Answered: Which of these demonstrates the proper…

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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A tax preparation firm is interested in comparing the quality of work at two of its regional offices. The observed frequencies showing the number of sampled returns with errors and the number of sampled returns that were correct are as follows. Regional Office Return Office 1 Office 2 Error 38 28 Correct 213 271 a. What are the sample proportions of returns with errors at the two offices? Office 1 Office 2 p (to 2 decimals) 0.15 0.09 b. Use the chi-square test procedure to see if there is a significant difference between the population proportion of error rates for the two offices. Test the null hypothesis H, : P1 = p2 with a .10 level of significance. What is the p-value? Note: We generally use the chi-square test of equal proportions when there are three or more populations, but this example shows that the same chi-square test can be used for testing equal proportions with two populations. x²= (to 3 decimals) 0.065 The p-value is between .025 and .05 ▼ What is your conclusion?…
A teacher would like to determine if quiz scores improve after completion of a worksheet. The students take a pre-quiz before the worksheet and then another quiz after the worksheet. Assume quiz scores are normally distributed. The grades for each quiz are given below. Use a significance level of α = 0.05. Paired Two-Sample Means, Group 1 is the pre-quiz and group 2 is the post-quiz: Pre-Quiz Scores < Post-Quiz Scores. Ho Hd=0 : H₁: Hd <0 pre-quiz post-quiz 11 12 8 10 11 4 11 12 6 13 8 11 10 8 6 8 9 11 7 18 16 16 12 15 11 12 12 12 12 17 11 16 14 12 9 10 12 11 11 19 What is the test statistic? test statistic = (Report answer accurate to 4 decimal places.) What is the p-value for this sample? p-value (Report answer accurate to 4 decimal places.)
In a right-tailed test comparing two proportions, the test statistic was zcalc = +1.5. The p-value is:
Using a 1-7ikert scale, a researcher measured respondents desirability towards cars, and he hypothesized that the respondents rated 4 out of 7 in their desirability towards 2 seat runabout sport electric vehicle. Referring to the SPSS output which of the foliowing statements /are correct? One-Sample Statistics Mean Std. Deviation Std. Error Mean Desirability: 2 Seat Runabout Sport Electric 1000 3.92 1.537 .049 One-Sample Test Test Value 4 95% Confidence Interval of the Mean Difference Sig (2-tailed) Difference Lower Upper Desirability: 2 Seat Runabout Sport Electric -1.626 999 .104 -.079 17 02 The researcher's alternate hypothesis is supported O b All answers are correct Oc The researcher's test value is higher than the average score rated by respondents. O d. The test value falls within the 95% confidence interval of the dataset.
The cost of unleaded gasoline in the Bay Area once followed an unknown distribution with a mean of $ 4.87 and a standard deviation of $ 0.05. A sample of 15 Bay Area gas stations are randomly chosen. We are interested in the average cost of gasoline for the 15 service stations. The distribution to use for the average cost of gasoline for the 15 service stations is: Select one: a. N (4.87, 0.0129) b. N (0.3247, 0.0006) c. N (4.87, 0.0033) d. N (4.87, 0.0002) e. N (0.3247, 0.0033)
Which 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 test
The coach of a very popular men’s basketball team claims that the average distance the fans travel to the campus to watch a game is 35 miles. The team members feel otherwise. A sample of 16 fans who travel to games was randomly selected and yielded a mean of M= 36 miles and s= 5 miles. Test the coach’s claim at the 5% (.05) level of significance. one-tailed or two-tailed test: State the hypotheses: df= tα or t value for the critical region = sM = t (test statistic)= Decision:
A local steel pipe manufacturing company makes pipes . In a quality control assessment , a total of five ( 05) samples are collected with four ( 04 ) observations within each sample . The sample means ( X - bar ) are ; 14.09 , 13.94 , 16.86, 18.77 16.64 respectively . Next , the corresponding ranges are ;9.90,7.73, 7.89,7.56 , and 5.50 respectively . The lower and upper control limits of the R - chart are —————respectively . 1) None is correct 2)10.5,1 . 3) 17.59,0 0,17.32 . 4) 0,16.68
if a treatment sample has n = 22 and a control sample of n = 20, the independent measures t test has df total =?______
In a test of HO: p = 0.50 vs. HA: p > 0.50, which of the following describes the decision rule at the 5% level of significance. I. Reject HO if the p-value is more than 0.05. II. Reject HO if the p-value is less than 0.05. II. Reject HO if the test statistic is more than 0. %3D
Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x = 101.02, y = 100.75, r = 0.852, P-value = 0.000, and y = 5.93 + 0.94x, where x represents the IQ score of the husband. Find the best predicted value of y given that the husband has an lQ of 100? Use a significance level of 0.05. %3D Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y is Critical values of the pearson correlation coefficient r (Round to two decimal places as needed.) Critical Values of the Pearson Correlation Coefficient r X = 0.05 a = 0.01 INOTE: To test Ho: p=0 n Jagainst H,: p+0, reject Ho if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 0.878 0.959 0.811 0.917 7 0.754 0.875 0.707 0.834 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468 0.590 19 0.456 0.575 20 0.444…

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	t(N = 26 pairs) = 5.63, p < .05
	T(26) = 5.63, p < .07
	t_paired(26) = 5.63, p < .05
	t(26) = 5.63, p < .05

Which of these demonstrates the proper APA format for the results of a paired-samples t test? Question 6 options: t(N = 26 pairs) = 5.63, p < .05 T(26) = 5.63, p < .07 tpaired(26) = 5.63, p < .05 t(26) = 5.63, p < .05