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At a state political rally, a spaker announced "we should raise test scores so that the students are above the state median". How would you analyze this statement?
Solution utilizing graphical method. Compute the following linear programming problem. Among which of the following points (X, Y) is not a feasible corner point.
Compute the number of French fries that would have to be sampled and measured to be 98% sure of being within 0.4 cm of the true mean.
Let's further suppose that there was good interrater reliability on these frequency counts of behaviours and that they are interval/ratio level of measure, normally distributed, and independent observations.
A journal polled its readers to determine the proportion of wives who, if given a second chance, would marry their husband again.
Chi-square test for goodness of fit - difference in the use of the four entrances?
Is spine bone density is normally distributed in young women with a mean of 1.0 g/cm 2 and a standard deviation of .10 g/cm 2 , then how many young women out of 100 would you expect to have bone densities less than .85 g/cm 2 ?
Assume the population standard deviations are not the same. At the .05 significance level, is there a difference in the mean waiting time?
Find a 95% confidence interval for the mean daily caloric intake. Interpret this interval.
A large population of overdue bills has balances that follow a normal curve. When we take a sample of 100 of these the average is $500 and the SD is $100.
How many departments would they need to survey to achieve this level of accuracy with 95% confidence?
Post-hoc fallacy is that condition where regression shows a high degree of correlation (R square is high), but there is no real cause-effect relationship between the independent and dependent variables.
Two tools that are often used in this process are the contingency table and the decision tree. What are these tools and how to they help us to make decisions under uncertainty when we are dealing with probabilities?
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