Below are the research questions of four students and the statistical tests they used in ordertoanswer the said questions. Who among them useda statistical toolthat is NOT appropriate with theobjective(s) of his her study?A Eizabeth conducted a study to investigate the antimicrobial potentials of a plart's leafethanolic extractagainst two multiple antibiotic resistart bactenia; namdy Staphylococcusaureus and Escherichiacoliusing standard microbiologcaltechniques The extracts weretestedusing agar diffusion method and the antimicrobial potency ofthe extracts wereevaluatedby the deteminationofthe zone of inhibitions Elizabethused Marm-Whitney UTest to answer the question, "is there a significant diffßerence on the cone of inhibitions ofSaureus and E coli when treatedwith the plant's leafethanolic extract?"B. Elijah conducted a research to detamine the existence of a relationship between the plasmaascorbic acidlevels and stress levels of pregnant women Twenty (20) women in the lastthree months ofpregnancy, free ofmajor health disordas, andranging in age from 15 to 32years, were selected for the study. The plasma Ascorbic acid values were detemined inmilligrams per milliliters through a 20 mL bloodsample while the stress level scores weremeasuredusing the PSS or perceived stress scale. Elijahused Pearson's rto answer thequestion, "is there sufficientevidenceto conchude thatthere is a significant relationshipbetween pregnant women's stress levelscores and plasma ascorbic acidvalues"C. Bethanelis trying to decide whether the use ofradialtires insteadofregular belted tireswill improve the fuel economy ofthe models in their company. At 0.50 power and0.80expectedeffect size, thirteen (13)cars were equipped with ra dial tires and drivenover aprescribed test course Without changing drivers, the same cars were then equipped withregular belted tires and driven once again ova the test course. The gasoline consumptionin kilometers per liter, was recorded Bethariel usedt-test for independert samples toanswer the question, "do cars equipped withradial tires ghe better fuel economy thanthose equipped with belted tires?"D. Elgardis trying to detemine whether the type ofleadership of a person is associated withhis educational background(programgraduated). In this study, a sample of 384managemert lea ders were selected Elgard used Chi-square test to answer the question, "isthere a significant association between a person's type ofleadership and programgraduated from?"

Mann Whitney U test: Mann Whitney U test is the nonparametric test, which is used for testing…

