Researchers have claimed that the average number of headaches per student during a semester of Statistics is 19. Statistics students believe the average is not equal to 19. In a sample of n= 14 students the mean is 22 headaches with a deviation of 2. Which of the following represent the null and alternative hypotheses necessary to test the students' belief? Select one: O Ho: l< 19 vs. Hr. p = 19 O Ho: u = 19 vs. Hr. u + 19 OHo: u = 19 vs. Hr. u < 19

Researchers have claimed that the average number of headaches per student during a semester of Statistics is 19. Statistics students believe the average is not equal to 19. In a sample of n= 14 students the mean is 22 headaches with a deviation of 2. Which of the following represent the null and alternative hypotheses necessary to test the students' belief? Select one: O Ho: l< 19 vs. Hr. p = 19 O Ho: u = 19 vs. Hr. u + 19 OHo: u = 19 vs. Hr. u < 19

Name: أنظمة التعلم الإلكترولیses/ UOP Faculties / 04-Faculty of Arts and Sc
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: أنظمة التعلم الإلكترولیses/ UOP Faculties / 04-Faculty of Arts and Sciences / Course by Semester / Semester 20201 / Principles of Statis- homeCalendarBadgesAll coursesCourse dashboardResearchers have claimed that the average number of headaches per

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The average American consumes 86 liters of alcohol per year. Does the average college student consume more alcohol per year? A researcher surveyed 12 randomly selected college students and found that they averaged 91.5 liters of alcohol consumed per year with a standard deviation of 17 liters. What can be concluded at the the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? v Select an answer v H: ? v Select an answer c. The test statistic V = (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ? v a f. Based on this, we should Select an answer v the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the populaton mean is significantly more than 86 at = 0.01, so there is statistically significant evidence to conclude that the population mean amount of alcohol consumed by college students is more…
O The FCC conducts broadband speed tests to measure how much data per second passes between a consumer's computer and the internet. As of August of 2012, the standard deviation of Internet speeds across Internet Service Providers (ISPS) was 12.2 percent. Suppose a sample of 15 ISPS is taken, and the standard deviation is 13.2. An analyst claims that the standard deviation of speeds is more than what was reported. State the null and alternative hypotheses, compute the degrees of freedom, the test statistic, sketch the graph of the p-value, and draw a conclusion. Test at the 1% significance level.
The average American consumes 91 liters of alcohol per year. Does the average college student consume a different amount of alcohol per year? A researcher surveyed 15 randomly selected college students and found that they averaged 72 liters of alcohol consumed per year with a standard deviation of 23 liters. What can be concluded at the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? v Select an answer v H: ? v | Select an answer v c. The test statistic ? (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ? v a f. Based on this, we should Select an answer v the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the populaton mean is significantly different from 91 at a = 0.01, so there is statistically significant evidence to conclude that the population mean amount of alcohol consumed by…
The average American consumes 86 liters of alcohol per year. Does the average college student consume more alcohol per year? A researcher surveyed 11 randomly selected college students and found that they averaged 95.8 liters of alcohol consumed per year with a standard deviation of 20 liters. What can be concluded at the the a= 0.05 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho ? Select an answer H₁: ? Select an answer c. The test statistic ? C d. The p-value = e. The p-value is ? a f. Based on this, we should Select an answer the null hypothesis. g. Thus, the final conclusion is that ... (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) O The data suggest the population mean is not significantly more than 86 at a = 0.05, so there is statistically insignificant evidence to conclude that the population mean amount of alcohol consumed by college students is equal to…
