Suppose x has the B(20, 0.5) distribution. Fint the P(x>10).

Suppose x has a distribution with a mean of 65 and a standard deviation of 36. Random sample size n= 81 are drawn. Describe the x distribution and compute the mean and standard deviation of the distribution. Find the z value corresponding to x=77. Find p(x<77). Would it be unusual for a random sample of size 81 from the x distribution to have a sample mean less than 77

Assume y follows theX distribution. Assume c₁ and c₂ satisfy P(Y> c₁) = 0.05 and P(Y < c₂) (b). = 0.05. Then C₁ = (a) and C2 =

Q2. The sampling distribution of means tends toward Normality only when the underlying populations is Normal. This is true of Central Limit Theorem. TrueB. FalseC. None of the above

The noon-day temperature (in °C) in Ajax last winter can be represented by the normal distribution X~N( 6, 62). How often was it above - 3°C at noon in Ajax last winter? Make a sketch.

I need to figure out the probability that component proportions produce the results X1 < 0.2 and X2 > 0.5 but I need help.

Which of the following statement is INCORRECT? If Y, follows the standard normal distribution and Y, follows a chis-square distribution with degrees of freedom n, then nY/Y t distribution. If X1,.., Xn is a random sample from a normal population with population mean 1 and variance 1, then (X -1) + (X - 1 (X, - 1) follows a chi-square distribution with degrees of freedom n. If X,..., Xn is a random sample from a normal distribution with population mean 0 and a known variance o, then must follow a distribution, where X denotes the sample mean and S denotes the sample standard deviation. If T follows at distribution with degrees of freedom n, then T must follow an F distribution with degrees of freedom 1 and n.