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Which of the following is not true about the student's t distribution?
a. It has more area in the tails and less in the center than does the normal distribution.
b. It is used to construct confidence intervals for the population mean when the population standard deviation is known.
c. It is bell-shaped and symmetrical
d. As the number of degrees of freedom increases, the t distribution approaches the normal distribution.
Using sample, determine a 98% confidence interval for mean weight of whole daily output.
In the publication Employment and Earnings, information on the ages of people in the civilian labor force was published. Seventy-five people in the civilian labor force are randomly selected.
A communication network transmits binary digits, 0 to 1, where each digit is transmitted 10 times in succession. During each transmission, there is a 0.995 probability of accurate transmission.
What is the 95% confidence interval for the true average number of hands per hour during peak hours?
The mean number of passengers per flight is 160 with a standard deviation of 20. The aircraft used for the route has 200 seats.
Impact on sampling of increasing sample size is: The potential for extreme sampling error is reduced.
Supposing that the entire $10,000 can be spent on tires (ignoring other costs), and that the true fraction that will fail is approximately .05, can NHTSA attain its goal while staying within the budget? Describe.
Calculate a 95% confidence interval for the population mean, based on the sample 10, 12, 13, 14, 15, 16, and 49.
The probability that home sales will increase in the next 6 months is 0.25. The probability that the interest rates on loans will go up in the same period is estimated to be 0.74.
Two sample z-test for the difference between two population proportions
The difference between expected payoff under certainity and expected value of the best act without certainity is the expected:
SAT Scores and the Central Limit Theorem. Assume that SAT scores are normally distributed with a mean of 500 and a standard deviation of 100.
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