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Phone calls arrive at an average rate of 25 per hour at the Information Technology Help Desk of a large organization during normal office hours. Use appropriate Excel functions to solve the following questions: Compute the probability of receiving four calls in a five-minute interval of time.
Find the values of the correlation coefficient and the coefficient of determination. Find the slope, y-intercept, and equation of the regression line for the data. Plot the points and a graph of the regression line on the same axes.
The ages of cars owned by all employees of a large company have a bell shaped distribution with a mean of 8 years and a standard deviation of 2 years. Using the empirical rule, find the approx. percentage of cars (owned by those employees) that are b..
Using convolution, determine the pdf of a continuous random variable Z where Z = X + Y. Here, X has a uniform distribution on [0, 3] and Y is a constant of value 2. Assume that X and Y are independent.
The probability of a bulb lasting less than 2300 is .1573. The maximum probability of a bulb lasting less than 2300 hours should be only 5%. What must change specifically? How would that change be obtained practically?
Assume we have a population of scores with a mean of 975 and a standard deviation of 15. Assume that the distribution is normal. Provide answers to the following questions:
Cables is selected and tested find the sample mean that will cut off the upper 95% of all the sample of 20 taken from the population. Assume the variable is normally distributed.
An orange juice producer buys all their oranges from one particular orchard. The amount of juice from the oranges is approximately normally distributed with a mean of 152 ml. and a standard deviation of 41 ml.
Calculate the expected value and standard deviation of the value.
You decide to predict gasoline prices in different cities and towns in the U.S. for your term project. Your dependent variable is price of gasoline per gallon and your explanatory variables are per capita income
A financial analyst wants to compare the turnover rates, I percent, for shares of oil-related stocks versus other stocks, such as GE and IBM. She selected 32 oil related stocks and 49 other stocks.
Suppose that population has normal distribution. Determine a 95 percent confidence interval for population standard deviation sigma.
Each candy in a paper cup and then obtaining the weight without accounting for the weight of the cup. How can this as a random error and systematic error?
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