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a. Evaluate the correlation between the two scores and state if there seems to be any association between the two.
b. Find the probability of upgrading for each division of the sample by the Bayes' theorem.
c. Find the probability of upgrading for each division of the sample by the naïve version of the Bayes' theorem.
d. Compare your results in parts b and c and explain the difference or indifference based on observed probabilities.
Attached link for the excel spreadsheet. Link is good to use now.
https://docs.google.com/spreadsheets/d/18S48EeD4bahmUoxuNmIKIKhRdZ8QbPiO8tfv357kO6o/edit?usp=sharing
?Construct a 99% confidence interval about the population mean difference. Compute the difference as device A minus device B.
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For the random sequence Xn defined in Problem 11.4.1, find the filter h = [h0 ··· hM-1]' of the optimum linear predictor of Xn+1, given Xn-M+1,..., Xn-1,..., Xn for M ∈ {2, 4, 8}. What is the mean square error e∗L (N) of the Mtap optimum linear pr..
The difference in the percentage of participants who quit (20% versus 46%) was statistically significant.
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What is the alternative hypothesis for the above scenario?
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Find the probability that the average of those counts is more than 63.0 mosquitos per square meter. Assume that the variable is normally distributed.
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