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A university is comparing the hourly wages of students who completed a Master's Degree to students who only completed a Bachelor's Degree. Of the students surveyed, 72 had a Master's degree and 74 had a Bachelor's Degree only. The average hourly rate for those with a Master's was $45.496 (SD = $3.693). Among the graduates with a Bachelor's degree, the average hourly rate was $29.237 (SD = $7.194). If a 99% confidence interval is calculated to estimate the difference between the average hourly rates for each type of graduate, what is the margin of error? Assume both population standard deviations are equal.
1) 2.61
2) 0.95
3) 2.235
4) 2.447
5) 2.479
In ANOVA, which of the following is not affected by whether or not the population means are equal?
Construct an appropriate control chart and comment on the process.
How large a sample should be taken if the desired margin of error is?
Results from survey of 1000 respondents, point out that 545 favour the dealth penalty for capital crimes. By using a90% confidence level. Create confidence interval estimate for population proportion.
Determine the mode for this distribution. Describe why you can't calculate the mean number of times using data in the table.
A recent study of the Greater Los Angeles Taxi Driver Association demonstrated that the average or media tariff that they charge from Hermosa Beach to the International Airport of Los Angeles is $18.00
For each of the following problems, assume that the homogeneity of variance assumption has not been met and that you will need to use the adjusted Welch statistic.
At 5% level of significance, is there evidence of difference in mean life of bulbs made by the 2 kinds of machines. What is your conclusion?
Compute b1, slope of an OLS regression line using dollars spent as dependent variable (Y) and age as independent variable (X).
Suppose the random variable X is normally distributed with mean =50 and standard deviation =7 calculate P(X).
Two independent samples of sizes 16 and 26 were taken. In a test of equality of population means of the two samples, how many degrees of freedom are associated with the critical t-value?
Impact on sampling of increasing sample size is: The potential for extreme sampling error is reduced.
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