Problem 2: Mrs. P conducted a study if there is significant difference on the scholastic achievements of Civil Engineering students who attended or did not attend Kindergarten The results are as follows: (Artificial Data) Did Not Attend Kindergarten 2 Attended Students Students Kindergarten 1.5 1 1 2 1.7 2.2 3 1.8 3 3.0 4 2.0 4 2.8 1.25 2.7 1.4 6 2.2 7 1.9 7 3.0 8 2.2 8 2.8 9 2.3 9 2.9 10 2.1 10 3.0 11 1.5 11 2.4 12 2.0 12 2.5 13 1.9 13 2.8 14 1.2 14 3.0 15 2.5 15 2.9 16 1.6 16 3.0 17 2.0 17 2.8 18 1.2 18 3.0 Note: Use 0.05 level of significance

Problem 2: Mrs. P conducted a study if there is significant difference on the scholastic achievements of Civil Engineering students who attended or did not attend Kindergarten The results are as follows: (Artificial Data) Did Not Attend Kindergarten 2 Attended Students Students Kindergarten 1.5 1 1 2 1.7 2.2 3 1.8 3 3.0 4 2.0 4 2.8 1.25 2.7 1.4 6 2.2 7 1.9 7 3.0 8 2.2 8 2.8 9 2.3 9 2.9 10 2.1 10 3.0 11 1.5 11 2.4 12 2.0 12 2.5 13 1.9 13 2.8 14 1.2 14 3.0 15 2.5 15 2.9 16 1.6 16 3.0 17 2.0 17 2.8 18 1.2 18 3.0 Note: Use 0.05 level of significance

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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Country Britain Canada China France Germany India Indonesia Ireland Israel Italy Unemployment rate 6.4 7.0 4.1 10.2 6.7 8.8 5.7 11.5 6.3 12.3 Country Japan Mexico Pakistan Philippines Poland Russia Singapore South Korea Turkey United States Unemployment rate 3.7 4.8 6.2 7.0 12.0 4.9 2.0 3.4 8.8 6.2 4. For the data in Question 3, construct a relative frequency histogram using the given classes. Use a straightedge and neatness counts.
Refer to the following table. Second Event B1 B2 Total A1 2 1 3 P(A1) First Event A₂ 1 2 3 A3 3 1 4 Click here for the Excel Data File Total 6 4 10 a. Determine P(A₁). (Round your answer to 2 decimal places.)
Question 3. A survey was conducted of hourly wages for a sample of workers in two industries at three locations in Ohio. Part of the purpose of the survey was to determine if differences exist in both industry type and location. The sample data are shown in the table; State of Ohio Wage Survey Industry I I I II II II Cincinnati $12.10 11.80 12.10 12.40 12.50 12.00 Cleveland $11.80 11.20 12.00 12.60 12.00 12.50 a. Construct ANOVA table for two factors factorial experiment Columbus $12.90 12.70 12.20 13.00 12.10 12.70
Question 4 Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample ofyearly data was taken with the view to testing the model:SALES=?+?AGE+?MIL+?ENGWhere SALES= amount that a vehicle is sold for($000’s), AGE = age of the vehicle, MIL= the totalmileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Coef StDev t-ratio p-value Predict or constant 1.7586 0.2525 6.9648 0.0000 AGE 0.2124 0.3175 * 0.5042 MIL -0.7527 0.3586 -2.0991 ** ENG 4.8124 *** 7.7664…
(c) Suppose that after looking at the data the researcher decided to test the research questions listed below. Conduct the appropriate tests to answer these questions. Report and fully interpret the results of each test conducted. On average: (iv) Do Asian students score significantly higher/lower than White students in Reading? race: 1 - hispanic, 2 - asian, 3 - black, 4 - white race RDG 1 34 1 47 1 42 1 39 1 36 1 50 1 63 1 44 1 47 1 44 1 50 1 44 1 47 1 42 1 42 1 47 1 60 1 39 1 57 1 73 1 47 1 39 1 35 1 39 1 48 1 31 1 52 1 47 1 36 1 47 1 34 1 52 1 42 1 37 1 44 1 71 1 47 1 42 1 42 1 47 1 52 1 52 1 39 1 31 1 60 1 47 1 39 1 42 1 47 1 42 1 36 1 50 1 34 1 55 1 28 1 42 1 44 1 60 1 39 1 36 1 44 1 39 1 39 1 42 1 42 2 52 2 65 2 42 2 47 2 52 2 44 2 52 2 47 2 65 2 63 2 60 2 47 2 65 2 53 2 68 2 55 2 39 2 52 2 65 2 52 2 57…
Problem 4
Question 16 options: A psychologist would like to examine the effects of different testing methods on the final performance of college students. One group has regular quizzes, one group has three large exams, and the third group only has a final exam. At the end of the course, the psychologist interviews each student to get a measure of the student's overall knowledge of the material. quizes exams final only 4 1 0 6 4 2 3 5 0 7 2 2 G=36 Ex2=164 Compute Tukey's HSD to determine exactly which methods are significantly different. q = Round to 2 decimal places, Tukey's HSD= Which methods are significantly different? a. Quizzes vs. Exams b. Quizzes vs. Final Only c. Exams vs. Final Only d. All three are different Enter letter only from the choices above:
These two questions please.
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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…
Question 3 A statistics instructor at a large western university would like to examine the relationship (if any) between the number of optional homework problems students do during the semester and their final course grade. She randomly selects 12 students for study and asks them to keep track of the number of these problems completed during the course of the semester. At the end of the class each student's total marks is recorded along with their final grade. The data follow in Table 2. Table 2 Problem Course Grade 62 51 58 62 68 66 65 68 76 77 66 67 72 73 72 78 73 76 78 78 84 85 91 75 Use the regression equation to preaict a student's final course grade if 75 optional homework assignments are done. ix. Use the regression equation to compute the number of optional homework assignments that need to be completed if a student expects an 85. vii.
QUESTION THREE (a) For policy purposes, Social Science researchers are always interested in the relationships between or among variables. When two variables are related, a desired policy outcome can be achieved by manipulating one of such variables. Table 1 illustrates one of such research outputs. Table 1: Correlation analysis of motivation and employee performance X4 - Employee X2 - Motivation performance Xx-Employee Pearson 1.00 0.593*** Correlation performance Sig. (2-tailed) .000 N 612 612 *** Coefficient is significant at the 0.01 level (2-tailed) Study the results carefully and explain them in terms of i. presence of relationship ii. nature of the relationship iii. direction of the relationship DO D01- 04 iv. the strength and significance of association v. the changes in employee performance that can be attributed to motivation