In: Statistics and Probability
Estimation of the parameters for the Normal and LogNormal distributions. DATA SET A: 2, 14, 23, 45, 67, 75, 89, 99, 101, 123, 138, 159, 188, 201, 203 DATA SET B: 13, 24, 35+, 65, 86, 99, 109, 118+, 131, 159, 189, 207 DATA SET C: 5, 13, 34+, 46+, 55, 74, 89, 93, 104, 112+, 126, 134, 145, 159, 167+, 173, 198, 203, 226, 241 DATA SET D: 9, 14, 85, 99, 126, 155, 169+, 199, 201+, 224+, 229, 256, 265, 289 (Note: + means censored time) For each of the data sets above, produce the following: Estimate the Mean and Population Standard Deviation parameters for the Normal Distribution using linear regression and comment on the strength of the fit. Estimate the Mean and Population Standard Deviation parameters for the LogNormal Distribution using linear regression and comment on the strength of the fit. Please show and explain work for each data set or explain how to plug numbers in for next group.
Solution:-
Given data
The Normal and LogNormal distributions
Data Set A:
Statistics
Variable | N | N* | Mean | SE Mean | StDev | Minimum | Q1 | Median | Q3 | maximum |
C1 | 15 | 0 | 101.8 | 17.1 | 66.4 | 2.0 | 45.0 | 99.0 | 159.0 | 203.0 |
Regression Analysis: C1 versus C2
The regression equation is
C1 = -16.23 + 14.75 C2
Model summary
S | R-sq | R-sq(adj) |
7,86128 | 98.70% | 98.60% |
Analysis of Varaince
Source | DF | SS | MS | F | P |
Regression | 1 | 60947.0 | 60947.0 | 986.20 | 0.000 |
Error | 13 | 803.4 | 61.8 | ||
Total | 14 | 61750.4 |