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The probability of getting a big order currently under negotiation is 0.4. The probability of losing money this quarter is 0.5.
a. Assuming that these are mutually exclusive events. Find the probability of getting the order or losing money.
b. Assuming that these are mutually exclusive events.Does this rule out the possibility that you fail to get the order and make money this quarter?
c. Now assume instead that the events "get the order" and "lose money" are independent (since the order will not show up in this quarter's financial statements). Find the probability of getting the order and losing the money.
d. Now assume instead that the probability of getting the order and losing the money is 0.1. Are the events "get the order" and "lose money" independent? How do you know?
A study of 40 bowlers showed that there average score was 186 the standard deviation of the population is 6. Find the 95% confidence interval of the mean score for all bowlers.
Given the following frequency distribution, find out the mean, variance, and standard deviation.
Interpreting confidence interval for the P-value. Give an appropriated response. A weight loss center provided a loss for 72% of its participants.
Determine the estimated mean of the following frequency distribution. A sample of the amounts paid for parking on Saturday at the Downtown Parking Garage in Toronto was organized into the following frequency distribution.
What is the probability of getting a number less than 5 on both?
The following regression equation and correlation coefficient were calculated using minitab for the bivariate data age of men and their weight.
A psychologist wants to determine if there is a linear relationship between the number of hours a person goes without sleep and the number of mistakes he/she makes on a simple test. The following data is recorded. Determine the regression line equ..
The sample proportion of large gloves for each location is and . (Round your answers to 4 decimal places.)
Suppose today's sample yielded a mean of $4.19 and a standard deviation of $0.10, create and interpret a 99% confidence interval for the population standard deviation. Assume the distribution of gas prices in the area follows a normal distribution..
What descriptive summary measures would you use to present the data. which measure is the best to use and which is the worse and why?
Use these statistics to construct a 94% confidence interval for the mean monthly consumption for the population of all Ontario households.
What is the possibility that for a arbitrarily selected customer the service time could exceed 3 minutes?
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