Answer:
We know that the total area under the normal curve is 100%. According to the empirical rule of Normal distribution:
Approximately, 68% of data lies within
standard deviations of mean.
Approximately, 95% of data lies within
standard deviations of mean.
Approximately, 99.7% of data lies with
standard deviations of mean,
Therefore, in a normal curve, roughly 95% of all cases fall within plus or minus two standard deviations.
Answer:
A. Wage=βo +β1, Female + u, where Female (=1 if female) is an indicator variable and u the error term.
Wage = dependent variable
FP = Independent variable.
Step-by-step explanation:
The model selected model shows the relationship between the wages earned by male and female gender based on earnings of the two gender groups.
Wage is the dependent variable while factors upong which their wage depends on will be adopted as the independent variable. Since gender is categorical and cannot be used in that form during regression analysis. The it can be converted into a dummy or encoded variable. Such as treating female as = 1.
Answer: 20
Step-by-step explanation:
since i helped can i have brainlist please :D
Answer:
4 is the answer.
Step-by-step explanation:
It is the answer because one of your numbers has a (-) sign. So you take
12-(-)8= 4 a positive 4 because 12 is not a negative