The equation in slope-intercept is y=0.625x+7.
y = mx + b
where:
m is the slope of the line
b is the y-intercept of the line
The slope m of the line through any two points (x1, y1) and (x2, y2) is given by:
The y-intercept b of the line is the value of y at the point where the line crosses the y axis. Since for point (x1, y1) we have y1 = mx1 + b, the y-intercept b can be calculated by:
b = y1 - mx<span>1. hope that helped</span>
The larger the number of simulations the more likely are the results to be closest to those predicted by the probability theory.
When large number of simulations are run, some results might be higher than the results of probability theory, some results might be lower than the results of the probability theory and some might be exactly the same. So the average of all these results will be close to the results of Probability Theory. Thus, more the number of simulations, greater is the chance that the results are closer to those of simulation theory.
Thus, option A will be the correct answer.
Answer:
C) Matched pairs
Step-by-step explanation:
Matched samples (also called matched pairs, paired samples or dependent samples) is a type of sampling that involves pairing participants that share every characteristic except for the one under study. The paired participants could be same individuals studied at different time such as:
- The study of same participants before and after an interference.
- The study of the same participants at two different interference.
Answer:
Correct!
Step-by-step explanation:
The final answer is 5.
Answer: Margin of Error = 1.944
Lower Bound = 3.052
Explanation:-
Attached below is a file for monthly Rate of return. Used an excel sheet to determine the confidence interval which seems relatively easier as compared to manual computation. The range below (A2:A40) shows the monthly
Functions used : Standard Deviation as= STDEV (A2:A40)
Sample Mean = AVERAGE(A2:A40)
Margin of Error = CONFIDENCE.T(D4,D5,D2)
Lower Bound Interval = D6-D7 = -3.052
