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The standard deviations of heights of plants are known to be 2 cms. Eight randomly selected plants have heights 172, 156, 154, 163, 170, 169, 170 and 164 cms. Test whether the sample standard deviation differs significantly?
Use Chebyshev's theorem to find what percent of the values will fall between 120 and 150 for a data set with mean of 135 and standard deviation of 7.5.
The other measurement is below 10, i.e. where high measurements tend to cancel low measurements. Use these possibilities to compute the distribution of when n = 2(i.e., find , , etc.).
Evaluate the mean, the median, and the mode of the salaries. Which best describes a typical salary and Evaluate the range, variance, and standard deviation of the data set. Interpret the results in the context of the real-life setting.
With a 98% level of confidence a company producing street signs wants to make sure the length of their product is meeting quality standards.
The project requires you forecast the historical data, replicating the appropriate trends, seasonalities, week-over-week variability, etc. Please refer to the chapter and materials on Forecasting for the procedures to do.
At the .01 level of significance, is the true mean greater than 10?
Probability of two mutually exclusive events intersecting Can be any value between 0 to 1, Must always be equal to 1.
NCAA Football Coach Salaries: Given below are annual salaries for simple random sample of NCAA football coaches (Based on data from USA). How do mean and median change if highest salary is omitted?
Revenue and cost functions for producing and selling quantity x for certain production facility are given below. Find out profit function P(x).
Provide an example of two of the laws of exponents. Explain how to simplify them. Tell how do the laws work with rational exponents and then provide a third example to simplify that includes a rational (fractional) exponent.
The length of a Colorado brook trout is normally distributed. What is the probability that a brook trout's length:
A survey dating back to the 1990's suggested that Americans anticipated a reduction in living standards and that a steadily increasing consumption no longer might be as important as it was in the past. (Were they right?)
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