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More on the Normal curve and the P-value. A test statistic for a two-sided significance test for a population proportion is z = 2.42.
Sketch a standard Normal curve and mark this value of z on it. Find the P-value and shade the appropriate areas under the curve to illustrate your calculations.
Scrap rates per thousand (parts whose defects cannot be reworked) are compared for 5 randomly selected days at three plants. Does the data prove a significant difference in mean scrap rates?
If light bulbs have lives that are normally distributed with a mean of 2500 hours and a standard deviation of 500 hours, what percentage of light bulbs have a life less than 2500 hours?
the applet below simulates sampling from an urn containing n balls. the total number of balls in the urn the number of
At the .01 significance level is there a difference in the mean amount purchased on an impulse at the two stores? Explain these results to a person who knows about the t test for a single sample but is unfamiliar with the t test for independent me..
The distribution of amount of money undergraduate students spends on books for a semester in slightly right skewed, with a mean of $400 and a standard deviation of $80.
Calculate percentage and sectarian angle of each program - construct a frequency distribution and draw a histogram and frequency polygon.
Should the hypothesis be accepted at the 1% level of significance that the population means are the same for each (a) Octane of gasoline? (b) Type of car?Table Miles per Gallon for Each of 4 Octanes
the hard drive reader head is the only likely component to fail and all that fail are replaced. these have a life
The hazard rate of the failure time is a constant 0.10 and the force of interest is a constant 0.05. If Z is the present value of the benefits, find the probability that: (a) 0 Z ≤ 0.5, (b) 0 ≤ Z ≤ 0.5 and (c) 0 ≤ Z ≤ 0.7.
If a random sample of 52 devices yields 8 defectives, give a 98% confidence interval for the proportion of defective devices made by this machine.
Based on a scatter diagram, would you estimate the linear correlation coefficient to be:
Critically discuss some reasons that business outputs vary? For example why does production output vary? Explain the difference between common causes of variation and special causes of variation.
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