Preliminary analyses indicate that you can consider the assumptions for using nonpooledt-procedures satisfied. Researchers obtained the following data on the number of acutepostoperative days in the hospital using the dynamic and static systems. Obtain a 90% confidenceinterval for the difference, μ₁ −μ₂, between the mean numbers of acute postoperative days in thehospital with the dynamic and static systems. (Note: x₁ = 7.42, s₁ = 1.38, x₂ = 11.67, and s2 = 4.68)The 90% confidence interval is from to(Round to three decimal places as needed.)8710Dynamic4 87860 008 8Static14689137919

The following information has been given: x¯1=7.42 x¯2=11.67s1=1.38…

Answered: Preliminary analyses indicate that you…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Your company is evaluating two cloud-based secured data storage services. "Great Sky," the newer service, claims its uploading and downloading speeds are faster than the older service, "Clear and Steady Skies." You need to make a decision based on published access times for both services at different times and for varying file sizes. To make your decision, you purchase two statistical studies from which you discover the average download time for Great Sky is 0.67 sec. per MB and for Clear Steady Skies is 0.84. Additionally, the studies indicate the following sample information: NGS = 60 ncss = 50, SGS = 0.25 and scss = 0.55. Use a .05, and the five step hypothesis testing procedure to make the appropriate decision. Prepare an Excel worksheet properly labeled and well formatted to share with your boss (a very picky person that truly appreciates good looking work product).
A 95% two-sided confidence interval for μ which has been calculated using R turns out to be (0, 1). A 90% two-sided confidence interval based on the same data will contain the value 0.9 (True, cannot tell, or False)
Preliminary analyses indicate that you can consider the assumptions for using nonpooled t-procedures satisfied. Researchers obtained the following data on the number of acute postoperative days in the hospital using the dynamic and static systems. Obtain a 90% confidence interval for the difference, ₁-₂, between the mean numbers of acute postoperative days in the hospital with the dynamic and static systems. (Note: x₁ = 6.50, s₁=1.51, x₂ = 11.33, and s₂ = 3.39) The 90% confidence interval is from (Round to three decimal places as needed.) C 7 7 10 6 8 10 Dynamic 5 8 Static 11 7 4 7 6 8 13 4 8 17
Data indicates that adolescent girls tend to experience a drop in self-esteem. To evaluate this result, a researcher obtains a sample of N = 36 adolescent girls, all 13 years old. A self-esteem measure is administered to each participant and the average score for the sample is X =68. It is known that the distribution of self-esteem scores for the population of pre-teen girls is normal with mean 80 and standard deviation 10. (a) Compute a 95% confidence interval for µ, the population mean self-esteem score for adolescent girls. (b) Compute Cohen’s d to estimate the size of the described effect. (c) Perform a hypothesis test to decide whether the mean self-esteem score for adolescent girls is significantly different from the mean self-esteem score for pre-teen girls. (d) Compute and interpret a Bayes factor for the model (either H0 or H1) with the best predictive adequacy. (e) Compute and interpret the posterior model probability for the winning model chosen in part (d).
You are interested in estimating the the mean weight of the local adult population of female white-tailed deer (doe). From past data, you estimate that the standard deviation of all adult female white-tailed deer in this region to be 29 pounds. What sample size would you need to in order to estimate the mean weight of all female white-tailed deer, with a 96% confidence level, to within 8 pounds of the actual weight? (Use Excel to find the appropriate critical value and round to 3 decimal places.)Sample Size:
Women are recommended to consume 1790 calories per day. You suspect that the average calorie intake is larger for women at your college. The data for the 11 women who participated in the study is shown below: 2035, 2079, 1842, 1923, 1701, 1889, 1691, 1731, 1730, 2006, 1954 Assuming that the distribution is normal, what can be concluded at the αα = 0.01 level of significance? For this study, we should use Select an answer t-test for a population mean z-test for a population proportion The null and alternative hypotheses would be: H0:H0: ? p μ Select an answer = > < ≠ H1:H1: ? μ p Select an answer ≠ < = > The test statistic ? t z = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is ? ≤ > αα Based on this, we should Select an answer accept fail to reject reject the null hypothesis. Thus, the final conclusion is that ... The data suggest that the population mean calorie…
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