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1. A marketing firm recently studied the number of times men and women who live alone that buy takeout dinners in a month. Two independent samples were taken one with 50 men and 55 women. The mean is 34.51 for men with a standard deviation of 3.48 and a mean of 29.44 with a standard deviation of 2.86. Conduct a two tailed hypothesis test at a significance level of .05 to see if the two means are different.
2. The director of human resources at a large firm is comparing the distance traveled to work by employees in their office in downtown Atlanta with the distance for those in the downtown Jacksonville office. A sample of 21 Atlanta employees showed they travel a mean of 452 miles per month, with a sample standard deviation of 39 miles. A sample of 18 Jacksonville employees showed they travel a mean of 399 miles per month, with a sample standard deviation of 33 miles. At the 0.05 level of significance is there a difference in the mean number of miles traveled between the two groups?
Estimated the probability that among 75 randomly selected students, at least 20 of them score greater than 78.
In 2010, the average age of students at UTC was 22 with a standard deviation of 3.96. In 2013, the average age was 24 with a standard deviation of 4.08. In which year do the ages show a more dispersed distribution? Show your complete work and supp..
What does null hypothesis for repeated-measures hypothesis test state?
The standard deviation of is usually called the A. randomized standard error B. standard error of the sample C. standard error of the population D. standard error of the mean
Consider the case where we have n observations, sampled from a binomial pdf (our parameter estimator can therefore be given by X/n). Assume that the margin of error is 6%.
A regression model between sales (Y in $1,000), unit price (X 1 in dollars) and television advertisement (X 2 in dollars) resulted in the following function: = 7 - 3X1 + 5X 2 For this model SSR = 3500, SSE = 1500, and the sample size is 18...
A Manager needs to decide between two machines to put into market following a Weibull distribution. Machine X test unit cost $3000 with beta=3 and theta=500 Machine Y test unit cost $2000 with beta=3 and theta=400
I survey 50 potential consumers regarding their interest in the product, 34 express an interest in purchasing it. The maximum price each would be willing to pay is shown below.
How do we decide if the homogeneity of variance assumption is significantly violated?
Of those customers using extra unleaded or premium gas, 60% fill their tanks. What is the probability that the next customer fills the tank?
Is there sufficient evidence to support the claim that site has an effect on the amount of pesticide?
Can we conclude that the mean age of the population from which the sample may be presumed to have been drawn is less than 60 years? Let α = .05
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