A poll of 2,049 randomly selected adults showed that 96% of thern own cell phones. The technology display belon results from a test of the claim that 95% of adults own cell phones. Use the normal distribution as an approximation to the binomial distribution, and assume a 0.01 significance level to complete parts (a) through (e). Test of p= 0.95 vs p$0.95 Sample X 1962 2,049 Sample p 0.957540 95% CI Z-Value (0.946066,0.969014) 147 P.Value 0.117 a. ls the test two-tailed, left-tailed, or right-tailed? O Two-tailed test O Left-tailed test O Right tailed test b. What is the test statistic? The test statistic is (Round to two decimal places as needed.) c. What is the P-value? The P-value is (Round to three decimal places as needed.) d. What is the null hypothesis and what do you conclude about it? Identify the null hypothesis. O A. Ho: p< 0.95 O B. Ho: p*0.95 O C. Ho: p> 0.95 O D. Ho: p= 0.95 Choose the correct answer below. O A. Reject the null hypothesis because the P-value is greater than the significance level, «. O B. Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, a. O C. Reject the null hypothesis because the P-value is less than or equal to the significance level, «. O D. Fail to reject the null hypothesis because the -value is greater than the significance level, a. Choose the correct answer below. O A. Reject the null hypothesis because the P-value is greater than the significance level, «. O B. Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, a. O C. Reject the null hypothesis because the P-value is less than or equal to the significance level, «. O D. Fail to reject the null hypothesis because the -value is greater than the significance level, a.

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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A poll of 2,049 randomly selected adults showed that 96% of thern own cell phones. The technology display belon results from a test of the claim that 95% of adults own cell phones. Use the normal distribution as an approximation to the binomial distribution, and assume a 0.01 significance level to complete parts (a) through (e). Test of p= 0.95 vs p$0.95 Sample X 1962 2,049 Sample p 0.957540 95% CI Z-Value (0.946066,0.969014) 147 P.Value 0.117 a. ls the test two-tailed, left-tailed, or right-tailed? O Two-tailed test O Left-tailed test O Right tailed test b. What is the test statistic? The test statistic is (Round to two decimal places as needed.) c. What is the P-value? The P-value is (Round to three decimal places as needed.) d. What is the null hypothesis and what do you conclude about it? Identify the null hypothesis. O A. Ho: p< 0.95 O B. Ho: p*0.95 O C. Ho: p> 0.95 O D. Ho: p= 0.95 Choose the correct answer below. O A. Reject the null hypothesis because the P-value is greater than the significance level, «. O B. Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, a. O C. Reject the null hypothesis because the P-value is less than or equal to the significance level, «. O D. Fail to reject the null hypothesis because the -value is greater than the significance level, a. Choose the correct answer below. O A. Reject the null hypothesis because the P-value is greater than the significance level, «. O B. Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, a. O C. Reject the null hypothesis because the P-value is less than or equal to the significance level, «. O D. Fail to reject the null hypothesis because the -value is greater than the significance level, a.

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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