The table below lists a random sample of 53 speeding tickets on l-25 in Colorado. 0-10 mph over limit| 10-20 mph over limit More than 20 mph over limit Total Male 9. 18 11 38 Female 3 7 15 Total 12 25 16 53 (Note: PLease enter your answer as a decimal number rounded to 4 decimals accuracy , NO FRACTIONS) a) If a random ticket was selected, what would be the probability that the driver was female? b) Given that a particular ticket had a male offender, what is the probability that they were more than 20 mph over the limit? c) Given that a particular ticket was 10-20 mph over the limit, what is the probability that the driver was female?

Please answer the question with details on how to do it. Thank you.  4. A single ball is drawn at random from a box containing 12 orange balls, 10 black balls, and 8 blue balls.         a.) Determine the probability that it is blue.   b.) Three balls are drawn successively. Find the probability that they are drawn in the order orange, black,                    and blue if the ball is not replaced.

According to a magazine, as of January 2018, 8% of chief executive officers were women. Complete parts a through d based on a random sample of 12 CEOs. a. What is the probability that one corporate officer was female? The probability is 0.3837 (Round to four decimal places as needed.) b. What is the probability that fewer than four corporate officers were female? The probability is 0.9880 (Round to four decimal places as needed.) c. What is the probability that more than two corporate officers were female? The probability is (Round to four decimal places as needed.)

1. You want to test to see if the claim is correct. A math teacher claims the probability that a person picked at random in Philadelphia is visiting the city is less than 40%.

In an ANOVA, what is represented by the letter N? O The number of scores in a specific treatmen O The sum of the scores in the total research stud O The number of scores in the total research stu O The sum of the scores in a specific treatment

Please explain your answers . Thank you.

A manufacturing plant knows that in reality 80% of products made are perfect. An inspector selects four products at random. What is the mean number of perfect products in any sample of 4? It can be assumed that each product is independent of the others.