Here are the alcohol percentages for a sample of 16 beers (light beers excluded):4.69, 4.76, 4.25, 4.49, 5.08, 5.32, 6.44, 6.68, 5.05, 4.76, 5.15, 4.17, 6.51, 6.8, 6.35, 5.1Calculate 8:(Find a 95% confidence interval for the population variance, o².<0² <

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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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From a sample of 18 tellers operating in different branches of a bank, it turned out that during a day an average of 60 people are served, with a variance of 81. Construct an interval for the population mean, with 95 % confidence.Select one:a. μ= [56,524 ;63,476]b. μ= [55,524 ;64,476]c. μ= [55,324 ;64,376]d. μ= [55,842 ;64,158]e. μ= [56,542 ;64,467]
(5). Calculate SS, variance and standard deviation for the following sample of n=7 scores: 8, 6, 5, 2, 6, 3, 5.
Women are recommended to consume 1700 calories per day. You suspect that the average calorie intake is different for women at your college. The data for the 12 women who participated in the study is shown below: 1784, 1677, 1583, 1984, 1910, 1737, 1522, 1574, 1853, 1546, 1707, 1866 Assuming that the distribution is normal, what can be concluded at the αα = 0.10 level of significance? For this study, we should use The null and alternative hypotheses would be: H0:H0: H1:H1: The test statistic = (please show your answer to 3 decimal places.)
53.305) B. (24.591, 35.563) C. (26.591, 37.563) D. (28.591, 39.563) 34. A simple random sample of size n = 36 is taken from a normally distributed original population. The sample standard deviation iss = 7. Find the 99% confidence interval for the population variance o2. A. (27.453, 98.756) B. (28.453, 99.756) C. (29.453, 100.756) D. (30.453, 101.756)
The following sample data are from a normal population: Sample size (n) = 25, Sample mean=14, Sample standard deviation=3.6 With 95% confidence, what is the margin of error for the estimation of the population mean?
The following statistics are computed by sampling from three normal populations whose variances are equal: (You may find it useful to reference the table and the g table.) = 30.1, n₁ = 7; 2 = 35.5, n2 = 9; 3 = 40.9, n3 = 4; MSE = 25.0 a. Calculate 95% confidence intervals for H1 H2, H1 - Hз, and μ2 - μз to test for mean differences with Fisher's LSD approach. (Negative values should be indicated by a minus sign. Round final answers to 2 decimal points.) Population Mean Differences H1-H2 H1 H3 H2 H3 Confidence Interval Can we conclude that the population means differ?
A FOOD PROCESSOR WANTS TO COMPARE TWO PRESERVATIVES FOR THEIR EFFECTS ON RETARDING SPOILAGE. SUPPOSE 16 CUTS OF FRESH MEAT ARE TREATED WITH PRESERVATIVE A AND 16 ARE TREATED WITH PRESERVATIVE B, AND THE NUMBER OF HOURS UNTIL SPOILAGE BEGINS IS RECORDED FOR EACH OF THE 32 CUTS OF MEAT. THE RESULTS ARE SUMMARIZED IN THE TABLE BELOW 4.1 4.2 4.3 Sample Mean Sample Standard Deviation Preservative A 108.7 hours t: 10.5 hours Preservative B 98.7 hours 13.6 hours State the null and alternative hypotheses to determine if the average number of hours until spoilage begins differs for the preservatives A and B. Assume population variances are equal. Calculate the pooled variance and the value of the test statistic. Determine the rejection region at a= .05 and write the proper conclusion. Rejection region: Decision: Conclusion:
The following are the normalized levels of a critical protein in 12 samples of blood: 8.2 , 4.7 , 10.3 , 11.7 , 18.3 , 5.9 , 3.8 , 18.9 , 7.6 , 14.2 , 9.8 , 16.4 Compute the sample mean, the sample median, and the sample standard deviation.
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
when applying ANOVA which of the following steps would be important: a. the standard deviation of all the populations involved in the experiment is constant. b. the sample size of each sample is atleast 10. c. the population group that are being considerded are not more than 5. d. calculating side- by- side box plots will give a good visual representation of the variance between and within treatments. e. the samples are coming from normally distributed populations.
Women are recommended to consume 1790 calories per day. You suspect that the average calorie intake is smaller for women at your college. The data for the 15 women who participated in the study is shown below: 1959, 1908, 1789, 1544, 1805, 1656, 1899, 1811, 1686, 1688, 1687, 1943, 1612, 1789, 1467 Assuming that the distribution is normal, what can be concluded at the α = 0.05 level of significance? For this study, we should use The null and alternative hypotheses would be: H0: H1: The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is α Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest the population mean is not significantly less than 1790 at α = 0.05, so there is sufficient evidence to conclude that the population mean calorie intake for women at your college is equal to 1790. The data suggest the populaton…
Twenty-two car salespeople were sampled to see how many cars they sold in a month; the following data was obtained: 26, 20, 22, 18, 21, 14, 24, 28, 17, 23, 28, 29, 18, 17, 24, 26, 19, 27, 26, 22, 23, 25 Construct a 95% confidence interval for the mean number of cars sold per month by the population of car salespeople. S = t = Margine of Error: E = We are 95% confident that, on average, car salespeople sell between cars and cars per month.

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Here are the alcohol percentages for a sample of 16 beers (light beers excluded): 4.69, 4.76, 4.25, 4.49, 5.08, 5.32, 6.44, 6.68, 5.05, 4.76, 5.15, 4.17, 6.51, 6.8, 6.35, 5.1 ( Calculate s: Find a 95% confidence interval for the population variance, o². <0² <