TM Let X denote the number of flaws observed on a large coil of galvanized steel. 75 coils are inspected and the following data were observed for the values of X. 2 3 4 5 13 11 Number of ≤1 flaws UTMUT Frequency 26 31 Does the assumption of a Poisson distribution seem appropriate as a probability model for this data? Use a = 0.01.

Chp 4 pt 1 Toss five fair coins and let x equal the number of tails observed. a. Identify the sample points associated with this​ experiment, and assign a value of x to each sample point. Then list all the possible values of x. b. Calculate​ p(x) for the values x=1 and x=4. c. Construct a probability histogram for​ p(x). d. What is ​P(x=1 or x=5​)?

Assume that different groups of couples use a particular method of gender selection and each couple gives birth to one baby. This method is designed to increase the likelihood that each baby will be a​ girl, but assume that the method has no​ effect, so the probability of a girl is 0.5. Assume that the groups consist of 50 couples. Complete parts​ (a) through​ (c) below.   a. Find the mean and the standard deviation for the numbers of girls in groups of 50 births.   The value of the mean is μ=_____________. ​(Type an integer or a decimal. Do not​ round.) The value of the standard deviation is σ=_____________. ​(Round to one decimal place as​ needed.)     b. Use the range rule of thumb to find the values separating results that are significantly low or significantly high.   Values of _______________girls or fewer are significantly low. ​(Round to one decimal place as​ needed.)   Values of _________________girls or greater are significantly high. ​(Round to one decimal place as​ needed.)…

do a , b, c