The mean number of eggs per person eaten in the United States is 244. Do college students eat a different number of eggs than the average American? The 60 college students surveyed averaged 255 eggs per person and their standard deviation was 64.4. What can be concluded at the a = 0.10 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? v Select an answer v Н: Select an answer V c. The test statistic ? v = (please show your answer to 3 decimal places.) d. The p-value (Please show your answer to 4 decimal places.) e. The p-value is ? va f. Based on this, we should Select an answer g. Thus, the final conclusion is that ... the null hypothesis. O The data suggest that the populaton mean is significantly different from 244 at a = 0.10, so there is statistically significant evidence to conclude that the population mean number of eggs consumed by college students per year is different from 244. O The data suggest…
Some college graduates employed full-time work more than 40 hours per week, and some work fewer than 40 hours per week. We suspect that the mean number of hours worked per week by college graduates, u, is different from 40 hours and wish to do a statistical test. We select a random sample of college graduates employed full-time and find that the mean of the sample is 44 hours and that the standard deviation is 4 hours. Based on this information, answer the questions below.
A test of sobriety involves measuring the subject's motor skills. Twenty randomly-selected sober subjects take the test and produce a mean score of 41.0 with a standard deviation of 3.7. At the 0.01 level of significance, test the claim that the true mean score for all sober subjects is equal to 35.0. Use the traditional method of testing hypotheses. The results for the test turn out to be: Ho: H = 35.0. H1:µ/35.0. Test statistic: t 7.252. Critical values: t = -2.861, 2.861. Reject Ho. There is sufficient evidence to warrant rejection of the claim that the mean is equal to 35.0. If a defense attorney argues the results are not valid because the sample size was too small, is his argument valid here? Yes, because the t-test is not as powerful as the z-test. No, because we rejected the null hypothesis. Yes, because we rejected the null hypothesis. O No, the sample size is never an issuc. O We need more information to answer.
It is suggested that the mean one-day travel expense by tourists in Moscow is $500 (assume all one-day travel expenses in Moscow are approximately normally distributed). In a random sample of 16 Moscow tourists, the sample mean one-day travel expense was $482 with a sample standard deviation s = 22.5. Our goal is to test whether or not the mean one-day travel expense is $500 or not. Real life conclusion? A) We lack evidence to suggest that the mean one-day travel expense for Moscow tourists is not $500. B) The mean one-day travel expense is $4820 C) The mean one-day travel expense is $500 D) Evidence strongly suggests that the mean one-day travel expense for Moscow tourists is not $500.
According to the College Board, scores on the math section of the SAT Reasoning college entrance test for the class of 2010 had a mean of 516 and a standard deviation of 116. Assume that they are roughly normal.One of the quartiles of the scores from the math section of the SAT Reasoning test is 438. The other quartile is _______.
The standard deviation of quiz scores in Math 22 of EE courses is 8.6. A professor believes this value to be less. He samples 20 quiz scores and finds that the standard deviation is 6.9. Does this sample provide enough evidence to suggest that the true standard deviation is less than 8.6?
Total blood volume (in ml) per body weight (in kg) is important in medical research. For healthy adults, the red blood cell volume mean is about µ = 28 ml/kg with a standard deviation of 4.75ml/kg. Red blood cells volume that is too low or too high can indicate a medical problem. Suppose he does a hypothesis test with a significance level of 0.01. Roger has had seven blood tests and the red blood cell volumes were: 32 25 41 35 30 37 29 Roger’s null hypothesis is that his blood tests are normal and that his alternative hypothesis is that something is wrong. Symbolically, the null and hypotheses are as follows Ho: µ = 28 ml/kg and Hi: µ ≠ 28 ml/kg What value of the test statistic (z) should he report? (Sampling a Normal Distribution for the Mean µ) Group of answer choices a. 0.99 b.2.42 c.2.62 d.2.22
Two species of fish have similar phenotypes to each other, researchers wonder if they can classify these fish species based on their sizes. One species has mean size of 10cm, with standard deviation of 1. The other species has mean size of 12cm, with standard deviation of 2. Size of 15 fish from each species were measured. a. Which hypothesis testing method can be used to compare the mean size of the two populations? Perform the test for a = 0.01. How does result of this test help the researchers to decide if they can classify these fish species based on their sizes? b. What is the power of the test? How does power of the test help the researchers to decide if they can classify these fish species based on their sizes?