The relative conductivity of a semiconductor device is determined by the amount of impurity doped into the device during its manufacture. A silicon diode to be used for a specific purpose requires an average cut-on voltage of .60 V, and if this is not achieved, the amount of impurity must be adjusted. A sample of diodes was selected and the cut-on voltage was determined. The accompanying SAS output resulted from a request to test the appropriate hypotheses. N Mean Std Dev T ProbT 15 0.0453333 0.0899100 1.9527887 0.0711 [Note: SAS explicitly tests H0: 0, so to test H0: .60, the null value .60 must be subtracted from each xi ; the reported mean is then the average of the (xi .60) values. Also, SASs P-value is always for a two-tailed test.] What would be concluded for a significance level of .01? .05? .10? 3
Chapter 7: The Normal Distribution Random samples of data from a Normal Distribution whose mean µ = 64.5 and standard deviation σ = 2.5 Shortcut notation N(64.5,2.5). This distribution might represent heights of women from some population Smoothed out histograms whosearea under the curve is equal to 1 describe the overall pattern (distribution) of the population of data on that variable. Understand the 68 –95 –99.7 Rule on page247-248 of your text. Normal Distribution Curves(symmetricand bell-shaped) then according to the 68 – 95 – 99.7 rule: Approximately 68% of the data falls within one stdev of the mean. Approximately 95% of the data falls within two stdev of the mean. Approximately 99.7% of the data falls within t
