A coin is tossed 764 times and comes up heads 397 times. Use the Empirical Method to approximate the probability that the coin comes up

Maria spins a penny 100 times and it lands head side up 62 times. Explain why Maria's experimental probability may be different from the theoretical probability of spinning a coin.

A national survey reported that 31% of adults in a certain country have hypertension (high blood pressure). A sample of 21 adults is studied. Round the answer to at least four decimal places. What is the probability that fewer than 4 have hypertension?

About  15%  of employed adults in the United States held multiple jobs. A random sample of  125  employed adults is chosen. Find the probability that more than  8.5%  of the individuals in the sample of  125  hold multiple jobs. Round the answer to at least four decimal places.

A coin is tossed 300 times and comes up heads 138 times. Use the Empirical Method to approximate the probability that the coin comes up heads. Round your answer to four decimal places as necessary.

A standard pair of six-sided dice is rolled. What is the probability of rolling a sum less than 10? Express your answer as a decimal rounded to four decimal places.

Explain the three main steps of the methodology through which some statistical variable (e.g., data) will be fit to a given probability distribution? Describe each of the 3 steps and how they relate to each other..

The mosquitos are out in your back yard, and they bite you at random times. Each bite happens independently of the last bite. The average time between bites is 2.501 minutes. What is the probability that it takes longer than 1 minutes for them to first bite you?

The table summarizes results from 988 pedestrian deaths that were caused by automobile accidents. Pedestrian Deaths Driver Intoxicated? Yes No Pedestrian Intoxicated? Yes No 42 85 250 611 If one of the pedestrian deaths is randomly selected, find the probability that neither the pedestrian nor the driver was intoxicated. Please enter a decimal to 4 places.

Assume that a student alarm clock has a 6.6 % daily  failure rate. What is the probability that the students alarm clock ill not work on the day of an important final exam?