Suppose that T = (0^ - 0) / s { 0^ } ~ t ( v = 27 ) We want to test Ho : 0 = 10 vs. Ha : 0 + 10. From a random sample of size n, we calculated 0^ = 21,7 and s {0^} = 3,5. i - Give the observed value of the test statistic t, and the value p. ii - Based on the p value of Part i, what is the conclusion of the test at a = 5%. %3D %3D %3D
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- The null and alternative hypotheses for a test are given, as well as some information about the actual sample and the statistic that is computed for each randomization sample. H0:μ=20H0:μ=20 vs Ha:μ>20Ha:μ>20Sample: x_=12x_=12, s=3.8s=3.8, n=40n=40Randomization statistic: x_ (a) Indicate where the randomization distribution will be centered. (b) Indicate whether the test is a left-tail test, a right-tail test, or a two-tailed test.6) Describe the difference between a two-sample (independent) t-test and an ANOVA (in terms of what they compare) 3) [t (47) = -8.21, p = .003] Based on the parenthetical statement given above, what is the sample size for this study?A sample is selected from a population with population mean = 50 After a treatment is administered to the individuals in the sample, the mean is found to be M = 55 and the variance is s ^ 2 = 64 a. If the sample has n = 36 scores, then conduct the four steps of hypothesis testing to evaluate the significance of the treatment effect and calculate Cohen's d to measure the size of the treatment effectUse a two-tailed test with alpha fevel = .05
- 18 of 30 Questions Completed 22 out of 30 Resources Submit All Press esc to exit full screen 1 Question The mean weight of loaves of bread produced at the bakery where you work is supposed to be 1 pound. You are the supervisor of 2 Question quality control at the bakery, and you are concerned that new employees are producing loaves that are too light. 3 Question We want to test Ho : µ = 1; На : и < 1 where u — the true mean weight (in pounds) of bread loaves produced at the bakery. a Suppose you weigh an SRS of bread loaves and find that the mean weight is 0.975 pounds. 4 Question 5 Question Which of the following statements about the hypotheses is true? 6 Question There is some evidence for the null hypothesis. 7 Question O There is no evidence for the null hypothesis. 8 Question There is no evidence for the alternative hypothesis. O There is some evidence for the alternative hypothesis. 9 Question 10 Question 11 Question 12 Question 13 Question 14 Question 15 Question 16 QuestionQuestion 19 A manufacture makes light-weight sneakers, and claim that the average weight of one sneaker is no bigger than 2 pounds. To verify this claim, a sample of 9 sneakers are weighed, and the sample mean is 2.4 pounds with the sample variance of 0.25 pounds^2. Assuming the weights of sneakers are normally distributed, we would like to test the claim of the manufacture at 10% level of significance. Please select the correct statement from below:A sample of 20 observations is taken from the normal distribution where the sample mean is 3. The normal distribution has a mean of 0 and a variance of e^beta. a)Find the estimator for the method of moments for beta and the numerical value of it?
- The diameter of steel rods manufactured on two different machines is being investigated. Suppose that the diameter of a rod is normally distributed, despite which machine is used to make the rod. Independent samples of n1=15 rods (from the first machine) and n2=17 rods (from the second machine) are randomly selected. The sample mean and sample variance of the first sample (of 15 rods) are xbar1=8.73, s1^2=0.34, respectively. The sample mean and sample variance of the second sample (of 17 rods) are xbar2=8.68 and s2^2=0.39, respectively. Based on these two samples, one can be 95% confident that that ratio of the two population variances, sigma1^2/sigma2^2 (i.e., the population variance of diameter of steel rods manufactured on the first machine over that on the second machine). Based on the data from these two independent random samples that we assume to arise from two normal populations, we would like to test the null hypothesis that the two population variances are the same versus the…A common characterization of obese individuals is that their body mass index is at least 30 [BMI = weight/(height)2, where height is in meters and weight is in kilograms]. An article reported that in a sample of female workers, 265 had BMIS of less than 25, 159 had BMIS that were at least 25 but less than 30, and 121 had BMIS exceeding 30. Is there compelling evidence for concluding that more than 20% of the individuals in the sampled population are obese? (a) State the appropriate hypothe Open SALT in a new tab e level of 0.05. Ho: P = 0.20 H₂: P 0.20 Ho: p > 0.20 Ha: P = 0.20 Ho: P = 0.20 H₂: P = 0.20 Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) Z = P-value = What can you conclude? Do not reject the null hypothesis. There is not sufficient evidence that more than 20% of the population of female workers is obese. O Do not reject the null hypothesis. There is sufficient evidence that…Question 8 Suppose you are testing the hypothesis that p> 0.51. You take a random sample of size n = 64. The distribution needed for the test is: p' ~ N(0.51, ?) Round your answer to three decimals. Submit Question ctor • Previous MacBook Air 20 D00 F4 F5 F7 F8 F9 F2 F3 @ $ % & * 2 4 5 6 7 8 # 3
- To evaluate the effect of a treatment, one sample of n=8 is obtained from a population with population mean: u=40 and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be M=35. 1. If the sample variance is s^2=32, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with alpha=.05? (show work please, and state both experimental and statistical hypotheses, and state your decision regarding the H0. (all 4 steps of hypothesis test) 2a. If the sample variance is s^2=72, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with alpha=.05? (please show your work and state your decision regarding the H0.) 2b. Calculate Effect size by using r^2 (percentage of variance explained) and state the meaning of effect size.A common characterization of obese individuals is that their body mass index is at least 30 [BMI = weight/(height)2, where height is in meters and weight is in kilograms]. An article reported that in a sample of female workers, 269 had BMIs of less than 25, 156 had BMIs that were at least 25 but less than 30, and 121 had BMIs exceeding 30. Is there compelling evidence for concluding that more than 20% of the individuals in the sampled population are obese? (a) State the appropriate hypotheses with a significance level of 0.05. H0: p = 0.20Ha: p > 0.20H0: p > 0.20Ha: p = 0.20 H0: p = 0.20Ha: p < 0.20H0: p = 0.20Ha: p ≠ 0.20 Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) z=P-value= What can you conclude? Reject the null hypothesis. There is sufficient evidence that more than 20% of the population of female workers is obese.Reject the null hypothesis. There is not…The diameter of steel rods manufactured on two different machines is being investigated. Suppose that the diameter of a rod is normally distributed, despite which machine is used to make the rod. Independent samples of n1=15 rods (from the first machine) and n2=17 rods (from the second machine) are randomly selected. The sample mean and sample variance of the first sample (of 15 rods) are xbar1=8.73, s1^2=0.34, respectively. The sample mean and sample variance of the second sample (of 17 rods) are xbar2=8.68 and s2^2=0.39, respectively. Based on these two samples, one can be 95% confident that that ratio of the two population variances, sigma1^2/sigma2^2 (i.e., the population variance of diameter of steel rods manufactured on the first machine over that on the second machine), lies between [Put Answer Here] and [Put Answer Here] . Please keep three digits past the decimal point.