Based on a random sample of size 43, a 93% confidence interval for μ was found to be (24.6, 28.38). This interval will be used to test the following hypotheses:Ho:= 22.3Ha: 22.3(a) What is the conclusion?Do not reject the null hypothesis. 22.3 is in the interval, and therefore is one of the plausible values for μ, according to this confidence interval.Reject the null hypothesis. 22.3 is not in the interval, and therefore is not one of the plausible values for μ, according to this confidence interval.Do not reject the null hypothesis. 22.3 is not in the interval, and therefore is not one of the plausible values for μ, according to this confidence interval.O Reject the null hypothesis. 22.3 is in the interval, and therefore is one of the plausible values for μ, according to this confidence interval.(b) What is the significance level of the test?(2 decimal places)(c) How many degrees of freedom are associated with this confidence interval?(whole number)

Answered: Image /qna-images/answer/ffe7c560-cc55-418a-815b-7b402c9291c0.jpg

Answered: Based on a random sample of size 43, a…

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 8CR

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A 95% confidence interval for the population mean μ was calculated to be (–0.3, 10.2), and the 90% confidence interval on the same set of data was calculated to be (0.5, 9.4). Which one of the following would be a possible p-value for the hypotheses: Ho : μ = 0 versus H1 : μ ≠ 0 ? a) 0.0648 b)0.05 c)0.0162 d)0.0324 e)0.1296
A 95% confidence interval for μ is computed to be (2.15, 2.75). For each of the following hypotheses, state whether Ho will be rejected at 0.05 level. Part: 0 / 4 Part 1 of 4 Ho: μ = 3 versus H₁ : µ‡3 Since the 95% confidence interval (Choose one) 0.05 level. contains does not contain Ho, then Ho (Choose one) be rejected at the X S
We want to investigate the correlation between concentration of Se (Selenium) in the teeth and its concentration in the liver in 20 Beluga 240 220 Whales. We suspect that the higher the concentration in the liver, the higher the concentration in the teeth. A plot of the data is given at right, and the following summary statistics are given for these data: 200 180 160 x = 20.68 Sx = 13.45 y = 156.60 Sy = 36.06 140 Se = 31.25 Before actually computing its value (that is, by just looking at the scatterplot), how do we know that r > 0 (rather than r = 0 or r < 0)? r = 0.54 120 10 20 30 40 Liver Se (ug/g dry wt) Tooth Se (ng/g dry wt)
We have created a 95% confidence interval for μ with the result (148, 196). What conclusion will we make if we test H0: μ = 190 vs. Ha:μ ≠ 190 at α = 5%? A. Reject the alternative hypothesis B. Reject the null hypothesis C. Fail to reject the null hypothesis D. Type I error
Only about 14% of all people can wiggle their ears. Is this percent different for millionaires? Of the 333 millionaires surveyed, 67 could wiggle their ears. What can be concluded at the αα = 0.10 level of significance? For this study, we should use The null and alternative hypotheses would be: H0:H0: (please enter a decimal) H1:H1: (Please enter a decimal) The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 3 decimal places.) The p-value is αα Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest the populaton proportion is significantly different from 14% at αα = 0.10, so there is statistically significant evidence to conclude that the population proportion of millionaires who can wiggle their ears is different from 14%. The data suggest the population proportion is not significantly different from 14% at αα = 0.10, so there is…
The mean length u of male geckos is 9.5 inches. A researcher studying a population of geckos in a certain region will conduct a hypothesis test to investigate whether there is evidence that the mean length is greater than 9.5 inches. A random sample of geckos was selected, and the sample mean i was calculated as 10 inches. Which of the following is the correct set of hypotheses? Họ : = 10 Ha : 5 + 10 A Ho : = 10 Ha : 5 9.5 Họ : 4 = 9.5 На : д<9.5 D Họ : µ = 9.5 Ha : 4 + 9.5 E
A sample of 1600 computer chips revealed that 42% of the chips do not fill in the first 1000 hours of their use. The companies promotional literature claimed that more than 39% do not fail in the first 1000 hours of their use. Is there a significant evidence at the 0.05 level to support the company's claim? State the null and alternative hypotheses for the above scenario. HO: and HA:
Only about 18% of all people can wiggle their ears. Is this percent different for millionaires? Of the 317 millionaires surveyed, 48 could wiggle their ears. What can be concluded at the αα = 0.05 level of significance? For this study, we should use The null and alternative hypotheses would be: H0:H0: (please enter a decimal) H1:H1: (Please enter a decimal) The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 3 decimal places.) The p-value is αα Based on this, we should the null hypothesis.
Only about 12% of all people can wiggle their ears. Is this percent lower for millionaires? Of the 382 millionaires surveyed, 38 could wiggle their ears. What can be concluded at the α = 0.05 level of significance? For this study, we should use The null and alternative hypotheses would be: H0:H0: (please enter a decimal) H1:H1: (Please enter a decimal) The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 3 decimal places.) The p-value is α Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest the populaton proportion is significantly lower than 12% at α = 0.05, so there is statistically significant evidence to conclude that the population proportion of millionaires who can wiggle their ears is lower than 12%. The data suggest the population proportion is not significantly lower than 12% at α = 0.05, so there is statistically…
A A refrigeration unit at a restaurant is supposed to be kept at 40°F. An inspector would like to test the hypotheses Ho: μ = 40 versus H: 40 where u = the true mean temperature for all times of the day. A 98% confidence interval based upon a random sample of 40 temperatures is 40.5 degrees to 42.1 degrees. Using the interval, what decision should be made? O The null hypothesis should be rejected at the α = 0.01 level. The null hypothesis should be rejected at the α = 0.02 level. O The null hypothesis should not be rejected at the α = 0.05 level. O The null hypothesis should not be rejected at the a = 0.10 level.

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