A decade-old study found that the proportion of high school seniors who felt that "getting rich" was an important personal goal was 72%. Suppose that we have reason to believe that this proportion has changed, and we wish to carry out a hypothesis test to see if our belief can be supported. M State the null hypothesis H, and the alternative hypothesis H, that we would use for this test. Ho: 0 H: 0 OsO D>0 D20 O=0 ?

A decade-old study found that the proportion of high school seniors who felt that "getting rich" was an important personal goal was 72%. Suppose that we have reason to believe that this proportion has changed, and we wish to carry out a hypothesis test to see if our belief can be supported. M State the null hypothesis H, and the alternative hypothesis H, that we would use for this test. Ho: 0 H: 0 OsO D>0 D20 O=0 ?

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Description: A decade-old study found that the proportion of high school seniors whofelt that "getting rich" was an important personal goal was 72%. Supposethat we have reason to believe that this proportion has changed, and wewish to carry out a hypothesis test

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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#12
Question Help Previously, 10.4% of workers had a travel time to work of more than 60 minutes. An urban economist believes that the percentage has increased since then. She randomly selects 75 workers and finds that 17 of them have a travel time to work that is more than 60 minutes. Test the economist's belief at the α=0.1 level of significance. What are the null and alternative hypotheses? H0: ▼ pp muμ alphaα ▼ greater than> less than< not equals≠ equals= nothing versus H1: ▼ pp muμ alphaα ▼ not equals≠ less than< greater than> equals= nothing (Type integers or decimals. Do not round.) Because np01−p0=nothing ▼ equals= not equals≠ less than< greater than> 10, the normal model ▼ may not may be used to approximate the P-value. (Round to one decimal place as needed.) Find the P-value. P-value=nothing (Round to three decimal places as needed.) Is there sufficient evidence to support the…
You perform a hypothesis test for a population proportion with the null hypothesis that the proportion is equal to 0.3. With alpha = 0.05, the test reveals that you do NOT have enough evidence to conclude that p is different from 0.3. If you had done the same test with the same data, but had used alpha = 0.10, what conclusion would you have made? Group of answer choices You would reject the null hypothesis. You would not reject the null hypothesis The answer cannot be determined with the information given.
#6
Identify the appropriate null and alternative hypotheses each of the following situations. (a) New York is known as “the city that never sleeps.” A random sample of 25 New Yorkers were asked how much sleep they get per night. Do these data provide convincing evidence that New Yorkers on average sleep less than 8 hours a night? The H0 : μ = The HA : μ < (b) Employers at a firm are worried about the effect of March Madness, a basketball championship held each spring in the US, on employee productivity. They estimate that on a regular business day employees spend on average 15 minutes of company time checking personal email, making personal phone calls, etc. They also collect data on how much company time employees spend on such non- business activities during March Madness. They want to determine if these data provide convincing evidence that employee productivity decreases during March Madness The H0: μ = The HA: μ >
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A decade old study found that the proportion of high school seniors who felt that getting rich was an important personal goal was 69%. Suppose that we have reason to believe that this proportion has changed, and we wish to carry out a hypothesis test to see if our belief can be supported. State the null hypothesis H o and the alternative hypothesis H 1 that we would use for this test. H o: H 1:
A hypothesis test is performed in which the research (alternative) hypothesis states that more than 15% of a population are unemployed. The p-value for the test is calculated to be 0.018 (with the alpha = 0.05). Which of these statements is correct? A. We reject the null hypothesis and conclude that the research hypothesis is correct: more than 15% of the population are unemployed. B. We reject the null hypothesis and conclude that more than 18% of the population are unemployed. C. We fail to reject the null hypothesis and conclude that exactly 15% of the population are unemployed. D. We fail to reject the null hypothesis and conclude that exactly 85% of the population are unemployed.
For each of the following scenarios, state the null and alternative hypotheses. Scenario A: You read in a report that preschool-aged children have on average 5.2 books at home. You are concerned that children in your community have fewer books.
Shannon conducts a study and tells you that when she calculated Cohen's d, it was 0.00. What conclusion would you reach about the effects of her independent variable? Question 38 options: The effect of the independent variable was statistically significant because d was less than .05. The independent variable had no effect in her study, and the null hypothesis should not be rejected. The independent variable and the dependent variable are perfectly correlated with one another. No conclusion can be reached because Shannon did not tell you about t.
Some people say that more babies are born in September than in any other month. To test this claim, you take a random sample of 150 students at your school and find that 21 of them were born in September. You are interested in whether the proportion born in September is greater than 1/12-what you would expect if September was no different from any other month. Thus, the null hypothesis is Ho: p=1/12 . The P-value for your test is 0.0056. Which of the following statements correctly interprets the P-value? Assuming that the proportion of babies born in September is greater than any other month, there is a 0.0056 probability of getting a sample proportion of 21/150 or greater by chance alone. Assuming that the proportion of babies born in September is the same as any other month, there is a 0.0056 probability of getting a sample proportion of 21/150 or greater by chance alone. The probability that the proportion of September birthdays is not equal to 1/12 is 0.0056. The probability that…
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