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Post-hoc fallacy is that condition where regression shows a high degree of correlation (R square is high), but there is no real cause-effect relationship between the independent and dependent variables. For example, when the rooster crows each morning, the sun pops up every time (even if we can't see it). R square would be 1.00 in this case, but does that mean the rooster's crow actually caused the sun to rise? Clearly not, that would be post-hoc fallacy to conclude otherwise...there is no real cause and effect.
After doing a regression analysis on two sets of data, how would you go about ensuring that you have not fallen into the post-hoc fallacy trap?
How would you explain post-hoc fallacy to your boss or CO, who has no statistical background?
What descriptive summary measures would you use to present the data. which measure is the best to use and which is the worse and why?
The simple coefficient of determination is the proportion of total variation explained by the regression line.
Data is given in the table below. Process data as illustrate in the paper on the Mann-Whitney U test. Critical Value:Test Statistic (Show procedure.)Z .
Determine a 95% confidence interval for the population mean.
A frequency polygon: does not depend on one variable. True-False
Critically discuss how you can apply the concept and method of interval estimation to help you solve some of the problems in a regularly accounting department. Give a few examples.
A school administrator randomly selects 12 classes from your school and then selects all of the students of those classes to study a school library issue. Which type of sampling design is being used.
Plot the data on U.S. general aviation shipments (b) Describe the patterns and discuss possible causes.(c) Would a fitted trend be helpful? Explain. (d) Make a similar graph for 1992-2003 only.
Can we conclude from this that most workers there earn between $25 and $35 per hour? Is this the right interpretation for the margin of error?
A GSS asked. "What do you think is the ideal number of children for a family to have? the 497 female who responded had a median of 2, mean of 3.02 and standard deviation of 1.81 (a) Report the point estimate of the population mean.
Can we conclude a difference in voting patterns for men vs. women? YES or NO (circle one)
Determine the following probabilities: Events A and B are mutually exclusive events defined on common sample space.
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