When particle motion of a medium is parallel to the direction of a wave propagation, what is the wave being transmitted called?

____________ utilizes numerical and graphical methods to look for patterns in a data set, to summarize the information revealed in a data set, and to present that information in a meaningful way.

A beacon transmits a signal every 10 minutes (such as 8:20, 8:30, etc.). The time at which a receiver is tuned to detect the beacon is a continuous uniform distribution from 8:00 a.m. to 9:00 a.m. Consider the waiting time until the next signal from the beacon is received. What is the probability that the waiting time is less than 4 minutes?

Random variable X possesses a normal distribution with mean 50 and standard deviation 10. Random variable Y possesses a normal distribution with mean 50 and standard deviation 20. Which of the following is​ true?

A company produces 60% of its products in Factory A and 40% in Factory B. Defective rates are 3% for Factory A and 5% for Factory B. If a randomly selected product is defective, what is the probability that it came from Factory B

Suppose that the current measurements in a strip of wire are assumed to follow a normal distribution with mean, μ = 10, and standard deviation, σ = 2 mA, determine the value for which the probability that current measurement is less than this value is 0.95.

A manufacturing company has three factories: A, B, and C. The daily output of each is shown in the table below. Are the events “manufactured in Factory A” and “TVs” independent? Total 24 52 28 104 Product Factory A Factory B Factory C Total Stereos 6 20 13 39 TVs 18 32 15 65

The waiting line at a popular bakery shop can be quite long. Suppose that the waiting time in minutes has probability density function .  Calculate the mean 

Victory, a computer science major, grows tomatoes in her spare time. She keeps a record of the weight of each tomato she grows. What percentage of all her tomatoes will be within three standard deviations of the mean​ weight?

A credit card company monitors cardholder transaction habits to detect any unusual activity. Suppose that the dollar value of unusual activity for a customer in a month follows a normal distribution with mean $250 and variance $400. What is the probability of $304 to $310 in unusual activity in a month?