Answer:
Step-by-step explanation:
we know that
A relationship between two variables, x, and y, represent a proportional variation if it can be expressed in the form 
or 
In a proportional relationship the constant of proportionality k is equal to the slope m of the line and the line passes through the origin
Let
x -----> the number of hours worked
y ----> the amount paid in dollars
In this problem we have a proportional variation, between two variables, x, and y
<em>Find out the constant of proportionality k</em>
For (5,300) -----> 
----> 
For (4,240) -----> ----> 
For (6,360) -----> ----> 
The constant k is
The equation is equal to
The unit rate of change of dollars with respect to time is equal to the constant of proportionality or slope of the linear equation
therefore
This is because Andrea converted the Percentage wrong.
to Convert a Percent to a Decimal, she should have divided by 100
so 5 divided by 100 = 0.05 [not 0.5]
Andrea should have multiplied 300 by 0.05 instead to get the right answer
quickly finding 10% of a number means to simply move the decimal to the left one place
so 10% of 300 is 30
since 5% is half of 10%
half of 30 is 15
and so 5% of 300 is 15
For this you would do
Because 60% is the same as 0.60. And solving a problem like this is the opposite of finding a percent of a number. When you solve this you get 80. So there are 80 students in total.
Answer:
(E) The bias will decrease and the variance will decrease.
Step-by-step explanation:
Given that researchers working the mean weight of a random sample of 800 carry-on bags to e the airline.
We have to find out the effect of increasing the sample size on variance and bias.
We know as per central limit theorem, sample mean follows a normal distribution with mean = sample mean
and std deviation of sample mean = std error = 
Thus std error the square root of variance is inversely proportional to the square root of sample size.
Also whenever we increase sample size the chances of bias would decrease as the sample size becomes larger
So correct answer is both bias and variation will decrease.
(E) The bias will decrease and the variance will decrease.
