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A statistical analysis of 1000 long distance telephone calls made from the headquarters of the Bricks and Clicks Computer Corporation indicates that the length of these calls is normally distributed with u=240 seconds and sigma = 40 seconds.
a. What is the probability that a call lasted less than 180 seconds.
b. What is the probability that a call lasted between 180 and 300 seconds.
c. What is the probability that a call lasted between 110 and 180 seconds.
d. What is the length of a call if only 1% of all calls are shorter.
Crete a 90% confidence interval for mean Secchi dish measurement.
Mean and standard deviation are 584.6 and 34.28
Expectation and variance of a random variable and let X be a random variable with the following probability distribution:
In order that the sample proportion and the population proportion not differ by more than 0.05 with 95% level of confidence, what sample size should be used?
Formulate the hypotheses to test to see if the mean of the population is at least 12 ounces.
A sample of 20 is taken, resulting in a mean of 16.45 and standard deviation of 3.59. Assume that x is normally distributed and used alpha of 0.5 to test hypotheses.
Write down a paragraph about the normal distribution. In the paragraph give an example of a distribution that you would judge to be nearly normal and explain why you have made that conclusion.
Correlation between the two variables based on scatter plot - Show the scatter plot for the variables.
The faculty members at Boise State University were surveyed on the question "How satisfied were you with the Summer 2002 Schedule?" Their responses were to be categorized as "very satisfied," "somewhat satisfied," "neither satisfied nor dissatisfi..
A histogram of time spent eating & drinking each day is skewed right. Use this result to explain why a large sample size is needed to construct a confidence interval for the mean time spent eating & drinking each day.
A manufacturer claims that the life span of its tires is 52,000 miles. You work for a consumer protection agency and you are testing these tires. Assume the life spans of the tires are normally distributed.
Suppose that a certain college class contains 54 students. Of these, 34 are sophomores, 35 are psychology majors, and 7 are neither. A student is selected at random from the class.
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