtered 100 mm cigarettes is less than

21.121.1

mg, which is the mean for unfiltered king size cigarettes. What do the results suggest, if anything, about the effectiveness of the filters?

What are the hypotheses?

Upper H 0H0:

muμgreater than>21.121.1

Upper H 1H1:

muμless than<21.121.1

Upper H 0H0:

muμequals=21.121.1

Upper H 1H1:

muμgreater than or equals≥21.121.1

Upper H 0H0:

muμless than<21.121.1

Upper H 1H1:

muμgreater than or equals≥21.121.1

Upper H 0H0:

muμequals=21.121.1

Upper H 1H1:

muμless than<21.121.1

Your answer is correct.

Identify the test statistic.

tequals=nothing

(Round to three decimal places as needed.)

What is the P-Value?

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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