True/False: the number of life insurance policyholders is an example of a discrete random variable
True/False: the number of life insurance policyholders is an example of a discrete random variable
Can height be a discrete random variable? For example, would height be considered a discrete variable if it was the height of basketball players listed in a program? (Since it is most likely rounded to one decimal place)
Give an example of a discrete random variable. Question 5 Not yet answered Points out of 4.00 P Flag question Give an example of a discrete random variable. Select one: a. The number of inches of rainfall in a county Ob. The number of gallons of concrete used at a construction site C. The number of beverages sold at a lemonade stand d. The time required for a runner to finish a marathon e. The temperature of a pot roast...
real-life examples of data variables and challenged you to decide whether the random variable was discrete or continuous. Please provide two of your own real-life examples of data variables, one with a discrete random variable and one with a continuous random variable. Explain why they are discrete and continuous respectively.
Insurance companies in general must guard against having a disproportionate number of bad risks as policyholders. For their own profitability, they need to see the total payouts for a year as a fairly small percentage of the total premiums. This fundamental problem for insurance companies is known as a.inflation risk. b.co-insurance. c.adverse selection. d.deductible risk. e.rate of return risk. 1.I am insurance that provides for living and illnesses generally associated with nearing end-of-life, which frequently have my policyholders being in assisted...
Determine whether the value is a discrete random variable, continuous random variable, or not a random variable. a. The weight of a T-bone steak b. The number of hits to a website in a day c. The political party affiliation of adults in the United States d. The amount of rain in City B during April e. The exact time it takes to evaluate 27+72 f. The number of people with blood type A in a random sample of 48...
6. Insurance companies track life expectancy information to assist in determining the cost of life insurance policies. They want to know if their clients this year have a longer life expectancy, on average, so the company randomly sampled 20 policyholders to see if the mean life expectancy of policyholders has increased. The mean life expectancy for the random sample was 78.6 years with a sample standard deviation of 5.12 years. The insurance company will only change their premium structure if...
Determine whether the following value is a continuous random variable, discrete random variable, or not a random variable. a. The number of textbook authors now eating a mealnumber of textbook authors now eating a meal b. The usual mode of transportation of people in City Upper Ausual mode of transportation of people in City A c. The number of statistics students now doing their homeworknumber of statistics students now doing their homework d. The number of runs scored during a...
The number of aircraft landing at London Heathrow Airport per day is an example of a discrete random variable. (1) True. (2) False.
5.2.5 (2). Determine whether the value is a discrete random variable, continuous random variable, or not a random variable. A. The number of people with blood type Upper A in a random sample of 50 people It is a continuous random variable. It is a discrete random variable. It is not a random variable. b. The number of people in a restaurant that has a capacity of 200 It is a continuous random variable. It is a discrete random variable....
Give an example of a discrete or continuous random variable X (by giving the p.m.f. or p.d.f.) whose cumulative distribution function F(x) satisfies F(n)=1-1/n! Thank you very much! Exercise 3.40. Give an example of a discrete or continuous random variable X p.d.f.) whose the cumulative distribution function F(x) (by giving the p.m.f satisfies F(n)1 - i for each positive integer n or