On a December day, the probability of snow is 0.30. The probability of a “cold” day is 0.50. The probability of snow and a “cold” day is 0.15. Thus, snow and “cold” weather are _____.

The weight of football players is normally distributed with a mean of 200 pounds and a standard deviation of 25 pounds. The probability of a player weighing more than 241.25 pounds is _____.

If P(A) = 0.80, P(B) = 0.65, and P(A ∩ B) = 0.78, then P(B | A) = _____.

The variance for the binomial probability distribution is _____.

A numerical measure from a sample, such as a sample mean, is known as _____.

The weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation of 2 ounces. What is the random variable in this experiment?

Bivariate probabilities are often called _____.

The random variable x is the number of occurrences of an event over an interval of 10 minutes. It can be assumed the probability of an occurrence is the same in any two time periods of an equal length. It is known that the mean number of occurrences in 10 minutes is 5.3. The random variable x satisfies which of the following probability distributions?

If A and B are independent events with P(A) = 0.38 and P(B) = 0.55, then P(A | B) =

A circuit is shown in the figure. L = 0.26 H, R = 7 Ω, C = 6.3×10-4 F. The voltage of the AC source as a function of time is shown in the figure. What is the root-mean-square current in the circuit (unit in amperes, A)?