standard deviation to ge the probablity of at least 3/4 of water consumption.
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I have a hard time figuring it out. Kindly explain in b, why the interpretatoon of chebyshev's theorem uses mean + 2 standard deviation to ge the
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- #1) Flying time on an old route between 2 cities has a mean value of µ =5.25 hours with standard deviation is o =0.6 hours. There are 36 flights on a new route where the mean is x = 4.90 hours. Does this indicate that the average flying time for the new route is less than 5.25 hours? Use a 5% level of significance.i just cant seem to get these problemsCalculate the mean and standard deviation for the two variable separately.
- A random sample of 1000 oranges showed that the mean amount of juice per orange was 8.2 fluid ounces, with a standard deviation of 1.5 fluid ounces. (a) Determine the z-score, to the nearest hundredth, of an orange that produced 6.8 fluid ounces of juice.(b) The z-score for one orange was 3.03. How much juice was produced by this orange? Round to the nearest tenth of a fluid ounce.A random sample of SAT scores has a sample mean of x¯=1060 and sample standard deviation of s=195. Use the Empirical Rule to estimate the approximate percentage of SAT scores that are less than 865. Round your answer to the nearest whole number (percent).A random sample of 1000 oranges showed that the mean amount of juice per orange was 8.2 fluid ounces, with a standard deviation of 1.5 fluid ounces. (a) Determine the z-score, to the nearest hundredth, of an orange that produced 6.4 fluid ounces of juice. (b) The z-score for one orange was 3.05. How much juice was produced by this orange? Round to the nearest tenth of a fluid ounce.
- Only D and Ejust the e partA somewhat outdated study indicates that the mean number of hours worked per week by software developers is 44. We have good reason to suspect that the mean number of hours worked per week by software developers, μ, is now less than 44 and wish to do a statistical test. We select a random sample of software developers and find that the mean of the sample is 39 hours and that the standard deviation is 4 hours. Based on this information, complete the parts below. (a) What are the null hypothesis H and the alternative hypothesis H₁ that should be used for the test? H : μ 2 44 0 H₁ : µ < 44 1 (b) Suppose that we decide to reject the null hypothesis. What sort of error might we be making? Type I (c) Suppose the true mean number of hours worked by software engineers is 44 hours. Fill in the blanks to describe a Type I error. A Type I error would be when, in fact, μ is the hypothesis that u is 3 OThe distribution of scores on a standardized aptitude test is approximately normal with a mean of 490 and a standard deviation of 105. What is the minimum score needed to be in the top 5% on this test? Carry your intermediate computations to at least four decimal places, and round your answer to the nearest integer.A somewhat outdated study indicates that the mean number of hours worked per week by software developers is 44. We have good reason to suspect that the mean number of hours worked per week by software developers, H, is now less than 44 and wish to do a statistical test. We select a random sample of software developers and find that the mean of the sample is 40 hours and that the standard deviation is 5 hours. Based on this information, complete the parts below. (a) What are the null hypothesis H, and the alternative hypothesis H, that should be used for the test? H, :0 OSO H :0 D=0 (b) Suppose that we decide to reject the null hypothesis. What sort of error might we be making? (Choose one) ? (c) Fill in the blanks to describe the Type II error that could occur if the true mean number of hours worked by software engineers is 38 hours. A Type II error would be (Choose one) v the hypothesis that l is (Choose one) (Choose one) when, in fact, H is (Choose one)