MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- ch9 q16arrow_forwardDala on the eights (Ib) o the contents of cans of diet soda versus the contents of cans of the regular version of the soda is summarized to the right. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) and (b) below. Use a 0.01 significance level for both parts. Diet Regular H2 27 27 0.79037 lb 0.80399 lb 0.00449 Ib 0.00756 lb UA. Ho P1= P2 B. Ho H1 7 µ2 D. Ho H1= H2 O C. Ho: H1 =H2 H1: 1 > H2 Hyi Hyarrow_forwardWhich samples show unequal variances? Use a = .10 in all tests. Show the critical values and degrees of freedom clearly and illustrate the decision rule. s1 = 10.2, n1 = 22, s2 = 6.4, n2 = 16, two-tailed test s1 = .89, n1 = 25, s2 = .67, n2 = 18, right tailed test s1 = 124, n1 = 12, s2 = 260, n2 = 10, left-tailed testarrow_forwardAn education researcher claims that at most 3% of working college students are employed as teachers or teaching assistants. In a random sample of 300 working college students, 5% are employed as teachers or teaching assistants. At a = 0.05, is there enough evidence to reject the researcher's claim? (c) find the standardized test statistic z.arrow_forwardQ.19 Urgent question! I will thumbs up! In the final answer that you circle, please also include the brief approach / formula you used under "Answer". Thanks!arrow_forwardConsider a two-tailed test with a level of confidence of 84.90%. The z-value is _______. 2.88 1.44 1 2.11arrow_forwardYou are conducting a multinomial hypothesis test (a = 0.05) for the claim that all 5 categories are equally likely to be selected. Complete the table. Expected Frequency Frequency Squared Pearson Observed Category Residual A 25 B 21 24 E 17 Report all answers accurate to three decimal places. But retain unrounded numbers for future calculations. What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places, and remember to use the unrounded Pearson residuals in your calculations.) x = What are the degrees of freedom for this test? d.f.- What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value - It may be best to use the -CHIDIST() function in Excel to do this calculation. The p-value is... O less than (or equal to) a O greater than a This test statistic leads to a decision to... Esc F1 F2 F3 F4 F5 F6 F7 F8 F9 F10 11 F12 %23 & * 2 4 6 7 Backspace 9 W R Y Uarrow_forwardYou are conducting a test of independence for the claim that there is a relationship between favorite ice cream flavor and gender. Use a significance level of .01. Vanilla Chocolate Strawberry Male | 32 67 37 Female 24 40 25 The expected observations for this table would be (Round to 3 decimal places.) Vanilla Chocolate Strawberry Male Female At the .01 significance level, what is the critical chi-square for this data? (Round to 3 decimal places.) с What is the chi-square test-statistic for this data? (Round to 3 decimal places.) What can you conclude about Gender and Favorite Ice Cream Flavor? Gender and Ice Cream Flavor are Dependent O Gender and Ice Cream Flavor are Independentarrow_forwardA psychologist wants to test whether there is any difference in puzzle-solving abilities between boys and girls. Independent samples of twelve boys and fourteen girls were chosen at random. The boys took a mean of 37 minutes to solve a certain puzzle, with a standard deviation of 4.3 minutes. The girls took a mean of 32 minutes to solve the same puzzle, with a standard deviation of 5.4 minutes. Assume that the two populations of completion times are normally distributed, and that the population variances are equal. Can we conclude, at the 0.05 level of significance, that the mean puzzle-solving times for boys, µ, differs from the mean puzzle-solving times for girls, µ,? Perform a two-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.)arrow_forwardStart A sales manager for a large department store believes that customer spending per visit with a sale is lower than customer spending without a sale, and would like to test that claim. A simple random sample of customer spending is taken from without a sale and with a sale. The results are shown below. Without sale with sale 82.904 71.316 Mean Variance 1984.96 1826.41 Observations 150 Hypothesized Mean Difference 328 PT<=t) one-tail 0.0071 Critical one-tail -1.65 PT<=t) two-tail Critical two-tail -1.967 6 Confidence Level 3 Ex: 1.234 Samples from without sale: n₁ = Ex 9 Samples from with sale: n₂ Point estimate for spending without sale: 1 Point estimate for spending with sale: 2 = 0 J. Ex: 1.234 EN P -7 T P= = t= DE UNDE IS-arrow_forwardYou are conducting a Goodness of Fit hypothesis test for the claim that all 5 categories are equally likely to be selected. Complete the table. Category A = B C D E Observed Expected Frequency Frequency 12 21 17 18 24 Contribution To Test Statistic What is the chi-square test-statistic for this data? x= Report all answers accurate to three decimal places.arrow_forwardarrow_back_iosarrow_forward_ios
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