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In 1990, the population of Austin, Texas, was 494,290. During the next 10 years, the population increased by about 3% each year.
A. Write a model (equation) showing the population, P, in thousands of Austin t years after 1990.
B. What was the population in 2000? Show your work.
C. Estimate the year when the population was about 590,000.
A certain airplane has two independent alternators to provide electrical power. The probability that a given alternator will fail on a 1-hour flight is .02. What is the probability that:
Out of forty students, 14 are taking English Composition and 29 are taking Chemistry. If five students are in both classes, how many students are in neither class? How many are ineither class?
What is the mean of this uniform distribution? What is the standard deviation?
The value of R-square indicates the amounts of variation in the dependent variable that is explained by the independent variable.
The variance of the return per share is 4 for stock 1 and 100 for stock 2. The covariance of the return between the two stocks is 5 per share. Use the total variance of the investment as investment risk.
A random sample of 16 ages is drawn from the population, and we find the sample mean of these observations to be μ = 8.76
What is the probability that the offspring will not have the disease. In other words what is the probability that offspeing will have genotype ss interpret this probability.
Make a decision using the Decision Rule approach at given α = 0.05.
At the .05 level of significance, is there evidence of a difference in variability in the shipping time between the two outlets? What decision should the carpet manufacturer make? Please provide step by step solution.
Heights of men on a baseball team has a bell-shape distribution with a means of 173 cm and a standard deviation of 9 cm. Using the empirical, rule what is the approximate percentage of the men between the following values?
At the 5% level of significance test whether the bottling process is carried out accurately or whether the filling machinery needs calibration. Use both the critical and the p-value approaches.
After performing a two sample t-test, you see a p-value of 0.0355. Of the following, which is the appropriate conclusion?
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