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A woman makes long-distance calls with the help of her cell phone according to a Poisson process with rate λ. Suppose that for each long-distance call billed, the next call is free and that we fix the origin at the moment when a call has just been billed. Let N(t) be the number of calls billed in the interval (0,t].
This Case Study problem is basically a prediction problem and we have to use Supervised Learning Algorithms of Machine Learning . Here we are given some input data with some multiple inputs and a output and we have to predict the output. It is basica..
a company produces packets of soap powder labeled giant size 32 ounces. the actual weight of soap powder in such a box
One of the ways to meet this requirement is to improve the current service rate. But he does not know how much to do it. What would be the new service rate to meet his 5 minutes or less waiting time?
a survey found that americans generate an average of 19.8 pounds of glass garbage each year. assume the standard
In each sample, the proportion of people who voted in the last election is recorded. What can be concluded about the shape of the distribution of those sample proportions?
The probability that a given alternator will fail on a 1-hour flight is .02. What is the probability that (a) both will fail? (d) Neither will fail? (c) One or the other will fail? Show all steps carefully.
Using the .05 level, do the results support the researcher's theory? (a) Use the steps of hypothesis testing, (b) sketch the distributions involved.
Interaction Effect Assume that two-way analysis of variance reveals that there is a significant effect from an interaction between two factors. Why should we not proceed to test the effect from the row factor?
Build regression models for predicting house prices. We will be using data collected on 91 houses in Gainesville, Florida. The dataset contains the selling price of each house and information on four other explanatory variables.
Multiple choice questions based on regression - A regression and correlation analysis resulted in the following information
In order to run a linear regression, the following assumption(s) have to be met:
Joe thinks that no more than 20% of students in his Statistics class will get an A in the final examination. To prove his claim, he takes a random sample of 35 students and finds to his surprise that 30% of students got an A.
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