A NUMMI assembly Line, which has been operating since 1984, has built an average of 6.000 cars and trucks a week. Generally, 10% of the car’s were defective coming off the assembly line. Suppose we draw a random sample of n 100 cars. Let X represent the number of defective cars In the sample. ‘What can we say about X In regard to the 68-95-99.7 empirical rule (one standard deviation, two standard deviations and three standard deviations from the mean are being referred to)? Assume a normal distribution for the defective cars in the sample.
A NUMMI assembly Line, which has been operating since 1984, has built an average of 6.000 cars and trucks a week. Generally, 10% of the car’s were defective coming off the assembly line. Suppose we draw a random sample of n 100 cars. Let X represent the number of defective cars In the sample. ‘What can we say about X In regard to the 68-95-99.7 empirical rule (one standard deviation, two standard deviations and three standard deviations from the mean are being referred to)? Assume a normal distribution for the defective cars in the sample.
A NUMMI assembly Line, which has been operating since 1984, has built an average of 6.000 cars and trucks a week. Generally, 10% of the car’s were defective coming off the assembly line. Suppose we draw a random sample of n 100 cars. Let X represent the number of defective cars In the sample. ‘What can we say about X In regard to the 68-95-99.7 empirical rule (one standard deviation, two standard deviations and three standard deviations from the mean are being referred to)? Assume a normal distribution for the defective cars in the sample.
The following data represent total ventilation measured in liters of air per minute per square meter of body area for two independent (and randomly chosen) samples.
Analyze these data using the appropriate non-parametric hypothesis test
each column represents before & after measurements on the same individual. Analyze with the appropriate non-parametric hypothesis test for a paired design.
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Hypothesis Testing using Confidence Interval Approach; Author: BUM2413 Applied Statistics UMP;https://www.youtube.com/watch?v=Hq1l3e9pLyY;License: Standard YouTube License, CC-BY
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