Please do this on MS EXCEL. Please show the step by step process on EXCEL. So I can use it as a guide. Thank you. B. t-test1. To evaluate the accuracy of a new analytical method, an analyst determines the purity of astandard for which µ is 100.0%, obtaining the following results.99.28% 103.93% 99.43% 99.84% 97.60% 96.70% 98.02%Is there any evidence at a=0.05 that there is a determinate error affecting the results?2. To compare two production lots of aspirin tablets, you collect samples from each and analyzethem, obtaining the following results (in mg aspirin/tablet).Lot 1: 256 248 245 245 244 248 261Lot 2: 241 258 241 244 256 254

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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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A Sociologist wishes to see whether the number of years of schooling a person has is dependent on the person’s location. The information is classified as follows: Location No education Four-year degree Advanced degree Total Metropolis 15 12 8 35 Suburban 8 15 9 32 Countryside 6 8 7 21 Total 29 35 24 88 At alpha 0.05, can the Sociologist conclude that a person’s location is dependent on the number of years of schooling? Find p-value and on the basis of the p-value, should the null hypothesis be rejected?
If the value of Cronbach’s alpha is 0.07, it means ___________; a. Research instrument is not reliable b. Research instrument is internally consistent c. Data is reliable d. Data is internally consistent
Suppose that we want to compare the cleansing action of three detergents on the basis of the following whiteness readings made on 15 swatches of white cotton cloth, first soiled with motor oil and then washed in an agitator-type washing machine: If the tabular values of F are 3.89 and 6.93 at 5% and 1% level of significance, what is the appropriate decision? (note: CRD). (show your solution) choices of correct answer: a. No significant difference b. Significant at 5% c. Highly significant at 1% d. Not significant at 1%
In a typical multiple linear regression model where x1 and x2 are non-random regressors, the expected value of the response variable y given x1 and x2 is denoted by E(y | 2,, X2). Build a multiple linear regression model for E (y | *,, *2) such that the value of E(y | x1, X2) may change as the value of x2 changes but the change in the value of E(y | X1, X2) may differ in the value of x1 . How can such a potential difference be tested and estimated statistically?
Resistors labeled as 100 Ω are purchased from two different vendors. The specification for this type of resistor is that its actual resistance be within 5% of its labeled resistance. In a sample of 180 resistors from vendor A, 150 of them met the specification. In a sample of 270 resistors purchased from vendor B, 233 of them met the specification. Vendor A is the current supplier, but if the data demonstrate convincingly that a greater proportion of the resistors from vendor B meet the specification, a change will be made. a) State the appropriate null and alternate hypotheses. b) Find the P-value. c) Should a change be made?
The Head of production at Amiba private limited needed to examine the key determinants of company profitability($,000). So, he collected relevant(monthly) data and following is the summary of his regression output. SUMMARY OUTPUT Regression Statistics Multiple R 0.5776 R Square 0.3336 Adjusted R Square 0.2670 Standard Error 2.2743 Observations 34 ANOVA df SS MS F Significance F Regression 3 77.6774 25.8925 5.0060 0.0062 Residual 30 155.1693 5.1723 Total 33 232.8467 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 10.49 2.9211 3.5927 0.0012 4.5291 16.4605 4.5291 16.4605 Variable X 0.99 1.2461 0.7937 0.4336 -1.5559 3.5340 -1.5559 3.5340 Variable Y 2.56 1.1291 2.2663 0.0308 0.2529 4.8648 0.2529 4.8648 Variable Z 2.06…
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For some genetic mutations, it is thought that the frequency of the mutant gene in men increases linearly with age. If m1 is the frequency at age t1, and m2 is the frequency at age t2, then the yearly rate of increase is estimated by r = (m2 − m1)/(t2 − t1). In a polymerase chain reaction assay, the frequency in 20-year-old men was estimated to be 17.7 ± 1.7 per μgDNA, and the frequency in 40-year-old men was estimated to be 35.9 ± 5.8 per μg DNA. Assume that age is measured with negligible uncertainty.a) Estimate the yearly rate of increase, and find the uncertainty in the estimate.b) Find the relative uncertainty in the estimated rate of increase.
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. To evaluate the accuracy of a new analytical method, an analyst determines the purity of a tandard for whichµ is 100.0%, obtaining the following results.