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There used to be an ad on TV that claimed one toothpaste was proven to be more effective in fighting tooth decay than another. One of statistics professors was interested in the study, and after 6 ads finally got the address to write away for it from the TV.
The study was classically perfect - randomly assigned individuals into the test and control group, double blind administration of the tooth paste samples, etc. Everything looked great until step 2 of the hypothesis testing procedure, where alpha was defined as .80! Now this was a one tail test: My toothpaste has fewer cavities than the other (alternate hypothesis).
What is the impact of a .80 alpha? For those who do not understand statistical procedures, this probably sounds like a good 80% mark - but what is the 80% all about?
A statistics practitioner conducted a two-factor analysis of variance experiment with a =4, b = 3, and r = 8. The sum of squares are listed here:
How many commuters must be randomly selected to estimate the mean driving times of Chicago commuters? If we want 99% confidence that the sample mean is within 2 minutes of the population mean, and the population standard deviation is known to be 1..
A sales person at a company sold 6,903,435 of hardware equipment last year, a figure that represented the eighth decile of sales performance at the company. What can you conclude about the salesperson performance?
A consumer survey indicates that the average household spends m=$155 on groceries each week. The distribution of spending amounts is normal with a standard deviation of o=$25. Based on this distribution
A random variable has the density curve as in the graph below. Find The height of the density curve?
In a slow year, Deutsche Burgers will produce 2 million hamburgers at a total cost of $3.5 million. In a good year, it can produce 4 million hamburgers at a total cost of 4.5 million.
Calculate the t-test statistic by hand. I don't understand steps to solve this problem. If you could provide me with a step by step narrative it would be appreciated.
Why is cumulative relative frequency distribution so much more informative that just relative frequency distribution? Use examples to explain these differences.
The statistics professor plans class carefully so that length of his classes are uniformly distributed between 50 and 52 minutes. Determine the probability that class will be less than 50.25 minutes.
Using z-scores, a population with mean = 37 and standard deviation = 8 is standardized so that the new mean is mean = 50 and standard deviation = 10. How does an individual's z-score in the new distribution compare with his/her z-score in the orig..
Give three logically possible directions of casualty, indicating for each direction whether it is a reasonable explanation for the correlation in light of the variables involved (and why).
In the North American court system, a defendant is assumed innocent until proven guilty. In an ideal world, we would expect that the truly innocent will always go free, whereas the truly guilty ones will always be convicted.
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