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Electric utility customer service representative answers a call is 210 seconds. The Gigantic Kilowatt Energy Company randomly sampled 30 calls and found that, on average, they were answered in 183 seconds with a population standard deviation of 30 seconds. Can the company claim that they are faster than the average utility at α = 0.05?
Descriptive statistics for given data - Evaluate the range, variance, and standard deviation of the data set. Interpret the results in the context of the real-life setting.
Find the probability of getting a head and rolling a six
What are the assumptions of regression analysis and how do you evaluate them?
According to Chebyshev's theorem, proportion of values from data set that is further than 2 standard deviations from the mean is at most?
Calculate the mean absolute deviation based on the 2-day moving average. You can have a forecast and an actual temperature.
Security B has an expected return of 12 percent, a standard deviation of returns of 10 percent, a correlation with the market of 0.7 and a beta coefficient of 1.0.
Assume rf is 5% and rm is 10%. According to the SML and CAPM, an asset with a beta of -2.0 has a required return of negative 5%[=5-2(10-5)]. Can this be possoble?
Parents collected a simple random sample of the times that 81 college students required to earn their bachelor's degrees. The sample has a mean of 4.8 years and a standard deviation of 2.2 years. Use a 0.05 significance level to test the claim tha..
What information is provided by the numeral value of the Pearson correlation? What is the major distinction between the Pearson and Spear man correlations?
Add line-of-best fit (trend line/linear regression line) to your scatterplot. Write down the equation of the trend line below.
The random variable x is known to be uniformly distributed between 70 and 90. The probability of x having a value between 80 to 95 is
Find the critical values and identify the rejection regions. Calculate d and sd. Use the t-test to find the standardized test statistic t. decide whether to reject or fail to reject the null hypothesis.
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