X is binomial distribution(n,p)
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Q: MEAN=50 STANDARD DEVIATION =7 P(3440)= *Round to 4 decimal as needed*
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Q: MEAN=50 STANDARD DEVIATION =7 P(3541)= *Round to 4 decimal as needed*
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X is binomial distribution(n,p), pls kindly help to find E(X^2) and E(X^3)=?
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- Answer These questions D and EI am having trouble with this last homeworkConsider 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…
- A model for normal human body temperature, X, when measured orally in °F, is that it is normally distributed, X ~ N (98.2,0.5184). (i) According to the model, what proportion of people have a normal body temperature of 99 °F or more? (ii) Find the normal body temperature such that, according to the model, only 10% of people have a lower normal body temperature. (iii) Let W denote normal human body temperature, when measured orally in °C. Given that W = (X - 32) and X ~ N(98.2,0.5184), what is the distribution of W? (iv) According to the model that you just derived for W, what proportion of people have a normal body temperature of between 36 °C and 36.8 °C?You can use one of the formulas.What type of distribution is appropriate to model the number of patients recovering from cancer in a clinical study following 100 patients ? Poisson Exponential Normal Binomial Uniform Geometric
- QUESTION 2 Given the probability density function f(x)=(0.02^9 x^8*e^(-0.02x))/8! for x>0 and f(x)=0 otherwise. Determine the mean and variance of the distribution. Round the answers to the nearest integer. a) the mean b) The varianceWhat is the variance and standard deviation for the number of times the SAT is taken? x Frequency (f) fx f*x2= (f*x) x (x) (4) = (3)x(1) 5152727-(2547473)(2547473)/1518859=880035.3688/1518859=0.5794 (1) (2) (3)=(1)x(2) (4)=(3x1) Population Variance 1 721,769 721,769 721,769 2 601,325 1,202,650 2,405,300 3 166,736 500,208 1,500,624 4 22,299 89,196 356,784 5 6,730 33,650 168,250 Total 1,518,859 2,547,473 5,152,727 880035.3688 0.5794 n=1,518,859 ∑fx = 2,547,473 The population variance is 0.5794 The Standard Deviation? 0.76 Can you show me the steps to reach the standard deviation of .76 ?Assume a poison distribution if A= 0.5, find p(x=1) the A represents a symbol
- We wish to test the hypothesis that data is being generated by the binomial process Given the datum value 280, we accept that it is generated by the process if it is in a 85 % symmetric about the mean interval for the process. Using a normal approximation, we accept the hypothesis if the datum is at least L and at most U– Since 280 Select an answer in the interval. we Select an answer the hypothesis.Please give solution in correct and step by step detailed format thanku Don't give solution in image format 1.A fair coin is flipped 400 times. Find the exact probability that the coin will land heads exactly 200 times and compare to the result of the normal approximation (with continuity correction)Please find question attached, Thanks!
