An aneroid sphygmomanometer is a mechanical device used to measure blood pressure. A simple random sample of these devices is tested for accuracy and the errors (mm Hg) are listed below. One of the devices is considered to be unacceptable if its error is more than 33 mm Hg. The criterion for concluding that the sample is from a population of unacceptable devices is sigmaσgreater than>1.51.5 mm Hg. Use a 0.050.05 significance level with the sample data to test the claim that the sample is from a population with a standard deviation greater than 1.51.5 mm Hg. Assume that the population is normally distributed. -7 -10 5 3 9 14 -12 -15 4 4 -3 What are the correct hypotheses for this test? Calculate the value of the test statistic. nothing (Round to two decimal places as needed.) Use technology to determine the P-value for the test statistic. The P-value is nothing. (Round to three decimal places as needed.) What is the conclusion at the 0.050.05 level of significance? Since the P-value is ▼ less than or equal to greater than the level of significance, ▼ reject do not reject the null hypothesis. There ▼ is not is sufficient evidence to conclude that the sample is from a population of unacceptable devices.

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Description: An aneroid sphygmomanometer is a mechanical device used to measure blood pressure. A simple random sample of these devices is tested for accuracy and the errors (mm Hg) are listed below. One of the devices is considered to be unacceptable if its err

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An aneroid sphygmomanometer is a mechanical device used to measure blood pressure. A simple random sample of these devices is tested for accuracy and the errors (mm Hg) are listed below. One of the devices is considered to be unacceptable if its error is more than

mm Hg. The criterion for concluding that the sample is from a population of unacceptable devices is

sigmaσgreater than>1.51.5

mm Hg. Use a

0.050.05

significance level with the sample data to test the claim that the sample is from a population with a standard deviation greater than

1.51.5

mm Hg. Assume that the population is normally distributed.

-7 -10 5 3 9 14 -12 -15 4 4 -3

What are the correct hypotheses for this test?

Calculate the value of the test statistic.

nothing

(Round to two decimal places as needed.)

Use technology to determine the P-value for the test statistic.

The P-value is

nothing.

(Round to three decimal places as needed.)

What is the conclusion at the

0.050.05

level of significance?

Since the P-value is

▼

less than or equal to

greater than

the level of significance,

▼

reject

do not reject

the null hypothesis. There

▼

is not

sufficient evidence to conclude that the sample is from a population of unacceptable devices.

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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