Assume that the 95% confidence interval for the true effect ofa price on amount of beef purchased is between 0.30 and0.38. Which of the following statements is incorrect?O The estimated coefficient is 0.34.At a 5% significance level, we will reject the null hypothesis thatthis coefficient equals zero, against the alternative that it isdifferent from zero.There is a 95% chance that a random sample will produce aconfidence interval that includes the true coefficient.There is a 95% chance that the true coefficient is between 0.30and 0.38.

Given, 95% confidence interval for the true effect is 0.30 and 0.38.

Answered: Assume that the 95% confidence interval…

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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The 95% confidence interval for a one group, continuous outcome scenario is calculated. The mean is 4 with a 95% confidence interval of 2 to 6. These findings are interpreted in the following manner: "We are 95% confident that the true standard deviation is between 2 and 6." Is this a correct interpretation? Yes, it is correct No, it is not correct
Sal knows that parties of people on average spend 75 minutes at their restaurant. They wonder if this average is significantly different on the weekends. They found the average time spent by the 30 parties which dined there this weekend was 82 minutes with a SD of 17 minutes. Assume an alpha of .05. The lower end of the 95% confidence interval is and the higher end of the 95% confidence interval is.
1. A 90% confidence interval is wider than a 99% confidence interval using the exact same data. True False ONLY If false, change the underlined portion by putting the correct answer here (leave blank if true): 2. The null hypothesis if you are trying to find out if you have enough evidence to conclude that the population mean is different than 55 would be Ha: µ ≠ 55. True False If false, change the underlined portion by putting the correct answer here (leave blank if true): 3. A p-value of 0.017 provides more evidence against the null hypothesis than a p-value of 0.005. True False ONLY If false, change the underlined portion by putting the correct answer here (leave blank if true):
2. You are going to construct a 90% confidence interval for the proportion ofadults that have a post-secondary education. You want the margin of errorto be .03. Your initial guess is that 35% of the population has a postsecondary education. What should the sample size be to achieve thismargin of error?
If all the confidence intervals overlapped, does that imply that the mean must be in that overlap? I claim 49.5% of the study population is female. Conduct a hypothesis to test if I am wrong, to see if the population proportion is of female patients is not 49.5%. Use a 5% level of significance. State your conclusion to each hypothesis test. What is a Type I error? How many of your hypothesis tests agree? If different samples gave you different hypothesis test results (i.e. some rejected the null hypothesis and some did not) does that mean your sampling design for the incorrect hypothesis test(s) was faulty?
A random sample of 318 students from a large college were asked if they are planning to visit family during Thanksgiving break. Based on this random sample, a 99% confidence interval for the proportion of all students at this college who plan to visit family during Thanksgiving break is 0.78 to 0.98. Which of the following is the correct interpretation of the confidence interval? options: We are 95% confident that the interval from 0.78 to 0.98 captures the true proportion of all students at this college who plan to visit family during Thanksgiving break. We are 95% confident that the interval from 0.78 to 0.98 captures the true proportion of all students in this sample who plan to visit family during Thanksgiving break. We are 95% confident that the interval from 0.78 to 0.98 captures the true proportion of all students at this college who said they plan to visit family during Thanksgiving break. None of these is correct.
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Forty seven subjects who were at least 20% overweight took nart in a group support program for 10 weeks. The weight of each subject was recorded at the beginning of the program and at the end of the program. A 95% confidence interval for the mean difference in weight loss (before - after) was found to be (12. 18) pounds. Could this information be used to conclude whether we would have rejected the null hypothesis that the program had no effect on average weight loss for people at least 20% over weight, using a significance level of 0.05? O No, there is no relationship between confidence intervals and hypothesis tests. O Yes, because 20% is not contained in the interval. O Yes, because the confidence interval does not include zero. O No, because the confidence interval does not include zero.
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A study was conducted to measure the effectiveness of hypnotism in reducing pain. The measurements are centimeters on a pain scale before and after hypnosis. Assume that the paired sample data are simple random samples and that the differences have a distribution that is approximately normal. Construct a 95% confidence interval for the mean of the "before-after" differences. Does hypnotism appear to be effective in reducing pain? Before After 6.3 6.8 2.4 7.3 11.8 8.3 7.5 3.4 5.4 2.3 7.9 8.6 8.1 6.3 3.3 2.7 Construct a 95% confidence interval for the mean of the "before after" differences. H(Round to two decimal places as needed.)

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