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Q: You may need to use the appropriate appendix table or technology to answer this question. Given are…
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Q: Q1: Consider regression model Y, = R+ B,X; + B;X; +U,with hypothetical data ΣνΧ,-50, Σ-20, Σνx, 60,…
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- Suppose that we wish to test whether the population mean is greater than 80, where the population standard deviation is known to equal 20. Also, suppose that a random sample of 100 observations randomly selected has a mean equal to 84. Formulate the null and alterative hypotheses. Compute the p-value. Using α =0.01, what is your conclusion? Apply the critical value method when a = 0.1.We are wondering if the proportions of voters who rejected the proposal to institute astate lottery vary by sex. Random samples from each sex are gathered and the following samplestatistics computed. For males (sample1): •proportion (p1) =0.35 •Sample size (n1) =178 For females (sample2): •Proportion (p2) =0.25 •Sample size (n2) =212 Test the research question atα=0.05 (two-tailed) with the five-step processes and concludeyour decisions. 1. Evaluate assumptions if we can use at-test and summarize parameters and statistics. 2. State the null hypothesis (i.e.,H0) and the working hypothesis (i.e.,H1). 3. Establish the critical region fort-distributions atα=0.05with a two-tailed test. 4. Compute the test statistics (i.e.,tobtained) and the corresponding probability (i.e.,p-value). 5. Make a decision and interpret test results.A random sample X1, X2, ..., Xn is obtained for a random variable X believed to be distributed as Beta(a, 7) (notice that B = 7 is known). Use the method of moments to determine the value of given 0.72.
- A sample obtained from a population with σ = 12 has a standard error of σx̅ = 2 points. How many scores are in the sample?N= 150 observations were collected on a time series that was identified as a AR(2) time series. The following statistics were computed from the data. Mean - 45.0 Variance 15.6 Autocorrelation function (up to lag 5) r1 = 0.80, r2 = .50, rз = .26, r4 = -.10, rs = 0.08: == Estimate the parameters of the model using the method of moments.A random sample of 49 measurements from a population with population standard deviation ?1 = 3 had a sample mean of x1 = 11. An independent random sample of 64 measurements from a second population with population standard deviation ?2 = 4 had a sample mean of x2 = 13. Test the claim that the population means are different. Use level of significance 0.01.
- Suppose X1,..., Xn is a random sample from an exponential distribution with mean e. If X = 17.9 with n = 50, find (a) a one-sided 95% confidence interval for 0, and (b) a two-sided 95% confidence interval for 0.A random sample of 10 observations from population A has sample mean of 152.3 and a sample standard deviation of 1.83. Another random sample of 8 observations from population B has a sample standard deviation of 1.94. Assuming equal variances in those two populations, a 99% confidence interval for μA − μB is (-0.19, 4.99), where μA is the mean in population A and μB is the mean in population B. (a) What is the sample mean of the observations from population B? (b) If we test H0 : μA ≤ μB against Ha : μA > μB, using α = 0.02, what is your conclusion?X. is found to be 19.1, and the A simple random sample of sizen is drawn from a population that is normally distributed. The sample mean, sample standard deviation, s, is found to be 4.9. (a) Construct a 96% confidence interval about u if the sample size, n, is 39. (b) Construct a 96% confidence interval about u if the sample size, n, is 68. How does increasing the sample size affect the margin of error, E? (c) Construct a 98% confidence interval about u if the sample size, n, is 39. How does increasing the level of confidence affect the size of the margin of error, E? (d) If the sample size is 14, what conditions must be satisfied to compute the confidence interval? (a) Construct a 96% confidence interval about u if the sample size, n, is 39. Lower bound: Upper bound: (Round to two decimal places as needed.) (b) Construct a 96% confidence interval about u if the sample size, n, is 68. Lower bound: ; Upper bound: (Round to two decimal places as needed.) How does increasing the sample…
- Let X1, X2, ..., X, be a random sample from f(x;0) = 0e-tI(0,00)(x). Find a 100y or (1- a)100 percent confidence interval for the mean of the population.4An electrochemical engineer has manufactured a new type of fuel cell (a type of battery)which has to undergo testing to prove its duration: the time it takes to go from fullycharged to completely uncharged, under a fixed nominal load. From the computational simulation models she has, the variance of the duration is σ2 = 4 h2 (hours squared)but she wants to estimate the mean duration time μ. To achieve this she is determinedto do the tests multiple times in independent but identical conditions. Can you findwhat is the smallest number of these tests that she has to do in order for her estimatedmean duration to be within ±0.2 h tolerance of the true mean with 95% certainty