) Geometric distribution p(x) = p²-¹(1 - p); ) Poisson distribution p(x) = e-; 21
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- ) Determine the mean (μ!" ) of sample means distribution (x#-distribution).b) Determine the standard deviation (standard error) (σ!" ) of sample means distribution(x#-distribution).c) Draw a Normal (bell-shaped) graph for sample means distribution (x#-distribution) byhand on a paper showing x and y axes without any values marked on them. However,label the values of mean and standard deviation as described below. The adult male heights in a country vary normally with mean of 70 inches and standarddeviation of 4 inches. We draw many samples of size 100 from the above populationusing repeated random sampling and record the mean height for each sample to constitutea sample means distribution (x#-distribution). Do the above for the distribution.Consider an electronic component with a lifetime denoted by a random variable T which is modelled by an exponential distribution with a parameter of average lifetime B = 5. Part A: Exponential Distribution Write the probability that a component is still working after 5 years, as an expression: P(T > 5) = | dt Use t for T e() for exponential function ()! for factorial ( )*( ) for exponents • Help entering equations Part B: Probability Write the probability that a component is still working after 5 years, numerically: P(T > 5) = • Help entering equations Part C: Binomial Distribution Let X be the random variable representing the number of components that are still working after 5 years. Write the binomial distribution for at least 3 components that are still working, as an expression: P(X 2 3) = Use p for parameter p x for the value of the random variable X e() for exponential function C(n,x) for combination of "x out of n" (O! for factorial (O*) for exponents • Help entering equations…5
- Compute P(X) using the binomial probability formulaThen determine whether the normal distribution can be ed to estimate this probabilityIf soapproximate P(X) using the normal distribution and compare the result th the exact probability n=53, p = 0.7 and X = 4116. A sampling Distribution of sample mean (Central Limit Theoren) The diameters of fully grown white oak trees are normally distributed ,whit a mean of 3.5 feet and standard deviation 0.2 foot . Random sample of size 16 are drawn from this population ,and the mean of each sample is determinate. Find the mean and standar deviation of sampling distribution of sample mean.Then sketch a graph of the sampling distribution.a) Mean b) Binomial Distribution
