Key Properties of Chi-Squared, Student's t and Longnormal Distribution
About the Lecture
The lecture Key Properties of Chi-Squared, Student's t and Longnormal Distribution by Edu Pristine is from the course Archiv - Quantitative Analysis. It contains the following chapters:
- Students t-distribution
- Lognormal distribution
- The Chi-square distribution
- Hypothesis testing and confidence intervals
- Methods of probability sampling
- Developing sampling distributions
- Summary measures for the sampling distribution
- Central limit theorem
Author of lecture Key Properties of Chi-Squared, Student's t and Longnormal Distribution
Edu Pristine
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Excerpts from the accompanying material
... Chi-squared, Student’s t, Lognormal ...
... Flatter and thicker tails than normal distribution. ...
... The lognormal density function has the following ex pression: ...
... perform a quick test of the validity of the power law: Prob(v > x) = K * x-a. Where x is large, as a good model of the tail of the distribution? ...
... deviations against the log of x should be a straight (decreasing) line if the relationship strictly holds. ...
... The sampling distribution of the sample mean is a p robability distribution consisting of all possible sample means of a given sample size ...
... a sample is selected from each stratum. Independently and identically distributed (iid) ran dom variables: If a sample contains random variables such that each of them have the ...
... Values of X: 78, 76, 72, 74. Summary Measure for Population Distribution X N 70 71 72 73 74 75 76 77 78 79 ...
... Two important points ...
... and the mean is hypothesized to be 8. Suppose a sample size of 100 is considered. ...
... which implies that the sample mean X ...
