6. Two samples are randomly selected from two groups of students who have been taught using differentteaching methods. An examination is given and the results are shown below:Group IGroup IIn₁ = 8n₂ = 10X₁ = 85X₂ = 87s² = 46s² = 36Using a 0.05 level of significance, can we conclude that the two different teaching methods are equallyeffective?Ho:Ha:Level of Significance (a):Statistical Test:Classification of Test:Critical/Tabular Value:Computed Value:Decision:Conclusion:

Answered: Image /qna-images/answer/3e9ea3ce-3bfb-436f-aeef-fed71a31b412.jpg

Answered: 6. Two samples are randomly selected…

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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Three brands of bacon such as Poorfoods, Sweeps and COD are tested for a fat content with the following sample results: (step by step solution, without using excel) BRAND FAT CONTENT (%) TOTAL Poorfoods 40 43 40 40 43 206 Sweeps 41 42 35 38 34 190 COD 40 35 36 33 36 180 Perform the appropriate test procedure determining whether or not there are differences in the mean fat content of the three bacon brands at 5% level of significance. Ho: Ha: Decision Rule: Computation: ANOVA TABLE: Sources ofVariation Degrees of Freedom Sum of Squares Mean of Sum of Squares F-computed Decision: Conclusion:
3. Dentists make many people nervous. To assess any effect of such nervousness on blood pressure, the systolic blood pressure of 60 subjects was measured both in a dental setting and in a medical setting (The Effect of the Dental Setting on Blood Pressure Measurement," Amer. J. of Public Health, 1983:1210- 1214). For each subject, the difference between dental setting pressure and medical setting pressure was computed; the resulting sample mean difference and sample standard deviation of the differences were 4.47 and 8.77 mmHg, respectively. o (a) Estimate the true mean difference between blood pressures for these two settings using a 99% confidence level. o (b) Does it appear that the true mean pressure is different in a dental setting than in a medical setting? Explain your reasoning.
An I/O psychologist wants to know if there is a difference in worker evaluations depending if the evaluator is a male or female. 15 men and 15 women managers were asked to rate on a scale of 0-10 the same group of worker files. The ratings on the worker evaluations were recorded for each manager. Which statistical test would be best to determine if there is a significant difference between groups? one-sample t-test dependent samples t-test independent samples t-test ANOVA
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…
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On a particular proposal of national importance, males and females cast votes as included in the following table In Favor Opposed Undecided Male 90 65 43 Female 115 74 32 Suggest an appropriate test for the data and analyze it at 1% level of significance.
What is the observed value? What is the p-value? What is the rejection region?
Researchers were interested in assessing whether stress levels are different at the beginning of the semester compared to finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week. Participant Stress 1 Stress 2 Difference Score (Di) (Di - Mdiff)2 1 22 22 0 2 32 34 -2 3 24 25 -1 4 28 30 -2 5 26 29 -3 What is the observed test statistic (i.e., tobs)? Round to 2 decimal places.
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.
You suspect that your east-facing portion of your Macintosh apple orchard is producing less apples than your west facing portion. You decide to conduct a study of your apple trees to determine the average production of apples per tree as measured in bushels for both sections. Conduct a hypothesis test at 5% level of significance to determine if the East facing section is producing significantly less apples per tree compared to the West facing section. Use the table below. Sample size Average amount of Standard of trees deviation Bushels West 55 28 East 50 22 12 What is the p-value? p=0.0021 0.025
Class 1 Final Sample Size: 30 Sample Variance: 80.55 Sample Mean: 44.2917 Class 2 Final Sample Size:30 Sample Variance: 55.29 Sample Mean: 36.4833 The assignment says to use the Z test for means and assume the hypothesized difference is 0. 1. Is there a significant difference in the means of the two finals at the .01 level of significance? 2. Why or why not?
The milk yield from two breeds of goats, A and B, is categorised as low, medium or high. One hundred goats in a random sample are classified according to breed and milk yield. The results are summarised in the table below. i. Explain the difference between a test of independence and a test of homogeneity ii. Perform a chi squared test, at the 95% of significance level, to determine whether there is an association between the breed of goats and the milk yield.

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