Can statistical analysis be done on distributions that are not "normal"? Explain in detail.
yes statistical analysis will be done if distributions are not normal.if distribution is not normal we analysis data by using non -paramateric test .the non paramateric test include the Wilcoxon signed rank test the Mann-Whitney U Test and the Kruskal-Wallis test.
Can statistical analysis be done on distributions that are not "normal"? Explain in detail.
Why is the value-of-statistical-life measure not a value of a human life? Explain in detail.
Which of the following distributions is considered the cornerstone distribution of statistical inference? a. Poisson distribution b. Normal distribution c. Geometric distribution d. Binomial distribution e. Uniform distribution
As an assembly chart is done, explain in detail. How letters and numbers work.
The binomial and Poisson distributions are two different discrete probability distributions. Explain the differences between the distributions and provide an example of how they could be used in the healthcare industry. Identify the functions for binomial, Poisson, and normal distributions and discuss how Excel can be used to calculate probabilities of X, <X, and >X. Apply an example to at least one business scenario.
β ~ N(β, σ2/Sr.) and In normal regression analysis, the distributions of the estimators β and ά are given by à ~ N(a, σ2( + )), where Srz-Σ'al (zi-z)2. Prove that (a) Cov(Y, β)-0
Explain in detail the sectoral balances approach to macroeconomic analysis, and its implications for the fiscal balance when the foreign and domestic private sectors both have positive net savings desires. (5 marks) Explain in detail Hyman Minsky’s Financial Instability Hypothesis, using a balance sheet approach. How can stability be destabilising, according to Minsky? (5 marks)
Explain, in detail, what could have been done to avoid this type of Volkswagen crisis.
Correlation, Regression, Chi-Square and F Distributions and Nonparametric Statistics. Explain in detail what is meant by correlation. a. Give three examples of a positive correlation and three examples of a negative correlation. b. Describe at least one lurking variable for each of the correlations provided in part a. c. Describe one outlier that could occur with each of your examples from part a.
The uniform, normal, and exponential distributions a. are all continuous probability distributions. b. are all discrete probability distributions. c. are all the same distributions. d. can be either continuous or discrete, depending on the data.
Practice problems using various statistical methods
If n independent random variables X have normal distributions with means μ and the standard deviations σ , then determine the distribution of a. I. X-E(X) var(X) C. 2. If n independent random variables Xi have normal distributions with means μί and the standard deviations σί, then determine the distribution of a. b. Y -a1X1 + a2X2+ + anXn (ai constant) X-E(X) Vvar(X) 3. What is CLT? Proof briefly? What are t-, Chi-squared- and...