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1. Approximately 13.2% of US drivers are younger than age 25, with 37.7% in the 25-44 age group, and 49.1% in the 45-and-over-category. For a random sample of 200 fatal accidents in her state, a safety expert finds that 42 drivers were under 25 years old, 80 were 25-44 years old, and 78 were at least 45 years old. At the 0.05 level, test whether the age distribution of drivers involved in fatal accidents within the state could be the same as the age distribution of all US drivers. Define H0 : Define H1 :
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| Age | Observed (O) | Expected (E) | (O - E)^2/E |
| < 25 | 42 | 26.4 | 9.2182 |
| 25 - 44 | 80 | 75.4 | 0.2806 |
| 45+ | 78 | 98.2 | 4.1552 |
| χ2 = | 13.6540 | ||
| Df = 2 | |||
| Critical χ2 = | 5.9915 |
Since 13.6540 > 5.9915, we reject Ho
There is sufficient evidence that the distributions are different.
1. Approximately 13.2% of US drivers are younger than age 25, with 37.7% in the 25-44...
Among drivers who have had a car crash in the last year, 250 were randomly selected and categorized by age, with the results listed in the table below. Age Under 25 25-44 45-64 Over 64 Drivers 98 56 38 58 If all ages have the same crash rate, we would expect (because of the age distribution of licensed drivers) the given categories to have 16%, 44%, 27%, 13% of the subjects, respectively. At the 0.025 significance level, test the claim...
The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. Click the icon to view the data table (a) Find the least-squares regression line for males treating the number of licensed drivers as the explanatory variable, x, and the number of fatal crashes, y, as the response variable. Repeat this procedure for females Press Continue to see...
The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender complete parts ( Click the icon to view the datatable rough l o w (a) Find the stars regression informales treating the number of licensed drivers as the explanatory variable, and the number of Matalashes procedure for me as the response variable. Repeat this Find the least regression informales Round the concient to...
Find the indicated probability. 23) The following contingency table provides joint people by career and retirement. age at retirement.eS a joint frequency distribution for a group of retired 25) Age at Retirement 50-55 56-60 61-65 Over 65 Total Attorney 96 40 191 Career College Professor 11 32 92 34169 C2 Secretary 21 4563 49 178 Store Clerk 18 44 70 50 182 Total Suppose one of these people is selected at random. Compute P(A2 or C3). A) 0.062 B) 0.481...
A random sample of communities in
certain state gave the following information for people under 25
years of age.
x1: Rate of hay fever per 1000 population
for people under 25
A random sample of regions in
certain state gave the following information for people over 50
years old.
x2: Rate of hay fever per 1000 population
for people over 50
Assume that the hay fever rate in each age group has an
approximately...
A sociologist is studying the age of the population in Blue Valley. Ten years ago, the population was such that 20% were under 20 years old, 11% were in the 20- to 35-year-old bracket, 34% were between 36 and 50, 24% were between 51 and 65, and 11% were over 65. A study done this year used a random sample of 210 residents. This sample is given below. At the 0.01 level of significance, has the age distribution of the...
Consider a sample with 10 observations of 11, –3, 8, 8, 10, 1, –2, 13, 8, and –4. Use z-scores to determine if there are any outliers in the data; assume a bell-shaped distribution. (Round your answers to 2 decimal places. Negative values should be indicated by a minus sign.) The z-score for the smallest observation The z-score for the largest observation There are outliers or no outliers in the data. The historical returns on a portfolio had...
Consider a sample with 10 observations of 11, –3, 8, 8, 10, 1, –2, 13, 8, and –4. Use z-scores to determine if there are any outliers in the data; assume a bell-shaped distribution. (Round your answers to 2 decimal places. Negative values should be indicated by a minus sign.) The z-score for the smallest observation The z-score for the largest observation There are outliers or no outliers in the data. The historical returns on a portfolio had...
A researcher randomly selected n = 30 drivers who were issued speeding tickets in a city. There are four variables in this data set: (1) ID number, (2) age, (3) sex, and (3) size of the car that s/he drove when s/he got the speeding ticket. *Sex (1 = Males, 2 = Females); Size_car (1 = Small, 2 = Medium, 3 = Large). Data ID AGE SEX SIZE_CAR 1 18 1 2 2 28 1 2 3 44 1 3...
of contldence, the 00 of the 200 UCLA university professors oppose the US policies in Middle East. Using the 0.95 degree interval estimates for the population proportion is a, 50% to 57%. 45% to 55% d. none of the above. A Rutgers University professor claims that there is no significant difference between proportion of female (1) and male collects data students (m) of the university who exercise at least 15 minutes a day. What would be a proper conclusion if...