g You go to Amazon (Links to an external site.) to purchase a copy of Eugenie Grandet by Honore de Balzac. Amazon offers you 714 online choices (new, used, various vendors). But Amazon also recommends that you consider buying a copy of Hedda Gabler by Henrik Ibsen or Madame Bovary by Gustave Flaubert. How did they decide on these suggestions? The answer is that Amazon has a matrix (like an Excel pivot table) that keeps track of the frequency of copurchased items (e. g., books, music, DVDs) for web shoppers. Probabilities derived from the cells in this contingency table are used to recommend products that are likely to be of interest to you, assuming that you are "like" other buyers. While such predictions of your behavior are only probabilistic, even a modest chance of landing extra sales can make a difference in bottom-line profit. There are even more sophisticated logic engines that can track your web clicks. Is this an invasion of your privacy? Does it bother you to think that you may be predictable? Interestingly, many consumers don't seem to mind, and actually find value in this kind of statistical information system. Based on the example given above, how conditional probability, decision tree, and Bayes theorem will you apply in your business decision making process? Discuss.

1. what is the measure of ∠abc? what is the measure of ∠abd?

You are measuring the dimensions of the floor in your bedroom because you are planning to buy new carpet. which unit of measure is the most appropriate to use in this situation?

Listed below are time intervals (min) between eruptions of a geyser. assume that the "recent" times are within the past few years, the "past" times are from around 20 years ago, and that the two samples are independent simple random samples selected from normally distributed populations. do not assume that the population standard deviations are equal. does it appear that the mean time interval has changed? is the conclusion affected by whether the significance level is 0.10 or 0.01? recent 78 90 90 79 57 101 62 87 71 87 81 84 57 80 74 103 62 past 88 89 93 94 65 85 85 92 87 91 89 91 follow the steps of hypothesis testing, including identifying the alternative and null hypothesis, calculating the test statistic, finding the p-value, and making a conclusions about the null hypothesis and a final conclusion that addresses the original claim. use a significance level of 0.10. is the conclusion affected by whether the significance level is 0.10 or 0.01? answer choices below: a) yes, the conclusion is affected by the significance level because h0 is rejected when the significance level is 0.01 but is not rejected when the significance level is 0.10. b) no, the conclusion is not affected by the significance level because h0 is not rejected regardless of whether a significance level of 0.10 or 0.01 is used. c) yes, the conclusion is affected by the significance level because h0 is rejected when the significance level is 0.10 but is not rejected when the significance level is 0.01. d) no, the conclusion is not affected by the significance level because h0 is rejected regardless of whether a significance level of 0.10 or 0.01 is used.