The data given below show the number of overtime hours worked in one week per employee. Use the data to complete parts (a) and (b). Overtime hours 1 2 3 4 5 Employees 5 12 28 57 43 27 15 (a) Construct a probability distribution. (b) Graph the probability distribution using a histogram and describe its shape. (a) Construct the probability distribution by completing the table below. 1 2 3 4 5 6 P(x) (Round to three decimal places as needed.) (b) Choose the correct graph of the probability distribution. O A. OB. Oc. OD. 0.4- 0.44 0.4- 0.4- Q 0.3- 0.3- 0.2- 0.1- 0.3- 0.2- 0.3- Q 0.2- 0.2- 0.1- E 0.1- 01- 0- 0- 0- o123 4 5 6 o123 4 56 Overtime Hours Overtime Hours Overtime Hours Overtime Hours Describe the distribution's shape. Choose the correct answer below. uniform skewed left O approximately symmetric (but not uniform) O skewed right Águgegoj

ols A census collected data on everyone that lived in a certain small town. The random variable X is the number of girls born to a randomly selected couple in that town who has four children. Its probability distribution is shown below. Complete parts a through c. 0 0 1 0.2447 2 0.3208 3 0.2415 4 0.1073 P(X=x) 0.0857 ... a. Find and interpret the mean of the random variable. =(Round to four decimal places as needed.) View an example Help me solve this Get more help. F5 A MacBook Air F6 F7 DII Clear all FB F9 I Check answer F10 F11

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

The table shows the distribution, by age and gender, of the 28.5 million people in a certain region who live alone. Use the data in the table to find the probability that a randomly selected person in the region is a woman in the 18-24 age range living alone. Male Female Total Attempted Ages Ages Ages Ages Ages Ages 18-24 25-34 35-44 45-64 65-74 275 Total 0.9 2.3 2.4 0.7 1.5 1.2 1.6 3.8 3.6 4.6 1.4 1.5 4.8 6.3 5.0 2.2 9.6 3.6 BECER 13.1 15.4 28.5 The probability is (Type an integer or decimal rounded to the nearest hundredth as needed.)

The data given below show the number of overtime hours worked in one week per employee. Use the data to complete parts​ (a) and​ (b).   Overtime hours 0 1 2 3 4 5 6   Employees 4 14 25 54 44 28 18     ​(a) Construct a probability distribution. ​(b) Graph the probability distribution using a histogram and describe its shape.       ​(a) Construct the probability distribution by completing the table below.   x 0 1 2 3 4 5 6 ​P(x) enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here   ​(Round to three decimal places as​ needed.) ​(b) Choose the correct graph of the probability distribution.     A.                   012345600.10.20.30.4Overtime HoursProbability         A histogram has a horizontal axis labeled Overtime Hours from 0 to 6 in increments of 1…

The data given below show the number of overtime hours worked in one week per employee. Use the data to complete parts (a) and (b). Overtime hours Employees 0 5 X P(x) 0 1 14 1 2 34 (a) Construct a probability distribution. (b) Graph the probability distribution using a histogram and describe its shape. (a) Construct the probability distribution by completing the table below. 2 3 54 3 4 42 4 5 28 5 (Round to three decimal places as needed.) 6 17 6

%23 The following table contains the probability distribution for the number of traffic accidents daily in a small town. Complete parts (a) through (c) below. Number of Accidents P(X= x;) Daily (X) 0.28 0.31 0.17 3 0.09 0.07 0.05 4 0.03 a. Compute the mean number of accidents per day. (Type an integer or a decimal. Do not round.) More data-3_24_2022-4..xlsx 67 F e Type here to seareh

K The following data represent the number of drivers involved in a fatal crash in 2016 in various light and weather conditions. Complete parts (a) through (c) below. Click the icon to view the data for fatal crashes in 2016. (a) Among fatal crashes in unknown weather conditions, what is the probability that a randomly selected fatal crash occurs when it is dawn/dusk? The probability that a randomly selected fatal crash in unknown weather conditions occurs when it is dawn/dusk is approximately. (Round to three decimal places as needed.) Data table Weather Daylight Dark, but Lighted 5875 497 51 54 255 Normal Rain Snow/Sleet Other Unknown 14,307 875 219 125 810 (...) Dark 8151 681 156 220 548 Dawn/Dusk Other 1183 87 40 71 65 8 2 9 133 X