In a study of cell phone usage and brain hemispheric dominance, an Internet survey was e-mailed to6985 subjects randomly selected from an online group involved with ears. There were 1316 surveys returned. Use a 0.01 significance level to test the claim that the return rate is less than 20%. Use the P-value method and use the normal distribution as an approximation to the binomial distribution

In a study of cell phone usage and brain hemispheric dominance, an Internet survey was e-mailed to6985 subjects randomly selected from an online group involved with ears. There were 1316 surveys returned. Use a 0.01 significance level to test the claim that the return rate is less than 20%. Use the P-value method and use the normal distribution as an approximation to the binomial distribution

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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In a study of cell phone usage and brain hemispheric dominance, an Internet survey was e-mailed to 6976subjects randomly selected from an online group involved with ears. There were 1301 surveys returned. Use a 0.01 significance level to test the claim that the return rate is less than 20%. Use the P-value method and use the normal distribution as an approximation to the binomial distribution. Identify the null hypothesis and alternative hypothesis. test statistic___ pvalue___ Because the p value is______the significance level,____the null hypothesis.There is ____edivence to support the claim that the return rate is less than 20%
Two different brands of milk are randomly sampled, and the fat content in each bottle is determined. Twenty-six bottles of Brand A yielded an average fat content of 26 grams with a standard deviation of 5 grams, and 31 bottles of Brand B yielded an average fat content of 25.8 grams with a standard deviation of 7 grams. Test the hypothesis at the 10% level of significance that the variances are different.
While testing gas pumps for accuracy across the state, the research team found that out of 5246 pumps, 788 of them were inaccurate. Use a normal distribution and a known test statistic of z = 0.043. The claim is that at least 15% of the gas pumps across the state are inaccurate. Use a 0.01 significance level. Find the P-value.
According to the U.S. Department of Transportation’s Air Travel Consumer Report, the nation’s 12 largest airlines recorded an on-time arrival percentage of 77.4% in 2001. Of interest is to estimate the mean delay time for the 22.6% of all flights that did not arrive on time during 2013. A simple random sample of 28 late arriving flights was selected, and the mean delay time of this sample of 28 flights was 14.2 minutes, with a sample standard deviation of s= 6.4 minutes. Use this information to calculate and interpret a 98% confidence interval for the mean delay time for all flights that did not arrive on time during 2013.
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Small-business telephone users were surveyed 6 months after access to carriers other than Carrier A became available for wide-area telephone service. Of a random sample of 240 Carrier A users, 135 said they were attempting to learn more about their options, as did 227 of an independent random sample of 260 users of alternate carriers. Test, at the 1% significance level against a two-sided alternative, the null hypothesis that the two population proportions are the same. Click the link to view a standard normal distribution table. be the Let Px be the proportion of Carrier A users who said they were attempting to learn more about their options and Py proportion of users of alternate carriers who said they were attempting to learn more about their options. Determine the null and alternative hypotheses. Choose the correct answer below. O A. Ho: Px-Py=0 H₁: Px-Py 20 O D. Ho: Px-P₁ #0 H₁: Px - Py = 0 B. Ho: Px-Py = 0 H₁: Px-Py 0
In a random sample of males, it was found that 21 write with their left hands and 210 do not. In a random sample of females, it was found that 56 write with their left hands and 440 do not. Use a 0.05 significance level to test the claim that the rate of left-handedness among males is less than that among females. Identify the test statistic. and p value
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A study was conducted to determine if differences in new textbook prices exist between on-campus bookstores, off-campus bookstores, and Internet bookstores. To control for differences in textbook prices that might exist across disciplines, the study randomly selected 12 textbooks and recorded the price of each of the 12 books at each of the three retailers. You may assume normality and equal-variance assumptions have been met. The partially completed ANOVA table based on the study's findings is shown here: ANOVA Source of Variation Textbooks Retailer Error Total SS 16,624 2.4 df MS F 17,477.6 Based on the study's findings, was it correct to block for differences in textbooks? Conduct the appropriate test at the alpha = 0.10 level of significance.
A computer manufacturing company produces 2 products: desktop computers and laptops. The quality controller wants to see if the proportion of defective desktop computers is higher than the proportion of defective laptops. To check this, he takes a random sample of 185 desktop computers and observes that 16 are defective and he also takes a random sample of 195 laptops and observes that 10 are defective. Assume a normal sampling distribution. Test an appropriate hypothesis and state your conclusion. Use a significance level of 0.01. (a) What are the null and alternative hypotheses? Ho: P 0.0 HA: P + 0.0 (b) What is the test statistic? (Round your answer to 2 decimal places, if needed.) (c) Using the statistical table, what is the p-value? (Round your answer to 4 decimal places, if needed.) Check (d) Based on the p-value, fail to reject the null hypothesis.