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Continuous Distributions
The continuous random variables make up the continuous distribution but what I don't understand is how does the continuous random variables under the curve or within the distribution equate to 1? That just doesn't make sense to me. If a person is 6 feet tall and the continuous distribution represents all of the measurements from birth to his/her current height, how do these continuous variables equal 1?
Particular cookie will have fewer than 5. What type of probability distribution will most likely be used to analyze the number of chocolate chips per cookie?
the distribution of iowa test vocabulary scores for seventh grade students in gary indiana is approximately normal with
What is the probability that there will be no missing pieces in the package - What is the probability that each will have no more than one missing piece
Compute the sample variance and sample standard deviation as a measure of volatility of monthly total return for Chevron (to 2 decimals): Sample variance and Sample standard deviation.
Determine the probability that of a Type I error using decision rule if population mean is in fact 800 kilowatts per day?
If a student studies for 15 hours, what score should the student expect on the next. What percent of the variation in the points earned on the exam is explained by the number of hours the student studies?
Parametric tests (such as t or ANOVA) differ from nonparametric tests (such as chi-square) primarily in terms of the assumptions they require and the data they use. Explain these differences.
A newspaper article discussed the opening of a Whole Foods Market in the Time=Warner building in NYC. What assumption is necessary about the population distribution in order to perform the test
suppose that you were trying to determine if the population proportion of americans that currently believe that nuclear
a) Create a probability model for the amount you win at this game. b) Find the expected amount you'll win.
What percentage of adults do not conduct their banking online? What type of probability is the 25% mentioned above?
Imagine yourself a manager with a 54-year-old salesperson who consistently had poor performance for the past two years.
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