A factory manager collected data on the number of equipment breakdowns per day. From those​ data, she derived the probability distribution shown to the​ right, where W denotes the number of breakdowns on a given day. Answer parts a through c.   w 0 1 2     P(W=w) 0.65 0.20 0.015                 a. Determine μW and σW.   μW= ​(Type an integer or a​ decimal.) Determine μW and σW.   μW=0.350.35 ​(Type an integer or a​ decimal.)   σW= ​(Round to three decimal places as​ needed.) b. On​ average, how many breakdowns occur per​ day?   ​(Type an integer or a​ decimal.) c. About how many breakdowns are expected during a​ 1-year period, assuming 250 work days per​ year?   ​(Type an integer or a​ decimal.)

Subpart D,E,F

Answer 1&2 plz

Megan has purchased the insurance policy from an insurance company to cover the value of hers new car in case if it gets totaled for the price of $1500 per year. Megan's car worth $20000 and the probability of her totaling the car during the length of the policy is estimated to be 0.4%. Let XX be the insurance company's profit. Answer the following questions: 1. Create the probability distribution table for XX :  XX  outcome profit xx ,$  P(X=x)P(X=x)    car is totaled       car is not totaled     2. Use the probability distribution table to find the following:  E[X]=μX=E[X]=μX= dollars. (Round the answer to 1 decimal place.)  SD[X]=σX=SD[X]=σX= dollars. (Round the answer to 1 decimal place.)

Use the data in the following table, which lists drive-thru order accuracy at popular fast food chains. Assume that orders are randomly selected from those included in the table. Drive-thru Restaurant Q с A B D Order Accurate 318 271 244 134 Order Not Accurate 32 57 39 13 If one order is selected, find the probability of getting food that is not from Restaurant A. The probability of getting food that is not from Restaurant A is (Round to three decimal places as needed.)

Fill this table with the missing columns: Interval Frequency Probability Probability Density 1 3 13 4 - 6 15 7-9 19 9 - 11 14 11-16 17 - 26 3

A survey of almost 44,000 two-child families yielded the accompanying table. The probability distribution of x, the number of boys in a two-child family is given below. Find E(x) and give a practical interpretation of its value. Gender Configuration Proportion D Girl-girl (GG) Boy-girl (BG) Girl-Boy (GB) 0.215 0.267 0.256 P(x) 0.215 0.523 0.262 Boy-boy (BB) 0.262 Choose the correct answer below and fill in the answer box to complete your choice. (Round to three decimal places as needed.) O A. If a very large number of households were sampled, on average, there would be E(x) = boys. O B. If a very large number of two-child households were sampled, on average, there would be E(x) = boys. of getting a family with a boy. %3D O C. If a very large number of two-child households were sampled, there would be a probability of E(x) = O D. In the sample of 44,000 households, each household had E(x) = boys.

The table lists the drinking Sex Non-drinker Man Woman Total O A. 1.000 OB. 0.924 OC. 0.237 O D. 0.763 135 187 322 habits of a group of college students. If a student is chosen at random, find the probability of getting someone who is a non-drinker. Round your answer to three decimal placem Regular Drinker Heavy Drinker Total Total D 203 219 422 63 21 84 5 11 16 ***