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An airline knows from experience that the distribution of the number of suitcases that get lost each week on a certain route is approximately normal with µ = 15.5 and meuw = 3.6. What is the probability that during a given week the airline will lose between 10 and 20 suitcases?
Solve the model by using graphical analysis.
Do you use probability in your profession or real life? You most likely do. For example, chance of rain tomorrow is 27%. We hear similar probabilities in the media all the time.
We assume that we have selected two independent random samples from populations having proportions p 1 and p 2 and that p-hat 1 = 800/1000 and p-hat 2 = 950/1000
Construct a distribution to represent the population such that the survey result above may be seen as a sample from the population.
What is the probability that the sample proportion of grocery stores selling Haagen-Dazs ice-cream, will be within 0.01 of the population proportion?
What proportion of sample means would be between 1.31 and 1.33 inches?
Critically discuss some reasons that business outputs vary? For example why does production output vary? Explain the difference between common causes of variation and special causes of variation.
Compute the value of the test statistic (to 2 decimals).
Three unrelated people go for dinner to a Chinese restaurant which uses MSG in its food. Each person has a 10% probability of developing an adverse reaction to the MSG.
Suppose x has a uniform probability distribution. Is the amount dispensed by the machine a discrete or a continuous random variable? Find the mean and standard deviation for the distribution.
the below two question must have a minimum 250 word count and use examples to support the solution. only use usa based
Synthesis and evaluate findings and present same in a professional manner to a varied audience
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