B. Four analysts carry out replicate sets of determinations of mercury (Hg) on the same analytical sample. Theresults in ppb Hg are shown belowDeterminationAnalyst 1Analyst 2Analyst 3Analyst 4110.2410.1410.1910.19210.2610.1210.1110.15310.2910.0410.1510.16410.2310.0710.1210.10(a) State the appropriate hypothesis(b) Do the the analysts differ at the 95% confidence interval? At the 99% confidence level (Fcrit = 5.95)? At the99.9% confidence interval (Ferit = 10.80)?(c) Which analysts, differ from each other at the 95% confidence level?

Anova is used to determine the mean significance difference between more than two groups. It is a…

Answered: B. Four analysts carry out replicate…

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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6. An experiment measured the level of CPK in the blood of ten runners and ten cyclists, both before and after exercise. Runners Cyclists Mean St. Dev. Mean St. Dev. Before exercise 255.63 115.58 173.8 90.69 After exercise 284.75 132.64 177.1 64.53 Difference 29.12 21.01 3.3 6.85 a) Test whether there is significant difference between the CPK values of runners and cyclists before exercise at the a = 0.05 level, assuming that the standard deviations are different for these populations. b) Find a 95% confidence interval for the difference of CPK values of runners and cyclists before exercise. c) Test at the a = 0.05 level whether there is a significant increase in the CPK levels of cyclists before and after exercise.
Periodically, customers of a financial services company are asked to evaluate the company's financial consultants and services. Higher ratings on the client satisfaction survey indicate better service, with 7 the maximum service rating. Independent samples of service ratings for two financial consultants are summarized here. Consultant A has 10 years of experience, whereas consultant B has 1 year of experience. Use α = 0.05 and test to see whether the consultant with more experience has the higher population mean service rating. Consultant A Consultant B n1 = 16 n2 = 10 x1 = 6.81 x2 = 6.26 s1 = 0.64 s2 = 0.75 (a) State the null and alternative hypotheses. H0: μ1 − μ2 ≤ 0 ; Ha: μ1 − μ2 = 0 H0: μ1 − μ2 ≤ 0 ; Ha: μ1 − μ2 > 0 H0: μ1 − μ2 ≠ 0 ; Ha: μ1 − μ2 = 0 H0: μ1 − μ2 = 0 ; Ha: μ1 − μ2 ≠ 0 H0: μ1 − μ2 > 0 ; Ha: μ1 − μ2 ≤ 0 (b)Compute the value of the test statistic. (Round your answer to three decimal places.) = (c) What is the p-value? (Round your answer…
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How would I interpret the output of a SPSS table, and transform this output into narrative form (as you would with the Results section of a research paper)
8.12 The tar contents of 8 brands of cigarettes selected at random from the latest list released by the Federal Trade Commission are as follows: 7.3, 8.6, 10.4, 16.1, 12.2, 15.1, 14.5, and 9.3 milligrams. Calculate a) the mean b) the variance Round your answers to two decimal places
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Investigation of anti-body levels in a group of 22 patients before and after injection of an immunoglobulin produced the datasets provided: patient pre post 1 3.7 3.7 2 4.6 4.4 3 4.9 3.8 4 4.8 4.1 5 4.1 4.8 6 3.9 3.8 7 4.1 5.8 8 4.5 4.8 9 5.2 4.3 10 3.6 4.5 11 4.1 4.5 12 3.6 5.8 13 3 5.1 14 4.8 6.1 15 4.6 3.3 16 3.6 5.5 17 3.6 4.9 18 3.2 5.7 19 4.7 3.3 20 3.3 6.1 (a) Write a null and alternate hypothesis set to test if there is evidence for post-injection anti-bodylevels to be greater than pre-injection levels.(b) Test your hypothesis using the appropriate hypothesis test and significance level.(c) Compute a 99% confidence interval for the difference between pre and post-injection antibody levels.
1. Develop 3 sigma level process control charts for monitoring weight of boxes that contain apples. You performed samplings over 5 weeks with sample size of 4 (n = 4). Draw variable control charts (mean and range). Calculate and show values for UCL, CL, and LCL using the factors provided in below table. Discuss your graphs and make your conclusion. Week1 Week2 Week3 Week4 Week5 week # of complaint Week complaints 1 1 1 7 2 2 2 6 20 21 21 24 30 3 Sample Size 8 n 2 3 4 5 10 15 20 25 3 3 21 20 23 21 20 4 7 A2 Control Limit Factor for Sample Mean 1.880 1.023 0.729 0.577 0.308 0.223 0.180 0.153 4 4 20 22 23 27 24 Factors for 3 Sigma level 5 2 D3 0 0 0 0 2. The number of monthly customer complaint at a hotel is monitored. Develop three sigma level control chart using the data below. Calculate and show values for UCL, CL, and LCL. Draw the control chart. Is everything under control? Discuss your conclusion. You will have to choose the proper control chart. 0.223 0.348 0.414 0.459 5 5 19 21 25…
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When investigating a question involving a scale dependent variable and a single nominal independent variable (IV) with three or more levels in which participants receive all levels of the IV, the appropriate test to use: a. one-way between-groups ANOVA b. independent-samples t test c. one-way within-groups ANOVA d. paired-samples t test
Determine if there is a significant negative correlation between the sets of data at a 10% significance level. 41 39 52 33 39 47 58 61 60 y 28 33 14 41 32 21 8 4 5 Critical Value, tcrit = [three decimal accuracy] Test Statistic, ttest = [three decimal accuracy] Test Condusion: O Fail to Reject Họ. There is not enough evidence to suggest a negative significant linear correlation between the data sets. O Reject Ho. There is enough evidence to suggest a negative significant linear correlation between the data sets.
1. Interpret the data which has been presented in thr below Table 1 and Table 2.

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