The more statistically significant a finding, the less likely it is to be explained away by extraneous variables or design flaws.
A. True
B. False
This statement is True. The more statistically significant a finding, the less likely it is to be explained away by extraneous variables or design flaws.
The more statistically significant a finding, the less likely it is to be explained away by...
D Question 7 2 pts Only coefficients with a large standard error can be statistically significant. True False D Question 8 1 pts If you estimate a regression model and the R-square is 0.50, how much of the variation in the dependent variable is explained by the independent variables O 10% O 25% 50% О 100%
Question 32 People whose parents have divorced are statistically more likely to divorce themselves. True False
By replicating a study and finding significant results again, we can be more confident that the results are indeed significant. False True
(True or False) Endogeneity most of the times is caused when important (statistically significant) variables are omitted in the regression model.
Could you find a regression equation that would be acceptable as a statistically significant and yet offer no acceptable interpretational value to management? Detail the variables associated with the regression equation and explain how it is statistically significant. **I have come to the conclusion that yes, it is possible. But i am having trouble finding a data set to relate this to in addition to detailing the variables associated with the regression equation. Thanks!
Could you find a regression equation that would be acceptable as a statistically significant and yet offer no acceptable interpretational value to management? Detail the variables associated with the regression equation and explain how it is statistically significant. **I have come to the conclusion that yes, it is possible. But i am having trouble finding a data set to relate this to in addition to detailing the variables associated with the regression equation. Thanks!
Could you find a regression equation that would be acceptable as a statistically significant and yet offer no acceptable interpretational value to management? Detail the variables associated with the regression equation and explain how it is statistically significant. **I have come to the conclusion that yes, it is possible. But i am having trouble finding a data set to relate this to in addition to detailing the variables associated with the regression equation. Thanks!
Could you find a regression equation that would be acceptable as a statistically significant and yet offer no acceptable interpretational value to management? Detail the variables associated with the regression equation and explain how it is statistically significant. **I have come to the conclusion that yes, it is possible. But i am having trouble finding a data set to relate this to in addition to detailing the variables associated with the regression equation. Thanks!
Rejecting the null hypothesis can tell a researcher that a finding is statistically significant (for example, say there is a significant difference between students in our class and students in general) -- but this doesn’t tell us how extreme the difference really is (just that there is one). What statistical metric tells us how extreme a result is? (Or, in other words, the extent to which two population distributions do not overlap)? A. Effect size / Cohen’s D B. The...
a) A result is statistically significant if it is unlikely to occur by random chance alone. true or false b) If a result is NOT statistically significant, that means the chance model must be true. true or false c) there are always two possible explanations for the statistics obtained from a sample. Select the two possible explanations below. Generalizability Something is going on Random chance Sampling bias d) what does the researcher's question, or what the researcher thinks is true, determine?...