Use the probability distribution to complete parts (a) and (b) below. The number of defects per 1000 machine parts inspected Defects 0 1 2 3 Probability 0.269 0.295 0.241 0.144 4 0.038 5 0.013 (a) Find the mean, variance, and standard deviation of the probability distribution. The mean is. (Round to one decimal place as needed.)

What is the standard deviation of this probability distribution

The probability distribution given describes the number of thunderstorms that a certain town may experience during the month of August. Let X represent the number of thunderstorms in August. Calculate the variance (VX). X=# of storms 0 1 2 3 p(x) 0.1 0.2 0.4 0.3 A.   1.06 B.    1.6 C.     0.94 D.     0.89

Save Use the probability distribution to complete parts (a) and (b) below. The number of defects per 1000 machine parts inspected Defects Probability 0.262 0.301 0.243 0.138 0.042 0.014 (a) Find the mean, variance, and standard deviation of the probability distribution. The mean is 1.4. (Round to one decimal place as needed.) The variance is 1.5. (Round to one decimal place as needed.) The standard deviation is 1.2. (Round to one decimal place as needed.) (b) Interpret the results. The mean is , so the average batch of 1000 machine parts has The standard deviation is so the typical number of defects in a batch of 1000 (Round to one decimal place as needed.) no defects. 1 or 2 defects. at least 2 defects. Clear all Check answe!

Use the probability distribution to complete parts (a) and (b) below. The number of defects per 1000 machine parts inspected Defects 1 2 3 4 Probability 0.267 0.291 0.238 0.148 0.040 0.016 (a) Find the mean, variance, and standard deviation of the probability distribution. The mean is (Round to one decimal place as needed.) The variance is. (Round to one decimal place as needed.) The standard deviation is (Round to one decimal place as needed.) (b) Interpret the results. V The standard deviation is1. so the typical number of defects in a hal The mean is , so the average batch of 1000 machine parts has batch of 1000 (Round one decimal place as needed.) Enter your answer in each of the answer boxes. Next Question

Use the probability distribution to complete parts​ (a) and​ (b) below.     The number of defects per 1000 machine parts inspected Defects 0 1 2 3 4 5   Probability 0.266 0.292 0.238 0.145 0.040 0.019 ​(a) Find the​ mean, variance, and standard deviation of the probability distribution.   What is the mean? ​(Round to one decimal place as​ needed.)   ​(b) Interpret the results In part​ (a), and Use these values to draw a conclusion in the context of the problem.

Estimate the indicated probability by using the normal distribution as an approximation to thebinomial distribution. Estimate P(6) for n = 18 and p = 0.3

Suppose that the weight of an newborn fawn is Uniformly distributed between 2.5 and 3.8 kg. Suppose that a newborn fawn is randomly selected. Round answers to 4 decimal places when possible.a. The mean of this distribution is    b. The standard deviation is    c. The probability that fawn will weigh exactly 3.7 kg is P(x = 3.7) =    d. The probability that a newborn fawn will be weigh between 3.1 and 3.4 is P(3.1 < x < 3.4) =    e. The probability that a newborn fawn will be weigh more than 3.36 is P(x > 3.36) =  f. P(x > 2.6 | x < 3.3) =  g. Find the 58th percentile.  solve e,f and g only.

Use the probability distribution to complete parts (a) and (b) below. The number of defects per 1000 machine parts inspected Defects 1 2 4 Probability 0.264 0.290 0.240 0.148 0.042 0.016 ..... (a) Find the mean, variance, and standard deviation of the probability distribution.

Please also find variance and standard deviation