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Of the households in the U.S, 18 million or 17% have 3 or more vehicles. If two U.S households are randomly selected, find the probability that both will have three or more vehicles.
The example that I created last week was forecasting customer demand for foreign sheets of commercial grade printing paper.
We want to do a normal approximation to the binomial distribution of the number of employees who leave each year. What is the probability that fewer than 100 employees will leave the company?
At the alpha equals .10 level of significance, can the firm conclude that Chicago households buy more online than Milwaukee. Do a formal Hypothesis test. (all 7 steps) Interpret the meaning of p val
When those 15 valuse are added, then didvided by 15, the result is $29,143.11. Is $29,143.11 the average per captia income for all individuals in the 15 states? Why?
Suppose we analyzed the effect of grade point averages on grades in a specific class and found the results to have an R-aquared value of 0.53. What do we know? Are there other factor, neith or fifty
Assume you have the following data: H1: µ ? 200, S =30, n = 64, and X =218. Conduct a two tailed hypothesis test at the 0.05 significance level.
Find the probability that 11 or more have never been a victim of a violent crime. Does it seem reasonable that 11 or more have never been victims of violent crimes?
Given that Z is a standard normal random variable, what is the value of Z to the left of Z = 0.0559?
If 100 random samples of size n were drawn and, if, for each, a 99% confidence interval for μ was computed, then exactly 99 of these confidence intervals would contain the true population me
A random sample of mens soccer shoes from an international catalog had the following weights (in ounces). At a=0.05 can it be concluded that the average weight is less than 10 ounces?
If 22 tickets are sold and 2 prizes are to be awarded, find the probablilty that one person will win two prizes if that person buys 2 tickets.
If the distribution of the measure of a random variable IS NOT a normal distribution, what implications might that fact have for the study? 200 words.
Explain how the concept of statistical independence might be applicable here. How would the airline decide whether, say, expenditure of $100,000 would be justified for a backup system to prevent
Compute the p-value corresponding to the value of the calculated test statistics from Show the Numeric Expression used and comment on the p-value.
To test the effect of sample size in a normal distribution with μ=100 and σ=12, determine the probability of finding Xbar=95 or lower with N=4.
In about 250 words, describe how linear regression analysis could be used in your organisation or any organisation that you are familiar with.
Based on the analysis of the regression model in Question 2, and by making reference to the assumptions of the model where appropriate, discuss your observations and highlight three (3) possible st
To gain a better insight into the price of properties in the US, fit a multiple regression using ‘Price' as the dependent variable ‘Price'. Your submission should include the following:
If the probability of success is 1/100, how many trials are necessary in order that probability of at least one success is greater than 1/2?
Given that 10% of all people are left-handed, what is the probability that there will be at least 3 left-handed students in a class of 15?
Conduct a hypothesis test to determine whether the whisper number justifies a conclusion of a statistically significant increase in the consensus estimate of economists. Use a = .01 as the level of
A researcher uses a repeated-measures study to compare two treatment conditions with a set of 20 scores in each treatment. What would be the value of df for the repeated-measures t statistic?
a) What kind of statistic should you use to test this hypothesis? b) Write the set of hypotheses you would use to test this hypothesis.
Calculate the correlation coefficient. Perform a hypothesis test to determine if there is a significant correlation (α =0.05) between number of hours of overtime worked and hours of sleep.