You work for an insurance company and are studying the relationship between types of crashes and the vehicles involved. As part of your​ study, you randomly select 3589 vehicle crashes and organize the resulting data as shown in the contingency table. At α=0.10​, can you conclude that the type of crash depends on the type of​ vehicle? Complete parts​ (a) through​ (d).       Vehicle       Type of crash   Car   Pickup   Sport utility   ​ Single-vehicle   866   323   340   ​ Multiple-vehicle   1145   487   428       Question content area bottom   Part 1   ​(a) Identify the claim and state the null and alternative hypotheses. H0​: The type of crash and the type of vehicle are ▼ independent dependent Ha​: The type of crash and the type of vehicle are ▼ dependent independent The ▼ alternative hypothesis null hypothesis is the claim. H0: The type of crash and the type of vehicle are  Ha: The type of crash and the type of vehicle are  Determine the degrees of​ freedom. Find the critical​ value. Which region below is the correct rejection​

The National Safety Board wants to determine the effect of seat belt use on saving lives. One study showed data on children under the age of 5 who were involved in car accidents in which at least one fatality occurred. Below is the table: X1 Survivors (0) Fatalities (1) Total No belt (0) Adult belt (1) Child seat (2) 1129 509 1638 X2 432 73 505 733 139 872 Total 2294 721 3015 Answer in 2 decimal places. a) Determine the probability that a child will be in a child seat. b) Determine the probability that X1 = 0 given X2 = 0 c) What is the probability of X1 = 1 given X2 = 0?

You may need to use the appropriate technology to answer this question. The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains.† One of the variables in the study is meal price, the average amount paid per person for dinner and drinks, minus the tip. Suppose a reporter for a local newspaper thought that it would be of interest to her readers to conduct a similar study for restaurants located in her city. The reporter selected a sample of 8 seafood restaurants, 8 Italian restaurants, and 8 steakhouses. The following data show the meal prices ($) obtained for the 24 restaurants sampled. Italian Seafood Steakhouse $13 $15 $24 14 19 18 16 18 22 17 25 24 17 22 21 19 16 23 16 18 26 32 11 34 Use ? = 0.05 to test whether there is a significant difference among the mean meal price for the three types of restaurants. State the null and alternative hypotheses. H0: ?Italian = ?Seafood = ?SteakhouseHa:…

Do various occupational groups differ in their diets? A British study of this question compared 98 drivers and 83 conductors of London double-decker buses. The conductors' jobs require more physical activity. The article reporting the study gives the data as "Mean daily consumption (+ se)." Some of the study results appear below. Drivers Total calories 2821 +44 Alcohol (grams) 0.24 0.06 Conductors 2844 +48 0.39 ± 0.11 Construct a 99% confidence interval for the difference in mean daily alcohol consumption between drivers and conductors.

The table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of​ 500,000, how many people would you expect to die of cancercancer each​ year?             Cause Deaths   Cause Deaths   Heart disease 596 comma 700596,700   ​ Alzheimer's disease 84 comma 90084,900   Cancer 575 comma 300575,300   Diabetes 73 comma 40073,400   Chronic respiratory diseases 143 comma 100143,100   ​ Pneumonia/Influenza 53 comma 40053,400   Stroke 128 comma 600128,600   Kidney disease 45 comma 30045,300   Accidents 122 comma 500122,500   Suicide 38 comma 60038,600   About people would be expected to die of cancer each year. ​(Type a whole number. Round to the nearest person as​ needed.)

complaint and, if so, whether the complaint was medical or nonmedical in nature. After a year, a tally from these patients was collected to count number who left the HMO voluntarily. Here are the data on the total number in each group and the number who voluntarily left the HMO: No complaint Medical complaint Nonmedical complaint Total A certain health maintenance organization (HMO) wishes to study why patients leave the HMO. A SRS of 423 patients was taken. Data was collected on whether a patient had filed a 177 111 135 Left 64 27 50 If the null hypothesis is Ho : pı = P2 = P3 and using a = 0.05, then do the following: (a) Find the expected number of people with no complaint who leave the HMO: (b) Find the expected number of people with a medical complaint who leave the HMO: (c) Find the expected number of people with a nonmedical complaint who leave the HMO: (d) Find the test statistic: (e) Find the degrees of freedom: (f) Find the critical value: (g) The final conclusion is OA. We…

The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. Body fat percentages using each of these methods for 16 athletes (a subset of the data given in a graph that appeared in the paper) are given in the accompanying table. You can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete X-ray Ultrasound 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 5.00 8.00 9.25 12.00 17.25 29.50 5.50 6.00 8.00 13.50 9.25 11.00 12.00 14.00 17.00 18.00 4.25 4.75 9.00 11.75 17.00 27.50 6.50 6.75 8.75 14.50 9.50 12.00 12.25 15.50 18.00 18.25 Use these data to estimate the difference in mean body fat percentage measurement for the two methods. Use a confidence level of 95%. (Use μ = MX-ray-Multrasound. Round your answers to three decimal places.) × % Interpret the interval in context. O There is a 95% chance that the true mean body fat percentage…