Answered: Below are the research questions of…

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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The results of a mathematics exam at JUST university for two classes are as follows: Class 1: (n=32 , mean=12.6, SD=8) and Class 2: (n=36, mean=2.4, SD=12).we are testing if the means are different What is the z statistic (a=0.05): on О а. 1.7000 O b. 6.1237 O c. 3.7559 O d. 4.1641
A paint company has large outlet stores in two cities. Ten samples of the weekly sales (in tons) for the two cities are as follows. City A: n = 10, X10 = 148.5, S1 = = 4.3. City B: n = 10, Y 10 = 144.2, S2 = 3.8. At a = 0.05 level of significance, test if the weekly sales are different. The following ¨answers" have been proposed. (a) The null hypothesis is that the weekly sales are the same and the alternative is that the they are not the same. By using an F test, we reject the null hypothesis. (b) The null hypothesis is that the weekly sales are the same and the alternative is that the they are not the same. By using an F test, we do not reject the null hypothesis. (c) The null hypothesis is that the weekly sales are the same and the alternative is that the they are not the same. By using a i test, we do not reject the null hypothesis. (d) The null hypothesis is that the weekly sales are the same and the alternative is that the they are not the same. By using a i test, we reject the…
6) The following data summarize the results from an independent-measures study comparing three treatment conditions. Treatment II 3. 6. N= 12 10 G = 60 1 10 EX = 392 1 5. 6. M = 3 M = 4 M= 8 T= 12 T= 16 T= 32 SS = 8 SS = 12 SS = 16 a) Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means. b) Calculate n² to measure the effect size for this study. c) Write a sentence demonstrating how a research report would present the results of the hypothesis test and the measure of effect size. 3.
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
Consider the following measurements of blood hemoglobin concentrations (in g/dL) from three human populations at different geographic locations: population1 = [ 14.7 , 15.22, 15.28, 16.58, 15.10 ] population2 = [ 15.66, 15.91, 14.41, 14.73, 15.09] population3 = [ 17.12, 16.42, 16.43, 17.33] Perform ANOVA to check if any of these populations have different mean hemoglobin concentrations. (Assume that all the ANOVA requirements such as normality, equal variances and random samples are met.) After you perform ANOVA perform a Tukey-Kramer post-hoc test at a significance level of 0.05 to see which populations actually have different means. As usual, round all answers to two digits after the decimal point. (Make sure you round off to at least three digits any intermediate results in order to obtain the required precision of the final answers.) For any questions, which ask about differences in means or test statistics, which depend on differences in means provide absolute values. In…
The worker on examining his 20 rainfall sample points concluded that it is more than likely to rain on this May 1st. Describe two or three statistical steps he took to arrive at this conclusion.
The authors of the paper "Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement" compared two different instruments for measuring a subject's ability to breathe out air.† (This measurement is helpful in diagnosing various lung disorders.) The two instruments considered were a Wright peak flow meter and a mini-Wright peak flow meter. Seventeen subjects participated in the study, and for each subject air flow was measured once using the Wright meter and once using the mini-Wright meter. Subject 1 2 3 4 5 6 7 8 9 Mini- Wright Meter 512 430 520 428 500 600 364 380 658 Wright Meter + 494 395 516 434 476 557 413 442 650 Subject 10 11 12 13 14 15 16 17 Mini- Wright Meter 445 432 626 260 477 259 350 451 Wright Meter 433 417 656 267 478 178 423 427 (a) Suppose that the Wright meter is considered to provide a better measure of air flow, but the mini-Wright meter is easier to transport and to use. If the two types of meters produce different readings but there is…
A nutritionist in the FDA wants to compare the caloric content of medium French fries sold by Wendonald (Population 1) and McKing (Population 2) fast-food chains, to see if there is any difference between them. To test this, random samples from each chain is taken and the caloric contents of French fries are measured. The finding is summarized in the table on next page. Conduct an independent-samples t test to test whether there is any difference between the caloric content of French fries sold by the two chains, following the steps below. Wendonald McKing = 32 = 30 = 390 calories = 365 calories = 30 calories = 38 calories Write down the null and alternative hypotheses using proper notation Calculate (Write all steps) What is the value of for α = 0.05 with a two-tailed test?
Data for gas mileage (in mpg) for different vehicles was entered into a software package and part of the ANOVA table is shown below: Source DF SS MS Vehicle 2 440 220.00 Error 17 318 18.71 Total 19 758 Determine the p-value for the data. a) 0.0052 b) 0.8994 c) 0.0006 d) 0.0021 e) 0.0236 f) None of the above
Identify the TEST for the below scenario and explain why you will choose the test for the analysis: In a hospital for one year the comorbidities of alcoholic and non-alcoholic patients were studied. Which test will be used to understand that alcoholic patients are more susceptible to comorbidities?
The SSRUR = 161.9, SSRR = 260.6, number of restrictions = 2, n = 89, and there are 8 right hand side variables. Calculate the F statistic.
The authors of the paper "Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement"† compared two different instruments for measuring a person's ability to breathe out air. (This measurement is helpful in diagnosing various lung disorders.) The two instruments considered were a Wright peak flow meter and a mini-Wright peak flow meter. Seventeen people participated in the study, and for each person air flow was measured once using the Wright meter and once using the mini-Wright meter. Subject Mini-WrightMeter WrightMeter Subject Mini-WrightMeter WrightMeter 1 512 494 10 445 433 2 430 395 11 432 417 3 520 516 12 626 656 4 428 434 13 260 267 5 500 476 14 477 478 6 600 557 15 259 178 7 364 413 16 350 423 8 380 442 17 451 427 9 658 650 (a) Suppose that the Wright meter is considered to provide a better measure of air flow, but the mini-Wright meter is easier to transport and to use. If the two types of meters produce…

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