ADM 2304 Lecture Notes - Lecture 3: Normal Distribution, Standard Deviation, Box Plot
2 Jun 2016
School
Department
Course
Professor
Document Summary
When = (x) is not known and must be estimated by calculating, s = s(x) A tire manufacturer tests tires to find their life in thousands of km. The data, kmtirek is stored in c1 and is shown below: print the data: # obtain the basic statistics for data in c1. # also draw the histogram superposed with the normal. Histogram of kmtirek, with normal curve y c n e u q e r. Mtb > nscore c1 c2 # find the nscore of c1 and put in c2. Mtb > plot c2*c1 # plot the nscore vs the data in c1 e r o c. It is reasonably normally distributed: find the confidence interval (t-interval) with different ccs : Mtb > tinterval 95. 0 "kmtirek";# t-confidence interval of data in c1 with default cc of 95% Kmtirek 32 91. 69 17. 33 3. 06 ( 85. 44, 97. 93) Since cc = 1 = 0. 95, ls = = 0. 05 t (31) t-confidence interval: / 2.
