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I scheduled three calls for a particular day, and each call has a probability of 0.5 of making a sale. What are his probabilities of making (a) three sales, (b) two or more sales, (c) no sales?
Determine critical value for boundary of the rejection region (i.e., Zα).
Suppose we conduct an ANOVA test of four treatment means and reject the null hypothesis. Construction of a confidence interval for the difference between the first and second sample mean revealed the interval to be 10 plus or minus 12. We conclude
The probability of a bulb lasting less than 2300 is .1573. The maximum probability of a bulb lasting less than 2300 hours should be only 5%. What must change specifically? How would that change be obtained practically?
A survey on the drinking habits of Americans estimated the percentage of adults across the country who drink beer, wine, or hard liquor at least occasionally. Of the 1516 adults interviewed, 985 said that they drank.
Give an example of a problem (business, political, scientific) in which ANOVA analysis would be appropriate. (Hint: the dependent variable is categorical, such as male vs. female or comparing three different types of fertilizer.)
To test whether the significant difference between two sample variance using F-tests.
For an arch chosen at random in Arches National Park, use the preceding information to estimate the probability that the height of the arch poening is:
ABC insurance sells term life insurance policies. If the plicy holder dies during the term of the policy ABC pays out $100000. If the person does not die ABC pays nothing and there is no further value to the policy.
At the .01 significance level, is there a difference in the use of the four entrances?
Explain which indicate that changes in the concentration of carbon dioxide which cause changes in the global temperature
Suppose that 1% of all people have a particular disease. A test for the disease is 99% accurate. This means that a person who test positive for the disease has a 99% chance of actually having the disease
Some television stations attempt to gauge public opinions by posing a question on the air and asking viewers to call to give their opinions.
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