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The amount of time (in minutes) that an executive of a certain firm talks on the telephone is a random variable having the probability density
With reference to part (b) of Exercise 60, find the expected length of one of these telephone conversations that has lasted at least 1 minute.
Exercise 60
(a) Show that the conditional distribution function of the continuous random variable X, given a ? b, is given by
(b) Differentiate the result of part (a) with respect to x to find the conditional probability density of X given a ? b, and show that
consider the following statement each culture has its own norms of etiquette. in a diverse society like america as well
The bottom 1.5% of students must go to summer school. What is the minimum score you would need to stay out of this group?
a weight lifter is doing a leg extension exercise in a seated position with his knee joint center of rotation fixed on
customers arrive at a bakery at an average rate of 6 per half-hour. each customer spends an average of 2.50.a what is
What sample size is needed to estimate the proportion of Americans who favor tougher gun control with 95% confidence and maximum error of 3%. Assume past studies indicted that the proportion is around 40%.
In the following stem-and-leaf display for a set of two-digit integers, the stem is the 10's digit, and each leaf is the 1's digit. What is the original set of data?
dave drives to work each morning at about the same time. his commute time is normally distributed with a mean of 35
Identify the primary and secondary endpoints in the main trial. Was there any surrogate endpoint used? Was there any composite endpoint (combination of outcomes) used?
There is an operator at the center who places 25 outgoing calls in a one-hour period. What is the probability that this operator will get live answers on 7 or more calls?
When the data have the properties of ordinal data and the interval between observations is expressed in terms of a fixed unit of measure, the variable has which scale of measurement
Suppose that the conclusion from an ANOVA is that the null hypothesis is rejected, in other words that the 6 population means are not all equal. What should we expect?
Compute and compare the proportions of positive cases for the two exposure levels. What would be your conclusion? Calculate the odds ratio associated with high exposure. Does this result support your conclusion in part (a)?
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