J 1 (b) Compute the value of the test statistic. Round the answer to two decimal places.Part: 2/5Part 3 of 5(c) Compute the P-value. Round the answer to at least four decimal places.P-value=Part 4 of 5x(d) Determine whether to reject H₁-At the a=0.10 level, (Choose one)rejectdo not rejectthe null hypothesis Ho Tweet tweet: An article reported that 73% of companies have Twitter accounts. An economist thinks the percentage is lower at technologycompanies. She samples 70 technology companies and finds that 50 of them have Twitter accounts. Can she conclude that less than 73% oftechnology companies have Twitter accounts? Use the α = 0.10 level of significance and the P-value method with the TI-84 Plus calculator.Part: 0 / 5Part 1 of 5(a) State the appropriate null and alternate hypotheses.Ho:H₁:This hypothesis test is a (Choose one) test.right-tailedleft-tailedtwo-tailedロ<ロ#0X□<口Р0=0

Given: Population proportion p0=0.73 Sample size n=70 Sample number of companies having Twitter…

Answered: Tweet tweet: An article reported that…

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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Similar questions

A recent clinical trial compares the use of Drug A to the standard treatment of symptomatic genital herpes. The study involves 10, 000 people with genital herpes who are randomly assigned to receive Drug A or standard treatment. Results of the trial show that the duration of symptoms in patients who received Drug A is 4 days versus 4-5 days in patients who received standard symptomatic measures (p<0.5). The manufacturer of Drug A recommends the use of Drug A in the clinical treatment of genital herpes. Based on the study’s results, which of the following is the most appropriate reason to question the manufacturer’s recommendation? a) The investigators used an inappropriate study design b) It is likely that there was a Type I error c) It is likely that there was Type II error d) The observed difference is not clinically significant e) The observed difference is not statistically significant f) There was insufficient power
A researcher has access to 100 participants for an independent sample design study, and she is hoping to achieve power = .80.What effect size will her data need to achieve to make that possible?
An experimenter is interested in the effects of two independent variables onself-esteem. What is better about conducting a factorial experiment thanconducting two separate experiments, one for each independent variable?
In a study of the effects of testing on enhancing memory, Akan and colleagues (2018) performed an a priori power analysis to determine the sample size they would need to detect a small to medium-sized effect (d = 0.40) with 80% power and an alpha level of .05. Their analysis indicated that they would need 52 participants. a. Why did Akan and colleagues power their study to find an effect of size d = 0.40? b. What would happen to the power of the study if the real effect size that Akan and colleagues were studying was smaller than d = 0.40? c. What would be the easiest way for Akan and colleagues to increase their power without increasing their chances of making a Type I error?
Curing diabetes: Vertical banded gastroplasty is a surgical procedure that reduces the volume of the stomach in order to produce weight loss. In a recent study, 82 patients with Type 2 diabetes underwent this procedure, and 59 of them experienced a recovery from diabetes. Does this study provide convincing evidence that less than 76% of those with diabetes who undergo this surgery will recover from diabetes? Use the a = 0.05 level of significance and the P-value method with the TI-84 Plus calculator. State the appropriate null and alternate hypotheses. Compute the -value. Round the answer to at least four decimal places. Determine whether to reject H0 State a conclusion.
Two reporters are both interested in finding the proportion of people in town who are unemployed. They each collect a random sample and use the proportion of unemployed people in the sample to run 100 simulations to determine a margin of error. The first reporter claims the proportion of unemployed people in town is 0.045 with a margin of error of 0.011. The second reporter claims the proportion of unemployed people in town is 0.037 with a margin of error of 0.02. Why do you think the estimated proportion of unemployed people in town is different for the 2 reporters? Why do you think the margin of error is different for the 2 reporters?
A foreign car manufacturer advertises that its newest model, the Bullet, rarely stops at gas stations. In fact, they claimed that its EPA rating for highway driving is at least 32.5 mpg. However, the results of a recent independent study determined the mpg for 50 identical models of the Bullet, with these results: n = 50, x= 30.4 mpg, and s = 5.3 mpg.This report failed to offer any conclusion, and you have been asked to interpret these results by someone who has always felt that the 32.5 figure is too high. What would be your conclusion using a significance level of 5%?Z = 1.645
An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use alpha=.05. Factor A is method of loading and unloading; Factor B is the type of ride. Type of Ride Roller Coaster Screaming Demon Long Flume Method 1 46 52 48 48 44 44 Method 2 47 46 52 49 42 48 Set up the ANOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square -value Factor A Factor B Interaction…
A student wondered what proportion of a large jar of thousands of marbles were red and speculated that it was 0.30. She took a random sample of 50 marbles and got 18 red marbles, for a sample proportion of 0.36. Below is a dotplot of 100 simulated samples of drawing 50 marbles from a population that is set up to have the proportion of "red marbles" to be 0.30. Based on this dotplot, would getting a sample of 50 marbles to have a 0.36 proportion of red marbles be significant evidence that the true proportion of red marbles in the whole jar is greater than 0.30?
Curing diabetes: Vertical banded gastroplasty is a surgical procedure that reduces the volume of the stomach in order to produce weight loss. In a recent study, 82 patients with Type 2 diabetes underwent this procedure, and 59 of them experienced a recovery from diabetes. Does this study provide convincing evidence that those with diabetes who undergo this surgery will recover from diabetes differs from 64%? Use the =α0.10 level of significance with the P-value method and Excel.
In a public opinion survey, 60 out of a sample of 100 high-income voters and 40 out of a sample of 75 low-income voters supported a decrease in value-added tax, VAT. Conclude at the 5% level of significance that the population of voters favouring a VAT decrease differs between high- and low-income voters. (Where p1 is the proportion of all high-income voters who supported a decrease in VAT; p2 is the same for the low-income voters). The rejection region to test the above hypothesis at the 5% significance level (rounded off to two decimals) is: A. T < -1.96 B. T < -1.64 or Z > 1.64 C. Z < -1.96 or Z > 1.96 D. Z < -1.64 E. None of the preceding
In a public opinion survey, 60 out of a sample of 100 high-income voters and 40 out of a sample of 75 low-income voters supported a decrease in value-added tax, VAT. Conclude at the 5% level of significance that the population of voters favouring a VAT decrease differs between high- and low-income voters. (Where p1 is the proportion of all high-income voters who supported a decrease in VAT; p2 is the same for the low-income voters). The rejection region to test the above hypothesis at the 5% significance level is: A. T < - 1.96 B. T < - 1.96 or Z > 1.64 C. Z< - 1.96 or Z > 1.96 D. Z < -1.64

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