4. To determine the effectiveness of a new traffic control system, the number of accidents that occurred at 12 dangerous intersections during four weeks before four weeks after the installation of the new system was observed, and the following data was obtained: 3 and 1 5 and 2 2 and 0 3 and 2 3 and 2 3 and 0 O and 2 4 and 3 1 and 3 6 and 4 4 and 1 1 and 0 Use the paired simple sign test at a=0.05 level of significance to test the null hypothesis that (µ) the new traffic control system is effective than the earlier system (u, ).

4. To determine the effectiveness of a new traffic control system, the number of accidents that occurred at 12 dangerous intersections during four weeks before four weeks after the installation of the new system was observed, and the following data was obtained: 3 and 1 5 and 2 2 and 0 3 and 2 3 and 2 3 and 0 O and 2 4 and 3 1 and 3 6 and 4 4 and 1 1 and 0 Use the paired simple sign test at a=0.05 level of significance to test the null hypothesis that (µ) the new traffic control system is effective than the earlier system (u, ).

Name: 4. To determine the effectiveness of a new traffic control system, th
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: 4. To determine the effectiveness of a new traffic control system, the number of accidentsthat occurred at 12 dangerous intersections during four weeks before four weeks after theinstallation of the new system was observed, and the following data wa

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

The mean number of sick days an employee takes per year is believed to be about 10. Members of a personnel department do not believe this figure. They randomly survey 8 employees. The number of sick days they took for the past year are as follows: 10; 5; 13; 3; 11; 8; 6; 9. Let X = the number of sick days they took for the past year. Should the personnel team believe that the mean number is about 10? Conduct a hypothesis test at the 5% level.Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) What is the test statistic? (If using the z distribution round your answers to two decimal places, and if using the t distribution round your answers to three decimal places.) t = Construct a 95% confidence interval for the true mean. Sketch the graph of the situation. Label the point estimate and the lower and upper bounds of the confidence…
1. Ten subjects were chosen for an experiment. They were asked to perform a certain physical activity. The number of heartbeats per minute, before and after experiment are recorded as follows: Subject Before After Subject Before After number number 1 60 92 72 76 2 67 79 7 71 73 72 72 8 69 81 4 71 80 75 80 68 72 10 68 76 Is there sufficient evidence to indicate that the experiment condition increases the number of heartbeats per minute? Use a .05 level of significance.
4. In the ordered data: 20, a, 25, 30, 40, b, 49. If the first quartile=23.5 and IQR=19, then the values of a and b are: a=21.5, b=45.5 a=21, b=48 a=22, b=45 a=22.5 , b=45.5 5. Let X-Bin (12, 0.2), then * P (X 2 1) = O 1- 0.212 O 0.812 O1- 0.812 O 0.212
10) The following table shows the sample subjects cross-classified by gender and the type of violent victimization reported. Can we conclude on the basis of these data that victimization status and gender are not independent? Let a =0.01. Gender Women Men Total No victimization 611 308 919 Partner 42 20 62 Non-partner 16 17 33 Total 669 345 1014
15. Research results suggest that IQ scores for boys Plomin, 2006). A typical study looking at 10-year-old are more variable than IQ scores for girls (Arden & size would be reported in a journal article. children classifies participants by gender and by low. average, or high IQ. Following are representing the research results. Do the data indicate a significant difference between the frequency distri- butions for males and females? Test at the .05 level of significance and describe the difference. hypothetical data 1 IQ Low Average High Вoys 18 42 20 80 Girls 12 54 14 80 n = 160 Int Ava
An article compared five different methods for teaching descriptive statistics. The five methods were traditional lecture and discussion, programmed textbook instruction, programmed text with lectures computer instruction, and computer instruction with lectures. 60 students were randomly assigned, 12 to each method. After completing the course, students took a 1-hour exam. We are interested in finding out if the average test scores are different for the different teaching methods. The p-value of the test is 0.0372. What is the conclusion of the test if the level of significance is αα=0.10? There is enough evidence to conclude that all five group means are significantly different from each other. There is not enough evidence to conclude that all five group means are sigificantly different from one another. There is enough evidence to conclude that at least one group mean is significantly different from others. There is not enough evidence to conclude that at least one…
Monthly salary computations from two different clothing companies yielded the following data: n=7, ?=9,130$, ?=386$; ?= ?, ?=8,840$, ?=212$. At the level of significance 0.05, can we conclude that the mean monthly salary from the two companie is not the same?
A. For which data set is the sample correlation coefficient r closest to −1? B. For which data set is the sample correlation coefficient r closest to 0? C. For which data set is the sample correlation coefficient r equal to 1?
.Seven instructors are rated by first and seconf year students on “clarity of presentation” and the results are tabulated. Is there a significant correlation between the ratings of freshmen and sophomores on the clarity of presentation of theseveninstructors? Intructor Freshmen Sophomores 1 44 58 2 39 42 3 36 18 4 35 22 5 33 31 6 29 38 7 22 38
1. A dog groomer is often asked if small dogs bark more than larger dogs. To test this, he logs the number of separate barking episodes per day for three size dogs: small, medium, and large. In a separate file you will find the number of barking episodes for 12 dogs. On average, small dogs barked the most Mean: 7.25 On average, medium sized dogs barked the least Mean: 2.75 A. Do the different size dogs bark a significantly different number of times? Test with an α = 0.05. B. If appropriate, use Tukey’s HSD post hoc test and report where the differences are. If inappropriate, state why. C. Calculate and interpret the effect size.
Are these answers correct?