Are all employees equally prone to having accidents? To investigate this hypothesis, a researcher looked at a light manufacturing plant and classified a random sample of accidents by type and by age of the employee. Accident Type Cut 5 12 Sprain Burn 17 Under 25 Age 25 or over 61 13 A chi-square test for the above data gave a test statistic of 20.78. If we test at a - 0.05 which of the following is an appropriate conclusion? O Reject Ho There is not convincing evidence of an association between accident type and age. O Fail to reject Ho. There is convincing evidence that the proportion of sprain, cuts, and burns seems to be similar for both age classes. O Fail to reject Ho. There is convincing evidence that there is an association between age and accident type. O Reject Ho There is convincing evidence that accident type is not independent of age. O Reject Ho Tbere is convincing evidence that age is independent of accident type.

Are all employees equally prone to having accidents? To investigate this hypothesis, a researcher looked at a light manufacturing plant and classified a random sample of accidents by type and by age of the employee. Accident Type Cut 5 12 Sprain Burn 17 Under 25 Age 25 or over 61 13 A chi-square test for the above data gave a test statistic of 20.78. If we test at a - 0.05 which of the following is an appropriate conclusion? O Reject Ho There is not convincing evidence of an association between accident type and age. O Fail to reject Ho. There is convincing evidence that the proportion of sprain, cuts, and burns seems to be similar for both age classes. O Fail to reject Ho. There is convincing evidence that there is an association between age and accident type. O Reject Ho There is convincing evidence that accident type is not independent of age. O Reject Ho Tbere is convincing evidence that age is independent of accident type.

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 university wanted to see whether there was a significant difference in age between its day staff and evening staff. A random sample of 35 staff members is selected from each group. The data are given below. Test the hypothesis that there is no difference in age between the two groups. Use a =0.05. Day Staff 22 24 24 23 19 19 23 22 18 21 21 18 18 25 29 24 23 22 22 21 20 20 20 27 17 19 18 21 20 23 26 30 25 21 25 Evening Staff 18 23 25 23 21 21 23 24 27 31 24 20 20 23 19 25 24 27 23 20 20 21 25 24 23 28 20 19 23 24 20 27 21 29 30
11. Add 6 to each number in the dataset. Then, the 15th percentile is:a. 1b. 6c. 8d. 7Use the following information to answer questions 12-14: Suppose the probability that an adult gets thenews from Facebook is 0.60. A random sample of 14 adults were surveyed to determine X, the numberof adults who get their news from Facebook.12. Which of the following statements is false?a. The set of possible x-values is {1, 2, 3, . . ., 14}b. X ~ B (14, 0.60)c. P(X=5) = 0.0408d. µ = 8.413. Find the probability that at least 6 adults get their news from Facebook.a. 0.8499b. 6/14c. 0.6429d. 0.941714. X is of data of type:a. categorical nominalb. categorical ordinalc. numerical continuousd. numerical discrete15. Suppose that the ages of Brunswick CC students are normally distributed. A random sample of 6Brunswick CC students reported the ages of 20, 35, 18, 45, 27, and 20 years old. Find the errorbound that corresponds to the 90% confidence interval for the true population mean age ofBrunswick CC…
A psychologist would like to know whether the season (autumn, winter, spring, and summer) has any consistent effect on people's sexual activity. In the middle of each season, a psychologist selects a random sample of 22 students. Each individual is given a sexual activity questionnaire. A one-factor ANOVA was used to analyze these data. Complete the following ANOVA summary table (a = 0.02). Round your answers to three decimal places, if necessary. Source Between Within Total SS 867.72 df MS F 2.98 P-value
Mm3
Each person in random samples of 227 male and 293 female working adults living in a certain town in Canada was asked how long, in minutes, his or her typical daily commute was. Is there enough evidence to show that there is a difference in mean commute times for male and female working residents of this town? (Use males females) Male Female Sample size X S Sample size x S 227 30.2 24.0 293 27.9 24.3 Find the test statistic. (Round your answer to two decimal places.) Find the df. (Round your answer down to the nearest whole number.) df= Use technology to find the P-value. (Round your answer to four decimal places.) P-value= Is there enough evidence to show that there is a difference in mean commute times for male and female working residents of this town? Use a significance level of 0.05. Yes No
Q.19 Urgent question! I will thumbs up! In the final answer that you circle, please also include the brief approach / formula you used under "Answer". Thanks!
I need help with question 7
A psychologist would like to know whether the season (autumn, winter, spring, and summer) has any consistent effect on people's sexual activity. In the middle of each season, a psychologist selects a random sample of 23 students. Each individual is given a sexual activity questionnaire. A one-factor ANOVA was used to analyze these data. Complete the following ANOVA summary table (a 0.05). Round your answers to three decimal places, if necessary. Source Between Within Total SS 473.44 df = MS F 3.63 P-value
3.8
Please answer this question; show work!!