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During an assembly process, parts arrive just as they are needed. However, at one station, the probability is 0.01 that a defective part will arrive in a one-hour period. Find the probability that
a) exactly 1 defective part arrives in a 4-hour span.
b) 1 or more defective parts arrive in a 4-hour span.
c) exactly 1 defective part arrives in a 4-hour span and exactly 1 defective part arrives in the next 4-hour span.
Identify the point estimate of the average number of available hotel rooms in this lesson from each sample. Construct and Interpret a 95% confidence level for the true mean number of available hotel rooms, based on the point estimate of each sampl..
question based on comparing the computed chi square with the critical value for chi square which if the following is
A sample of 200 such candies is randomly selected. Find the mean and the standard deviation for the number of orange candies in such groups of 200.
Find out the probbility that exactly five arrive within two days?
Find out the critical value for the given degrees of freedom of the F-test also the lower-tailed critical value of F test for the similar level of significance
question a number of post-1983 pennies and post-1964 quarters were weighed. here is a summary of the resultspennies n
If statistically significant, do you believe the difference is large enough to be significant? If so, to whom, and explain why? Is normality assumption fulfilled? Describe.
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A bowl contains 16 chips, of which 6 are red, 7 are white, and 3 are blue. If four chips are taken at random and without replacement, find the probability that: there is at least one chip of each color.
Which of the z-scores below is the smallest one that leads to rejection of the null hypothesis - Identify the population to which the results of the test apply.
To test the hypothesis that 48% of PC users have never used a Mac, the analyst took a sample of 50 PC customers drawn at random and found that 22 of them had never used a Mac.
When assigning probabilities of two simple events, can we assume that each event is always equally likely to occur and, thus assign .5 to each event?
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