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A statistics professor planed her classes so carefully that the lengths of her classes are uniformly distributed between 45 and 55 minutes. Find the probability that a given class period runs greater than 50.25 minutes.
What will be critical value of chi-square if test is to be performed at 0.025 level? At the 0.05 level?
If the test contains 250 questions, what is the probability that Julie will score 75% or lower? (Use the normal approximation to the sampling distribution to solve this problem.)
Given that we have collected pairs of observations on two variables X and Y , we would consider fitting a straight line with X as an explanatory variable if:
Develop a decision tree for the case of a company operating at full capacity and with product demand rising. The choice is between new equipment and overtime.
Use differential calculus to find both sales volume at which revenue is maximised and the maximum revenue available from sales of product X.
Is there evidence of violations of the usual ANOVA assumptions of equal variances and normal populations? Set up and perform appropriate TESTS at the α = 0.05 level of significance.
Let X be a random variable with probability density distribution given by. Find the probability density function of Y=10X - 4.
Generate survival times X from an exponential distribution with rate lambda=1 with a censoring distribution C being exponential with rate theta = 2/3. Then Plot Kaplan-Meier Survival curve estimates along with true survival curve for n=25,100,1000..
Suppose that a researcher does a study to see how level of anxiety (A 1 = low, A 2 = medium, A 3 = high) is used to predict exam performance (Y).
At the .05 significance level, can we conclude that the guideline is still reasonable?
To test whether there is significant mean difference between two groups using independent sample t test.
An analyst thinks that the economic conditions during the next year will either be Strong, Normal or Weak and she thinks that the Simpson Company's returns will have the following probability distribution.
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