The calibration of a scale is to be checked be weighing a 10-kg test specimen 25 times. Suppose that the results of different weighings are independent of one another and that the weight on each trial is normally distributed with σ = .2kg. Let µ denote the true average weight reading on the scale. (a) What hypotheses should be tested? (b) Suppose the scale is to recalibrated if either ¯y ≥ 10.1032 or ¯y ≤ 9.8968. What is the probability that recalibration is carried out when it is actually unnecessary? (c) What is the probability that recalibration is judged unnecessary when in fact µ = 10.1? When µ = 9.8? (d) Let z = y¯−10 σ/√ n . For what value c is the rejection region in part (c) equivalent to the two-tailed rejection region: either z ≥ c or z ≤ −c? (e) If the sample size were only 10 rather than 25, how should the procedure in part (e) be altered so that α = 0.05? (f) Using the test of part (e), what would you conclude from the following sample data: 9.981, 10.006, 9.857, 10.107, 9.888, 9.793, 9.728, 10.439, 10.214, 10.19 (g) Reexpress the test procedure of part (b) in terms of the standardized test statistic Z = Y¯ −10 σ/√ n
The calibration of a scale is to be checked be weighing a 10-kg test specimen 25...
The calibration of a scale is to be checked by weighing a 12 kg test specimen 25 times. Suppose that the results of different weighings are independent of one another and that the weight on each trial is normally distributed with σ-0.200 kg. Let μ denote the true average weight reading on the scie (a) What hypotheses should be tested? Ha: μ#12 Ha: μ > 12 Ha: μ < 12 Ha: μ < 12 11.847 (Round your answer to four...
The calibration of a scale is to be checked by weighing a 11 kg test specimen 25 times. Suppose that the results of different weighings are independent of one another and that the weight on each trial is normally distributed with σ = 0.200 kg. Let μ denote the true average weight reading on the scale. (b) With the sample mean itself as the test statistic, what is the P-value when x = 10.82? (Round your answer to four decimal...
For healthy individuals the level of prothrombin in the blood is approximately normally distributed with mean 20 mg/100 mL and standard deviation 4 mg/100mL. Low levels indicate low clotting ability. In studying the effect of gallstones on prothrombin, the level of each patient in a sample is measured to see if there is a deficiency. Let µ be the true average level of prothrombin for gallstone patients. a) What are the appropriate null and alternative hypothesis? b.) Let Xbar denote...
Which of the following statements is not true if a test procedure about the population mean μ is performed when the population is normal with known standard deviation σ? A. The rejection region for level α test is z ≥ zα/2 end if the test is an lower-tailed test. B. The rejection region for level α test is z ≤ zα if the test is an upper-tailed test. C. The rejection region for level α test is z ≥ zα...
Question 13 (1 mark) Attempt 6 The calibration of a scale is to be checked by weighing a 30kg test specimen. A random sample of 16 measurements yielded a sample standard deviation of 0.19 kg and sample mean 29.91 kg Assuming the central limit theorem applies and s o, find the p-value associated with the following hypothesis test. Ho H 30 versus Ha: u 30 Your answer can be rounded to four decimal digit accuracy when entered. p-value-
Question 13...
5. (worth 16 points) Consider a test of H : μ-65 versus Ha μ > 65. The test uses σ-10, α-01 size of n 64. and a sample a. Describe the sampling distribution of Fassuming Ho is true. Mean (t)- Standard deviation (oz)- Shape: Sketch the sampling distribution of x assuming Ho is true is used as the test stat istic. Locate the rejection region on your graph from b. Specify the rejection region when x part a. C. Describe...
In R, Part 1. Learn to understand the significance level α in hypothesis testing. a) Generate a matrix “ss” with 1000 rows and 10 columns. The elements of “ss” are random samples from standard normal distribution. b) Run the following lines: mytest <- function(x) { return(t.test(x,mu=0)$p.value) } mytest(rnorm(100)) Note that, when you input a vector in the function mytest, you will get the p-value for the one sample t-test H0 : µ = 0 vs Ha : µ =/= 0....
Part A. Score on 25 point test is normally distributed with mean 22 and standard deviation 5. You took a sample of 9 students. The mean for this group is 19.111111 Test the hypothesis that the performance of this group is different than the regular group. Use α=.05. What is the alternative hypothesis? What is the rejection region? Calculated z What is your decision? Yes or no? You believe that the group from an honors and would perform better than...
2. This week, we studied the test score Y versus number of hours, X, spent on test preparation, of a student in a French class of 10 students with the collected results shown below Number of hours studied Test score 31 10 14 73 37 12 60 91 21 84 17 (a) Use linear normal regression analysis method or the least-squares approximation method to predict the average test score of a student who studied 12 hours for the test (b)...
1 question 5 parts
- 150 m/s 2.656 x 10-25 kg -1.28 x 10-18 C 1 0.7 m | 17 A y 021 (part 1 of 5) 10.0 points A long, straight wire is in the plane of the page and carries a current of 17 A. Point P is also in the plane of the page and is a perpendicular distance 0.7 m from the wire, as shown below. P z is upward from the paper With reference to...