Assuming the footsizes of the U.K are normally distributed, do men and women differ infootsize in one class at 0.05 level of significance?M 3 3% 4 4% 5 5% 6 6% 7 7% 8 8% 10 11 12 13½U.K.W 2½ 3 3% 4 4% 5 5½ 6 6% 7 7½ 8 9% 10½ 11½ 131. Write a Hypothesis between these data of footsizes in U.K2. Determine the tailed test and level of significance3. Run the analysis (T-test for independent groups) using Microsoft Excel Data Analysisand state the conclusion

Solution: The Microsoft Excel Data Analysis output for independent samples or group t test is

Answered: Assuming the footsizes of the U.K are…

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. interpret: b. c. d.
2. An experiment was conducted to determine whether four firing temperatures affect the density of brick. The experiment led to the following information Temperature 100 125 150 175 200 Total Grand Mean No. of Bricks (Reps) 3 4 4 3 4 18 Total Density 65.4 86.0 87.1 65.2 86.1 389.8 Mean Density 21.80 21.50 21.78 21.73 21.52 108.33 21.67 density=8441.82 a. At a=0.05, test whether the mean density of five firing temperatures are significantly different.
Suppose we have the following data collected from three randomly-selected counties 1.How many degrees of freedom are there? 2.As a research analyst, what might you do – with particular reference to data collection – to “firm up” your conclusion (i.e., to obtain a more precise understanding of the relationship between education and poverty)?
1. The following data are the protein content of bean. 159 338 657 259 276 386 179 229 742 149 408 667 275 266 463 147 275 411 154 209 636 256 306 147 264 412 192 339 589 245 315 412 145 241 745 a) Mean .. Median Mode.... b) Variance Rang Stander division ..... c) What is the value of d? Upper 80 % confidence limit Lower 80% confidence limit What is the value of class interval when number of classes is 7? ...
The researcher found that the model’s effect size was very large where r = .325. Furthermore, r2 = .106. How much of the variance can be explained by the linear combination of predictor variables? Answer Choices A) 11% B) 32% C) 33% D) 95%
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Section 9.2 Question #7 Listed in the data table are IQ scores for a random sample of subjects with medium lead levels in their blood. Also listed are statistics from a study done of IQ scores for a random sample of subjects with high lead levels. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Complete parts (a) and (b) below. View the data table of IQ scores. Medium Lead Level High Lead Level 72 n2 = 11 96 92 _ x2 = 91.815 85 90 s2 = 10.365 97 83 92 104 111 91 a. Use a 0.05 significance level to test the claim that the mean IQ scores for subjects with medium lead levels is higher than the mean for subjects with high lead levels. What are the null and alternative hypotheses? Assume that population 1 consists of subjects with medium lead levels and population…
7. Effect size - Cohen's d and r squared An industrial/organizational psychologist has been consulting with a company that runs weekend job-seeking workshops for the unemployed. She collected data on several issues related to these workshops and, after conducting statistical tests, obtained statistically significant findings. She needs to find a way to evaluate effect size so that she can make recommendations to the company. One of the psychologist’s findings is that 18 months after the workshop, a sample of 36 job seekers who received training on resume writing scored an average of 7.3 as measured on a 9-point job-search motivation scale, with a standard deviation of 1.5. The typical job seeker scores 6.1 points. The psychologist finds that the estimated Cohen’s d is , the t statistic is 4.80, and r² is . Using Cohen’s d and Cohen’s guidelines for interpreting the effect size with the estimated Cohen’s d, there is a treatment effect. Using r² and the extension…
The below sample data set shows the relationship between two variables. 10 8.04 8 6.95 13 7.58 6. 8.81 8.33 9.96 7.23 4.26 11 14 9. 4. 10.84 12 Determine the least squares regression line. A) -0.46 - 3.57x B) -0.46+ 3,57 C) v=3,57+0.461 D) =3.57-0.46A Tufen birin1 seçin
Assuming the footsizes of the Japan are normally distributed, do men and women differ in footsize in one class at 0.05 level of significance? M 21.5 22 22.5 23 23.5 24 24.5 25 25.5 26 26.5 27.5 28.5 29.5 30.5 31.5 W 21 21.5 22 22.5 23 23.5 24 24.5 25 25.5 26 27 Japan 28 29 30 31 4. Write a Hypothesis between these data of footsizes in Japan 5. Determine the tailed test and level of significance 6. Run the analysis (T-test for independent groups) using Microsoft Excel Data Analysis and state the conclusion
il. CENGAGE MINDTAP apter 13 Assignment 3. 4. 5. 6. 7. 9. 8. Ebay 0. O O O O FP-See What's Hot A factorial experiment involving two levels of factor A and three levels of factor B resulted in the following data. Source of Variation Factor A Factor B Interaction Error Total Sum of Squares 1976.3 1248 2818.6 3530 Test for any significant main effects and any interaction. Use a = 0.05. Round Sum of Squares to the whole number, F value, Mean Square to two decimals, if necessary, and p-value to four decimals. 9573 FF Geres 9/ O €3 Degrees of Freedom 1 2 2 6 11 Factor A 31 1976.3 Mean Square 624 Pokemon Eestis.. 1409.3 Level 1 588.33 Level 2 Level 1 115 145 135 95 F value 3.36 1.06 Factor B Level 2 100 76 2.4 117 125 p-value 0.1165 Level 3 55 83 0.4033 0.1719 100 156 Conclusion Not significant Not significant Q Search this course Not significant Oct 21 X 6:46 ?
4.A college student is interested in whether there is a difference between male and female students in the amount of time they spend studying each week period the student gathers information from a random sample of male and female students on campus. The amount of time spent studying is normally distributed. The data are: Male Female 27 25 25 29 19 18 10 23 16 20 22 15 14 19 What statistical test should be done to analyze these data? Identify Ho and Ha for this study. Conduct the appropriate analysis. Should Ho be rejected? What should the researcher conclude? If significant, compute and interpret the effect size.

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