A random sample of 107 Langara students was obtained. Students were asked to report their primary method of transportation traveling to (and from) Langara to their residence. A cross-tabulation of gender and method of transportation is shown below. Method of Transportation Gender Drive Alone Transit Other Male 19 25 3 Female 22 25 13 If the Langara student travels by driving alone, what is the probability the student is female? Show your calculations.

In an article that appears on a website,† Carlton Gunn, a public defender in Seattle, Washington, wrote about how he uses statistics in his work as an attorney. He states the following. I personally have used statistics in trying to challenge the reliability of drug testing results. Suppose the chance of a mistake in the taking and processing of a urine sample for a drug test is just 1 in 100. And your client has a "dirty" (i.e., positive) test result. Only a 1 in 100 chance that it could be wrong? Not necessarily. If the vast majority of all tests given—say 99 in 100—are truly clean, then you get one false dirty and one true dirty in every 100 tests, so that half of the dirty tests are false. Define the following events as given below. TD = event that the test result is dirty TC = event that the test result is clean D = event that the person tested is actually dirty C = event that the person tested is actually clean (a) Using the information in the quote, compute the following…

10. A sample of cars was studied. In the sample, 26 white cars were observed, 23 black, 19 grey and 13 silver. What is the probability a car in the study was black?

Check my work and help with section d, please.

One year consumers spent an average of ​$22 on a meal at a resturant. Assume that the amount spent on a resturant meal is normally distributed and that the standard deviation is ​$3.Complete parts​ (a) through​ (c) below. a. What is the probability that a randomly selected person spent more than ​$24​?