A common final examination was administered to each student enrolled in Sociology 1 Introduction t Sociology. Students enrolled in daytime, evening, and online sections of this course were randomly selected, and their final examination scores were recorded. The sample data are compiled below. Section Final Examination Scores of Students in Sociology 1 Introduction to Sociology Daytime 86 77 64 88 81 75 90 78 59 66 Evening 76 53 86 65 85 84 74 61 89 70 Online 78 86 54 60 47 70 62 78 93 65 Conduct a hypothesis test, at the 5% level of significance, to determine whether the mean final examination score of Sociology 1 students enrolled in daytime, evening, and online sections are all equal.

A common final examination was administered to each student enrolled in Sociology 1 Introduction t Sociology. Students enrolled in daytime, evening, and online sections of this course were randomly selected, and their final examination scores were recorded. The sample data are compiled below. Section Final Examination Scores of Students in Sociology 1 Introduction to Sociology Daytime 86 77 64 88 81 75 90 78 59 66 Evening 76 53 86 65 85 84 74 61 89 70 Online 78 86 54 60 47 70 62 78 93 65 Conduct a hypothesis test, at the 5% level of significance, to determine whether the mean final examination score of Sociology 1 students enrolled in daytime, evening, and online sections are all equal.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A car insurance broker for high risk drivers compares the total number of demerit points on the license of each driver and their monthly car insurance premium. The data is recorded for sample of 20 different high risk drivers. Demerit points. 7 7 11 5 10 11 13 10 9 17 8 10 4 19 6 8 5 4 8 17 Monthly Insurance Premium 157 205 346 194 309 596 687 406 236 716 244 510 118 821 275 276 276 269 276 786 Please give the excel formula and or the spreadsheet. Thank you.
A statistics professor would like to build a model relating student scores on the first test to the scores on the second test. The test scores from a random sample of 21 students who have previously taken the course are given in the table. Student Test Grade 1 Test Grade 21 42 812 51 743 88 624 99 575 54 726 66 737 87 638 99 579 97 5810 89 6311 42 7712 71 6313 96 5514 56 7615 75 6916 57 7017 62 7518 89 6319 50 7220 56 7221 89 57Step 1 of 2 : Using statistical software, estimate the parameters of the modelSecond Test Grade=β0+β1(First Test Grade)+εi.Enter a negative estimate as a negative number in the regression model. Round your answers to 4 decimal places, if necessary.
For a certain year, SAT Verbal scores for 15 randomly selected high schools in urban and suburban areas in the United States are given below. Urban 565 550 549 536 535 535 522 516 504 497 495 489 445 444 435 Suburban 575 563 540 529 528 507 504 498 482 476 472 463 431 412 375 Is there a statistically significant difference in the average SAT Verbal scores for the two areas?
Here is a set of sample data 2 4 7 10 12 22 25 27 34 35 37 38 39 42 47 53 54 55 59 77 85 86 94 Identify the 5 number summary (min, Q1, median, Q3, max)
Here is a set of sample data 6 7 8 19 21 96 44 51 59 95 63 2228 25 52 75 97 98 14 18 40 42 57 58 77 87 Identify the 5 number summary (min, Q1, median, Q3, max)
In selecting a sample, if you were to obtain a systematic sample of 40 from a population of 600, and your randomly selected starting point is 12, your next three selections should be: a. 24, 36, 48 b. 27, 42, 57 c. 42,92, 137 d. 90, 140, 190
Need help.
Please help by showing all workings and explanations
An instructor in a statistics course set a final exami- nation and also required the students to do a data analysis project. For a random sample of 10 students, the scores obtained are shown in the table. Find the sample correlation between the examination and proj- ect scores. Examination 81 62 74 78 93 69 72 83 90 84 Project 76 71 69 76 87 62 80 75 92 79
Eight students are selected randomly, and their present graduate GPA is compared to their undergraduate GPA and Scores on standardized tests. The data are shown below: Present 3.89 3.03 3.34 3.85 3.93 3.06 3.69 3.91 GPA Undergr 3.77 2.75 3.11 3.75 4 2.92 3.7 3.88 GPA Std. 700 460 550 690 720 420 670 670 Scores a. Write the regression equation, letting undergraduate GPA be x1 and standard scores be x2. X2. b. Is the model useful in calculating the present graduate GPA of a student? Use a = 0.05, State the null and alternative hypothesis. Provide the complete Regression Analysis.
A random sample of 10 compact cars, 10 mid-size cars, and 10 luxury cars were selected. The time (in seconds) each of the randomly selected cars required to accelerate from 0 to 60 mph was looked up on the Autos.com website. The results are presented below. Car Type Time (in seconds) Required to Accelerate from 0 to 60 mph Compact 9.3 8.1 10.2 8.8 9.0 9.3 7.7 9.2 9.4 8.6 Mid-Size 6.9 5.7 8.3 7.7 8.6 5.9 6.1 8.8 6.1 7.2 Luxury 5.7 6.3 5.4 4.7 6.2 7.0 5.9 5.3 6.3 5.0 Conduct a hypothesis test using ! = 0.05 to determine whether the mean time required to accelerate from 0 to 60 mph is the same for compact, mid-size, and luxury cars. (No accounting or excel, I need help solving it.)
A random sample of employees participating in a company fitness program were asked how many days they logged an exercise activity in the past month. Their responses are reported in the histogram below.Based on the histogram above, what is the class width? Clas width = ? Days What is the sample size? Sample size = ? employees