A company has five branches and want to test if the mean employee's salaries are equal. A sample of 3 employees from each location was selected. You are given the ANOVA table below: Source of Sum of squares Degrees of Мean variation freedom square Treatments 36,648 В 9,162 Y Error A C Total 57,095 Find the degrees of freedom for the treatments, error and total variations Select one: O a. B = 5, C = 15, D = 20 O b. B= 4, C = 15, D = 19 OC.B 5,C = 10, D = 15 O d. B= 4, C = 10, D = 14
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
![A company has five branches and want to test if the mean employee's salaries are equal. A sample of
3 employees from each location was selected. You are given the ANOVA table below:
Source of
Sum of squares
Degrees of
Мean
variation
freedom
square
Treatments
36,648
В
9,162
Y
Error
A
C
X
Total
57,095
Find the degrees of freedom for the treatments, error and total variations
Select one:
O a. B = 5, C = 15, D = 20
b. B = 4, C = 15, D = 19
C. B = 5, C = 10, D= 15
Od. B = 4,0C = 10, D = 14
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