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Calculate the standard deviation of the data. For this calculation compute the difference between each one of the observations and the mean, (this number may be positive or negative), then multiply each of these differences by itself, then add all of these products, and finally divide the sum total by the number of observations. You'll get the "VARIANCE". Now take the square root of this number and you get what is called the "STANDARD DEVIATION" that measures the dispersion of the data from their mean.
Company A is hoping to expand its operations and a small group of investors is visiting next week. You are tasked with the duty of explaining how Company A uses this information from a linear programming model to optimize its shipping.
The Consumer Price Index (CPI) and the cost of a slice of pizza
Develop a stem-and-leaf chart. Summarize the number of times each ATM was used. What was the typical, minimum, and maximum number of times each ATM was used?
To find the probability values in case of raw data, binomial, normal
Steve Goodman, production foreman for the Florida Gold Fruit Company, estimates that the average sale of oranges is 4,700 and the standard deviation is 500 oranges. Sales follow a normal distribution.
Suppose 91% of all Australian households having a fax machine have a personal computer. A Australian household is randomly selected. What is the probability that the household has a fax machine and a personal computer?
Is there a significant difference the four testing conditions?
A chocolate bar is considered underweight if it weights less than 8.0 oz. How should the chocolate bar wrappers be labeled so that only 1% of such bars are underweight.
She predicts correctly on 16 tosses. What is the probability of being correct 16 or more times by guessing? Does this probability seem to verify her claim?
Calculate a 99% confidence interval for the true mean difference between pretreatment and after treatment testosterone levels of young male TBI patients.
Which binomial probabilities can be approximated by the normal probability distribution? Explain. c) what is the probability of between 100 and 110 successes? d) What is the probability of 130 or more successes?
What sample size would be needed to obtain an error of ±10 square millimeters with 99 percent confidence?
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