The number of needed repairs while under warranty for a Sure Cut lawnmower has a population distribution as shown in the probability histogram below. The population mean is also given. Population 0.6 - 0.5 - 0.4 - 0.3 + population mean: u= 1.15 0.2+ 0.1+ Number of repairs Probability

The percentages of weapons used in murders in a certain year are described in the pie chart. Complete parts (a) through (c) below. Types of Weapons Used in Murders Fireams, 64.9% Knives or other cutting instruments, 10.2% Unknown or other dangerous weapon, 13.1% Personal weapons (hands, fists, etc), 11.8% a. Find the probability that a weapon randomly selected from those used in murders in this specific year was a firearm. The probability that a weapon randomly selected from those used in murders in this specific year was a firearm is Type an integer or a decimal.) b. Find the probability that a weapon randomly selected from those used in murders in this specific year was NOT a firearm The probability that a weapon randomly selected from those used in murders in this specific year was NOT a firearm is (Type an integer or a decimal.) c. From inspecting the pie chart, a student concludes that in any year, 11.8% of weapons used in murders are personal weapons What would you tell the…

Title Consider the following probability distribution for y = the number of broken eggs in a carton: a.... Description   Consider the following probability distribution for y = the number of broken eggs in a carton: y         0            1            2           3           4     p(y)     0.65    0.20       0.10         0.04      0.01 a. Calculate and interpret µy. b. In the long run, for what percentage of cartons is the number of broken eggs less than µy? Does this surprise you? c. Why doesn’t  Explain. µy=(0+1+2+3+4)/5=2.0?

Age Age   Gender Under 40 40 or Older Total Male  12 2 14 Female 8 3 11 Total 20 5 25 The table above shows the distribution of age and gender for 25 people who entered a contest. If the contest winner will be selected at random, what is the probability that the winner will be either a female or 40 or older? 13/25 16/25 3/25 10/25

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…

USATestprep, LLC.... T-Rex Chrome Offli... M Inbox (307)-randol... R6.1. Knees Patients receiving artificial knees oft experience pain after surgery. The pain is measured one subjective scale with possible values of 1 (low) to 5 (high Let X be the pain score for a randomly selected patient. The following table gives part of the probability distribution for X 2 Value: Probability: (b) (c) #3 54 1 0.1 $ N % 2 0.2 Find PIX= 5). If two patients who received artificial knees are cho sen at random, what's the probability that both of them report pain scores of 1 or 27 Show your work Compute the mean and standard deviation of X Show your work. 5 D Get the Most Out of.... A Registration - Paym.. 6 3 4 0.3 0.3 08 5 7 77

Find the mean of the following probability distribution? P(a) 0 0.1849 1 0.1895 2 0.0147 3 0.3983 4 0.2125 mean- (report answer rounded to one decimal place) Submit Question

Title Consider the following probability distribution for y = the number of broken eggs in a carton: a.... Description   Consider the following probability distribution for y = the number of broken eggs in a carton: y         0            1            2           3           4     p(y)     0.65    0.20       0.10         0.04      0.01 a. Calculate and interpret µy. b. In the long run, for what percentage of cartons is the number of broken eggs less than µy? Does this surprise you? c. Why doesn’t  Explain. µy=(0+1+2+3+4)/5=2.0?

Normal probability plots for three data sets are shown below. Which plot indicates that the data are approximately normally distributed? C. A. O O O O Plot B Plot A Plot C Plots A and B B. Q ME

The following is the probability distribution for an athlete of winning medals. Medal (Event) Gold E1 Silver E2 Bronze E3 No medal E4 P(Ei) 0.10 0.15 0.20 0.55 Find the probability of earning a medal. Group of answer choices 0.45 0.9 0.15 0.75 0.25