It has been suggusted that the highest priority of retirees is travel. Thus, a study was conducted to investigate the differences in the length of stay of a trip for pre- and post-retirees. A sample of 698 travelers were asked how long they stayed on a typical trip. The observed results of the study are found below. Number of Nights Pre-retirement Post-retirement Total 4 - 7 8- 13 14 – 21 231 175 406 83 62 145 32 59 91 22 or more 25 31 56 Total 371 327 698 With this information, construct a table of estimated expected values. Number of Nights Pre-retirement Post-retirement 4 - 7 8 - 13 14 - 21 22 or more Now, with that information, determine whether the length of stay is independent of retirement using a = 0.01. (a) x = (b) Find the degrees freedom: (c) Find the critical value: (d) The final conclusion is OA. There is not sufficient evidence to reject the null hypothesis that the length of stay is independent of retirement. OB. We can reject the null hypothesis that the length of stay is independent of retirement and accept the alternative hypothesis that the two are dependent. 田|田|| 田|田|田|田

It has been suggusted that the highest priority of retirees is travel. Thus, a study was conducted to investigate the differences in the length of stay of a trip for pre- and post-retirees. A sample of 698 travelers were asked how long they stayed on a typical trip. The observed results of the study are found below. Number of Nights Pre-retirement Post-retirement Total 4 - 7 8- 13 14 – 21 231 175 406 83 62 145 32 59 91 22 or more 25 31 56 Total 371 327 698 With this information, construct a table of estimated expected values. Number of Nights Pre-retirement Post-retirement 4 - 7 8 - 13 14 - 21 22 or more Now, with that information, determine whether the length of stay is independent of retirement using a = 0.01. (a) x = (b) Find the degrees freedom: (c) Find the critical value: (d) The final conclusion is OA. There is not sufficient evidence to reject the null hypothesis that the length of stay is independent of retirement. OB. We can reject the null hypothesis that the length of stay is independent of retirement and accept the alternative hypothesis that the two are dependent. 田|田|| 田|田|田|田

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

C8. According to the Pew Research Center (2015), recent immigrants are better educated than earlier immigrants to the United States. The change was attributed to the availability of better education in each region or country of origin. The percentage of immigrants 25 years of age and older who completed at least high school is reported in this table for 1970 to 2013. Write a statement describing the change over time in the percentage who completed at least a high school degree. 1970 1980 1990 2000 2013 Mexico 14 17 26 30 48 Other Central/South America 57 53 60 66 Asia 75 72 75 82 84 48 68 81 87 95 Europe 36 48 52 58 72 Caribbean 81 91 88 85 85 Africa Source: Pew Research Center, Modern Immigration Wave Brings 59 Million to U.S., Driving Population Growth and Change Through 2065, 2015. Retrieved from https://www.pewresearch.org/hispanic/2015/09/28/modern- immigration-wave-brings-59-million-to-u-s-driving-population-growth-and-change-through-2065/ 52
Please see below.
ch 11 end. 6: In a bumper test, three types of autos were deliberately crashed into a barrier at 5 mph, and the resulting damage (in dollars) was estimated. Five test vehicles of each type were crashed, with the results shown below. Research question: Are the mean crash damages the same for these three vehicles?
Suppose that a customer is purchasing a car. He conducts an experiment in which he puts 10 gallons of gas in the car and drives it until it runs out of gas. He conducts this experiment 15 times on each car and records the number of miles driven. Full data set Car 1 216 243 205 242 239 297 295 172 270 251 165 310 265 316 278 Car 2 231 220 223 205 245 257 242 292 248 252 287 255 250 293 251 Median for Car 2 M=___________mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Range for Car 1 R=__________mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Range for Car 2 R=__________mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Sample standard deviation for Car 1 s=_________mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Sample standard deviation…
A sample of students involved in laboratory accidents was categorized by age. The results appear as: Find the median score
An advertising company is comparing published listening figures for different radio stations and podcasts in order to decide where is the best place to put their adverts. The audience figures for the last 20 quarters of radio stations A and B are in Table 1. Table 1 Audience figures in 100 000s of radio stations A and B for the last 20 quarters. Radio Station A Radio Station B 112 106 108 113 111 109 108 112 115 115 118 114 116 115 113 103 107 105 103 106 98 101 100 99 100 99 100 98 96 97 98 87 88 92 98 99 96 102 104 100
A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
A sociologist is interested in studying the relationship between education and crime. She randomly selects 332 people and asks them their education level and whether or not they have ever been convicted of a felony. Is there evidence that education level and crime are dependent? Education Level No Felony Conviction Felony Conviction Total Less than 99 years 95 12 107 99 years - 1212 years 86 11 97 1212 years - 1616 years 59 7 66 16+16+ years 56 6 6262 Total 296 36 332 Copy Data Step 4 of 8 : Find the value of the test statistic. Round your answer to three decimal places.
I suffered to find the answer but it’s wrong. Can anyone help me please?