Help with the Questions below

Questions:

which of the following is a true statement for a regression analysis?

-regression analysis is applied only to a non-linear model

-regression analysis is applied only to a multiplicative model

-regression analysis is applied only to a linear model

-regression analysis is applied only to an exponential model

an experiment with more than one manipulated factor is called

-simple random design

-non-randomized block design

-factorial design

-none of the above

While regression analysis is a useful tool for making budgeting predictions, learning how to become proficient in regression analysis is beyond the scope. But, knowing what regression analysis can do for the budgeting process is important. Make a short paragraph, or two, explaining what you feel regression analysis can provide during the budgeting process.

In Hypothesis Testing the "Null Hypothesis", Ho, assumes and means:

All observed results in regression analysis are the result of systemic causes;

All observed results in the regression analysis are the result of random chance;

Has nothing to do with regression analysis;

None of the above.

19.In Hypothesis testing the "Alternative Hypothesis", H(A), assumes and means:

All observed results in regression analysis are the results of random chance;

Observed results in the regression analysis are the results of systemic causes with random change having limited probability of effecting the results;

Has nothing to do with regression analysis;

All of the above;

While regression analysis is a useful tool for making budgeting predictions, le

Problem 1: A Central Limit Theorem Simulation Here we will perform a Central Limit Theorem simulation similar to the ones done in class. That is: . Pick a distribution (that was not presented in class) . Justify that the distribution will abide by the central limit theorem . Find a parameter set and value for / where we can see that the central limit theorem clearly applies . Find a parameter set and value for / where we can see that the central limit theorem does not apply . Code must be submitted (preferably in R, but MATLAB, Python, ForTran, and C++ will also be accepted).18. Is this experiment a binomial experiment? Explain your answer. Use the characteristics of the binomial distribution given below to answer questions 21 Suppose there is a binomial distribution with: n = 63 and p = 0.38 2 19. What is the mean of the binomial distribution? 20. What is the variance of the binomial distribution? 21. What is the standard deviation of the binomial distribution?Problem02_03: Binomial Distribution The binomial distribution (Wiklpedia>Bin0mial distribution) is given by f(x)=C:p"(1p)"'x, x =0, 1, 2, , n where p is a real number (0 . N p. =] 0 d Without Using the Central Limit Theorem, Xexactly follower . No.ed. Outcome Probability Conditional probability = called for Called all 3 0.15 called Jury duty years Conditional probability for jury 0.15 not called Called the 1st and duty (0.15)10.85) - Conditional for Jury 2nd years but not 0.019125 called probability = duty the 3rd 0.85 for jury Conditional Probability probability called for Called the ist and 0.15 duty not 0.15 jury duty 3rd years but not (0.15)(0.85)(0,15)= called the 2nd 0.019125 Conditional probability for jury not called Called the 1st 0-85 duty Conditional for jury year but not the probability = duty 2nd and 3rd 0.85 Conditional called for Not called the 1st probability = 0.15 year but called the (0.85)10.15)= called jury duty 0,019125 2nd and 3rd years Conditional for jury probability 0.15 duty not called Not called the ist not Conditional for jury or 3rd year but (0.85)(0.15)(0.85)- Probability probability = 0. 108375 0.85. called 0.85 duty called the 2nd year for jury Conditional duty not probability called for Not called the ist or (0.85) (0.15)- 0.15 called jury duty 2nd year but called 0.108375 Conditional the 3rd year probability = for jury 0.85 not called P(chosen at least duty Conditional for jury Not called any (0.8513 - 0.614125 probability = duty of the 3 years 1 year ) = 0.85