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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2. Two analysts perform replicate sets of Hg determinations on the same analytical sample. The results in ppb Hg are shown in the following table: Determination Analyst 1 Analyst 2 Analyst 3 Analyst 4 10.19 1 10.24 10.14 10.19 2 10.26 10.12 10.11 10.15 3 10.29 10.04 10.15 10.16 10.23 10.07 10.12 10.10 a.) Is it paired or unpaired? Why? b.) If we are to ask if the two methods are significantly differently, is it two-tailed or one-tailed? Why? c.) Calculate the t and what the conclusion after conducting t-test is. (Please attach your solution as a picture here) erit
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)
50. Determine if there is a significant correlation between the sets of data at a 10% significance level. x 59 47 30 27 59 24 55 21 54 y 34 33 52 50 41 29 33 58 35 Negative Critical Value, tcrit = [three decimal accuracy] Positive Critical Value, tcrit = [three decimal accuracy] Test Statistic, ttest = [three decimal accuracy] Test Conclusion: Fail to Reject H0H0. There is not enough evidence to suggest a significant (positive or negative) linear correlation between the data sets. Reject H0H0. There is enough evidence to suggest a significant (positive or negative) linear correlation between the data sets.
You wish to test the following claim (HaHa) at a significance level of α=0.01α=0.01. Ho:μ1=μ2Ho:μ1=μ2 Ha:μ1≠μ2Ha:μ1≠μ2You obtain the following two samples of data. Sample #1 Sample #2 65.8 77.7 105.1 78.6 89.2 69.1 96.7 91.3 105.9 87.5 70.5 93.9 83.4 88.3 79.5 66.7 83.4 91.7 106.7 73 75.7 98.7 76.7 80 53.2 92.1 93 78.2 72.4 79.1 82.1 74.1 78.2 85.5 85.9 99.3 84.2 104.3 88.3 107.6 63.8 99.8 97.7 86.3 74.9 72.7 77.5 93.9 76.1 77.1 81.9 74.1 73.6 78.7 81.9 78.9 81.1 88 85.8 75.3 74.3 77.5 69.1 75.5 72.9 80.1 84.3 73.1 67.3 72.2 76.1 67.8 74.9 67.3 74.7 70.1 65.4 76.9 83.8 79.7 72.9 81.7 74.1 68.2 65.4 80.9 69.4 79.5 96 77.5 77.1 75.9 68.7 What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to four…
2
16. A one-way ANOVA test is conducted at the 10% level of significance and finds the following results: n = 34, K = 4, x̅ = 16.62, MST = 30.303, and MSE = 12.356. What is the tail area of the ANOVA test? A. 0.083 D. 0.097 B. 0.178 C. 0.071
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…
You have been given following data set related to sales of Product X(units) in 3 different locations. Location 1 45 27 39 42 28 Location 2 30 29 36 21 24 Location 3 19 25.5 27.6 31.5 34.6 a. State the null and alternative hypothesis for single factor ANOVA to test for any significant difference in sales in three locations. b. State the decision rule at 5% significance level. c. Calculate the test statistic. Based on the calculated test statistics, decide whether there are any significant differences between the sales. Note: No excel ANOVA output allowed need to show all the steps in calculations
2) Researchers are interested in whether there is any relationship between a person's IQ (x- variable) and how long they live (y-variable). Answer the questions below by using the data provided. Show your work and use the back of the page if necessary. X Y 10 3 6. 6. 7 4 3 4 a) What type of statistical analysis would be most appropriate to use in this scenario? Please justify your answer. b) Please state the null and alternative hypotheses. c) Please report the results of your statistical analyses and make a decision about whether to reject or fail to reject the null hypothesis Use alpha = .05 (two-tailed). %3D
B. Four analysts carry out replicate sets of determinations of mercury (Hg) on the same analytical sample. The results in ppb Hg are shown below Determination Analyst 1 Analyst 2 Analyst 3 Analyst 4 1 10.24 10.14 10.19 10.19 2 10.26 10.12 10.11 10.15 3 10.29 10.04 10.15 10.16 4 10.23 10.07 10.12 10.10 (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 the 99.9% confidence interval (Fcrit = 10.80)? (c) Which analysts, differ from each other at the 95% confidence level?
Q.3 For the following data: a) Compute SST, SSTR, SSE b) Construct a one-way ANOVA table c) Decide at the 5% significance level, whether the data provide sufficient evidence to conclude that the means of the populations from which the samples are drawn are not the same. Sample 1 Sample 2 Sample 3 Sample 4 11 16 6 2 10 7 4 10 3. we have: ng = 3 n3= 3 n4 = 3 Ta 24 = 1s Ty= 36 THa9 n z Enj = 12 Exz= IT;= &4 ..... Ex - (Ex:*/n = SSTR = I (Tim;) - (Iri)/n = ()+( )+( )+( ) -- 2. SST = 12 SSE = 5sT - SSTR = Fostatistic df MS 2 df :عاطء Souree SS MSTR/MSE 138 Treatment where: MSE- SSE/(n-k) MSTR = SSTR/(K-1) Enron Tofal df z ( 3, 8) caitical Valme s ? Compare test- statistic to cv. Do you rejuctNull or Do not rejrit what dees it mean ? write here
13.38 An experiment is conducted in which 4 treat- ments are to be compared in 5 blocks. The data are given below. Block 3 11.7 10.7 11.0 Treatment 2 4 5 12.8 10.6 11.7 14.2 11.8 9.9 13.8 3 4 11.5 14.7 13.6 10.7 15.9 12.6 16.5 15.4 9.6 17.1 (a) Assuming a random effects model, test the hypoth- esis, at the 0.05 level of significance, that there is no difference between treatment means. (b) Compute estimates of the treatment and block vari- ance components.

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