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Find some conditional probabilities
Choose a point at random in the square with sides 0 ≤ x ≤ 1 and 0 ≤ y ≤ 1. This means that the probability that the point falls in any region within the square is the area of that region. Let X be the x coordinate and Y the y coordinate of the point chosen. Find the conditional probability P(Y 1/2 | Y > X). (Hint: Sketch the square and the events Y 1/2 and Y > X.)
Develop one research question from which you will formulate a research hypothesis - prepare a two to four page paper describing the results of a hypothesis test of one or two population means or population proportions.
question 1in a study of distances travelled by buses before the first major engine failure a sampling of 191 buses
Let us speek where the preceding data are representative of the entire sector of retail sales companiesSuppose the annual profits are more than 6.5 thousand $ every employee.
Uising a level of significance of .10, is there evidence that the population mean weight of the hats is greater than 3.5 pounds?
a normal distribution has a mean of 45 and an unknown standard deviation. which random variable value below could
Of all 3 - 5 year old children, 71% are enrolled in school. If a sample of 400 children are randomly selected, what is the probability that at least 300 will be enrolled in school.
What types of sources of capital can be employed in a transaction? Pick a single source of capital and describe why/under what circumstance you would use this type source.
tim gets 15 emails on average per day i.e. per 24 hours. emails arrive randomly and independently.a what is probability
Make a scatter diagram for the data, using Sales for the independent variable and Net Profit for the dependent variable. Insert the trend line and add the equation and R2 value to the diagram.
Computing the probability values using normal distribution - Evaluate the percentage of homes that generate between 27 and 31 pounds of recycling per month.
Find the regression equation and percentage of variance and test whether the equation is significant portion of the variance.
Solve the linear programming model by using the computer. Identify the sensitivity ranges for the objective function coefficients and explain what the upper and lower limits are.
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