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To estimate the true proportion of students who abstain from alcohol at LBCC, you will need to take a simple random sample.
a) How large a sample would you need if you want your estimate to be within .03 of the true value with a 97% confidence level and you know nothing about the population?
b) Repeat part (a) except now you know that a previous study found that 19% of college students abstain from alcohol.
c) For a sample size 96, you came up with a confidence interval of (.159, .241). What is the confidence level of this interval?
d) Using the information in part (c), create a 99% confidence interval.
Assuming that the Poisson distribution is a plausible model in describing variability of asbestos fiber counts in filters; derive a 95% confidence interval indicating the variability in the average number in asbestos fibers.
Develop a 99% confidence interval for the population proportion.
For adults 60 years or older, they found a mean daily intake of 721 mg with a standard deviation of 454 mg. Using these values for the mean μ and standard deviation σ for the U.S. population:
Is it reasonable to compute that the mean of the population is actually $15,000.
At the .01 significance level, can she conclude that there is a difference between how well the different tutorials work for the students?
A stationery store wants to estimate the mean retail value of greeting cards that it has in its inventory. A random sample of 100 greeting cards indicates a mean value of $2.55 and a standard deviation of $0.44.
P(A 1 )= .20, P(A 2 ), and P(A 3 )= .40. P(B 1 I A 1 ) = .25. P(B 1 I A 2 ) = .05. P(B 1 I A 3 )=.10. Use Bayes' theorem to determine P(A 3 I B 1 )
To test whether there is a significant mean difference among the three.
If is the proportion of the next 100 shoppers that buy a packet of the crackers after tasting a free sample, then the probability that fewer than 30% buy a packet after tasting a free sample is approximately.
Solve different inventory control problems using an appropriate OR method.
Sample data recently collected indicate that Dough Boy's crusts average 30 centimeter in diameter, with a standard deviation of 1.1 centimeters.
There were 25 subjects included in each of the combinations of gender and smoking status. One of the variables measured was the heart rate after six minutes of exercise. A two-way ANOVA is performed with the resulting ANOVA table given below
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