An assembly line produces flip flops of stated length 200 mm. The actual length of the flip flops are evenly distributed between 195 and 205 mm. What would the height of the probability distribution be

There is a 0.9991 probability that a randomly selected 29​-year-old male lives through the year. A life insurance company charges ​$152 for insuring that the male will live through the year. If the male does not survive the​ year, the policy pays out ​$110,000 as a death benefit. Complete parts​ (a) through​ (c) below.       Question content area bottom Part 1 a. From the perspective of the 29​-year-old ​male, what are the monetary values corresponding to the two events of surviving the year and not​ surviving?   The value corresponding to surviving the year is ​$negative 152−152. The value corresponding to not surviving the year is ​$109,848109,848. ​(Type integers or decimals. Do not​ round.) Part 2 b. If the 29​-year-old male purchases the​ policy, what is his expected​ value?   The expected value is ​$enter your response here. ​(Round to the nearest cent as​ needed.)

Two Variable Analysis  grade 12 data management: An assembly line produces flip flops of stated length 200 mm. The actual length of the flip flops are evenly distributed between 195 and 205 mm.   What is the probability that a flip flop is greater than 203 mm?

A company conducting a survey to determine how prepared people are for a long-term power outage, natural disaster, or terrorist attack. The frequency distribution on the right shows the results. Use the table to answer the questions. what is the probability that the next person surveyed is very prepared?

A technician services mailing machines at companies in the Phoenix area. Depending on the type of malfunction, the service call can take 0.7, 1.4, 2.1, or 2.8 hours. The different types of malfunctions occur at the same frequency. If required, round your answers to two decimal places. a. Develop a probability distribution for the duration of a service call. Duration of Call f(a) 0.7 1.4 2.1 2.8 b. Which of the following probablity distribution graphs accurately represents the data set? 2. fx) 0.304 0.304 0.20 0.20 0.10- 0.10 0 0.7 14 2.1 2.8 O 0.7 14 2.1 2.8 3. fx) 0.304 0.20 0.10 0.7 1.4 2.1 2.8 |- Select your answer - c. Consider the required conditions for a discrete probability function, shown below. f(x) 20 (5.1) Ef(e) = 1 (5.2) Does this probability distribution satisfy equation (5.1)? - Select your answer - Does this probability distribution satisfy equation (5.2)? - Select your answer- d. What is the probability a service call will take 2.1 hours? e. A service call has just…

We are interested in analyzing data related to college football. Use S to denote the team is in the SEC and use W to denote a team has a winning season. The probability that a team is in the SEC in the data set is 5.5%. The probability that a team has a winning season is 52.5%. The probability that a team is in the SEC and has a winning season is 3.55%. What percentage of teams are in the SEC or had a winning season? b. What percentage of people teams are in the SEC and did NOT have a winning season? Given a team had a winning season, what is the probability that they are in the SEC? а. с.

You roll five fair six-sided dice. Let X denote the sum of the numbers shown. Compute the expectation and the variance of X.

For Exercise, use the data in the table categorizing smokers and nonsmokers according to their blood pressure (BP) levels. If one person is chosen at random, find the probability of the given event. Elevated BP 28 Normal BP 42 Total 70 Smokers Nonsmokers Total 80 10 90 122 38 160 The person has elevated blood pressure.

The table below shows the results of a survey about a junk food tax.     Support Oppose Unsure Male 116 370 14 Female 289 389 25   A person is selected at random from the sample.  What is the probability that the person is male and supports the tax? Your answer should be a decimal (not a percent) correct to three decimal places.

When practicing basketball, Rachel has a 67% chance of making a free throw. She shoots 12 free throws. Let the random variable X be the number of free throws she makes. Find the probability she makes exactly 5 free throws. Give your answer to at least three nonzero decimal places. What is the expected value of X. Interpret this value.