Suppose a 95% symmetric t-interval is applied to estimate a mean, but the sample data are non-normal. then the probability that the confidence interval covers the mean is not necessarily equal to 0.95. use a monte carlo experiment to estimate the coverage probability of the t-interval for random samples of x2(2) data with sample size n 20. compute a monte carlo estimate of the standard normal by generating from the cdf, uniform compare your estimates with the normal cdf function pnorm. compute an estimate of the monte carlo estimate of (2), and a 95% confidence interval for (2)

answer: standard form is ax^2 + bx + c = 0

step-by-step explanation:

standard form is ax^2 + bx + c = 0

(2x + 1)(x - 2) = 0

distribute to get into standard form

2x^2 - 4x + x - 2 = 0

2x^2 - 3x - 2 = 0

a = 2, b= -3, c = -2

a is your answer

given hc ∥ gd.¯¯¯¯¯¯which statement is true

step-by-step explanation:

∠cbe and ∠deb are same-side interior angles

answer: 16

step-by-step explanation: first you would add 6+6 which equals 12 then add 2+2 which equals 4. then add 12 + 4 which is 16.

hope this ^_^

y = i/2 xtnop + (3i/2 tnop+ 1)

step-by-step explanation:

the picture is the step by step explanation.