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Lets say a business has account receivables per customer of $60.54. There was a random sampling of 19 accounts that revealed a sample mean of $73.55 and a sample standard deviation of $19.29.
To compute the null hypothesis, I would have to test to see if $60.54 (null hypothesis) has changed. Is this correct?
you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. What is the value of your pooled proportion?
The trial failed to show significance. How many subjects would be required to detect the difference in proportions observed in the trial with 80% power?
The researcher in exercise decides to conduct the same study using a within - participates design to control for differences in cognitive ability.
nterpret the meaning of the y-intercept, b(0), and the slope, b(1), in this problem. Use the prediction line developed in (a) to predict the GPA for a student a GMAT score of 600
With 95% confidence, what is the margin of error (to 2 decimals)? What is the 95% confidence interval estimate of the population mean?
What is correlation? Does correlation directly support causation, what are both sides of the argument?
When testing for a difference between the means of a treatment and a placebo group, the computer display below is obtained. using a 0.05 significance level, is there sufficient evidence to support the claim that the treatment group (variable 1) co..
A delivery truck averages 15 miles per gallon, with a standard deviation of 3 miles per gallon, and that fuel consumption is Normally Distributed.
In as sample of 855 bartenders, 48% report hearing complaints from patrons about their jobs. If the maximum error of estimate for the proportion of bartenders hearing job complaints is 4.4 percentage points, what is the degree of confidence used?
Use SPSS to make a scatterplot between stress and coping, and then add the fitted regression line to the plot. Mark both intercept and slope on the plot (You may consider to change the default X scale in SPSS)
The first unit produced after the calibration effort to be found to be defective. What is the probability that machine is in adjustment?
What is the appropriate inferential statistical test for the case scenario? Why?
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