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General trace organic monitoring describes the process in which engineers analyse water samples for various organic materials (e.g. contaminants). The data below record the total organic carbon concentration, X, in 13 water samples collected from a river:
X: 5.1 5.7 7.5 8.1 5.8 6.1 3.1 7.1 9.2 3.7 4.4 6.8 9.8
Estimating the sample Cumulative Distribution Function (CDF) by S(xi) = i/(n + 1), use the Kolmogorov-Smirnov test to examine if these data are consistent with coming from a Normal distribution having mean 7.0 and standard deviation 2.0. Obtain the Normal Equivalent Deviates corresponding to the observed values of X and use these to produce a Q-Q plot. Does your plot indicate that these data are consistent with coming from a Normal distribution?
Describe a Bernoulli experiment and give two examples. What is the connection between a Bernoulli experiment and a binomial distribution? Explain.
What is the mean of this uniform distribution? What is the standard deviation?
If not what would be a better testing strategy? Could you form a Null Hypothesis or an Alternative Hypothesis? If yes, what would they be.
Compute a seasonalized or adjusted sales forecast.
Given that the test has a mean of 1000 and a standard deviation of 200 what is the lowest possible score needed for acceptance?
If a popcorn kernel is randomly selected, what is the probability that it takes between 130 seconds to 170 seconds for the kernel to pop?
Assume that these two ways to buy tickets are independent. The probability that someone who tries to buy tickets through the Internet AND by phone will obtain tickets is equal to?
What is the value of the mean square for error (the "within groups" mean square that would be reported in the ANOVA test, and what is the value of the mean square for treatments (the "between groups" mean sqaure) that would be reported in the ANOVA ..
Find the critical value for t and determine the null and alternate hypothesis.
Draw the normal curve model for auto fuel economy, following the 68-95-99.7 rule. Clearly label the X-axis with the mpg for the appropriate points.
All college males and females who worked last summer. We conjectured before seeing the data that men are more likely to work. The hypotheses to be tested are?
If the null hypothesis is rejected, can you state that the mean score of those with a rural background is different from the score of those with a large-city background?
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