The editor of a textbook published company is trying to decide whether to publish a proposed business statistics textbook. Information on previous textbooks published indicates that 10% are huge successes, 20% are modest successes, 40% break-even, and 30% are losers. However, before a publishing decision is made, the book will be reviewed. In the past, 99% of the huge successes received favourable reviews, 70% of the moderate successes received favourable reviews, 40% of the break-even books received favourable reviews, and 20% of the losers received favourable reviews. a. If the proposed textbook received a favourable reviews, how should the editor revise the probabilities of the various outcomes to take this information into account? b. what proportion of textbooks receive favourable reviews?
The editor of a textbook published company is trying to decide whether to publish a proposed business statistics textbook. Information on previous textbooks published indicates that 10% are huge successes, 20% are modest successes, 40% break-even, and 30% are losers. However, before a publishing decision is made, the book will be reviewed. In the past, 99% of the huge successes received favourable reviews, 70% of the moderate successes received favourable reviews, 40% of the break-even books received favourable reviews, and 20% of the losers received favourable reviews. a. If the proposed textbook received a favourable reviews, how should the editor revise the probabilities of the various outcomes to take this information into account? b. what proportion of textbooks receive favourable reviews?
Solution Summary: The author determines the revised probability of the various outcomes from the provided information, if the proposed book receives a favorable review.
The editor of a textbook published company is trying to decide whether to publish a proposed business statistics textbook. Information on previous textbooks published indicates that 10% are huge successes, 20% are modest successes, 40% break-even, and 30% are losers. However, before a publishing decision is made, the book will be reviewed. In the past, 99% of the huge successes received favourable reviews, 70% of the moderate successes received favourable reviews, 40% of the break-even books received favourable reviews, and 20% of the losers received favourable reviews.
a. If the proposed textbook received a favourable reviews, how should the editor revise the probabilities of the various outcomes to take this information into account?
b. what proportion of textbooks receive favourable reviews?
a) When two variables are correlated, can the researcher be sure that one variable causes the other? If YES , why? If NO , why?
b) What is meant by the statement that two variables are related? Discuss with examples.
Good Day, assist me with plotting the following. I've already calculated the System Average Interruption Duration Index and System Average Interruption Frequency Index. using this data
Create time series plots form the reliability metrics SAIDI and SAIFI along with thetrend lines based on the linear regression
SAIDI(MINUTES)
SAIFI(Interruptions)
2.58
0.045
2.94
0.056
2.32
0.056
3.21
0.177
2.78
0.180
2.72
0.121
2.44
0.119
3.19
0.175
2.21
0.065
2.30
0.135
3.49
0.128
3.60
0.112
2.15
0.104
3.75
0.055
3.12
0.036
2.85
0.123
2.62
0.173
3.08
0.047
1.92
0.040
2.94
0.147
Finish times (to the nearest hour) for 10 dogsled teams are shown below.
Make a frequency table showing class limits, class boundaries, midpoints, frequency, relative frequencies, and cumulative frequencies. Use three classes. The class size of the given data is 25. (Round your answer for relative frequency to the nearest hundredth and for midpoint to the nearest tenth.)
262
236
272
256
294
242
288
258
284
310
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