Answer:
Step-by-step explanation:
Given that for a biology project, you measure the weight in grams and the tail length in millimeters of a group of mice.
The correlation is r = 0.9
If you had measured tail length in centimeters instead of millimeters, what would be the correlation?
For this we must understand the meaning of correlation and formula
Correlation is a measure of linear association between the two variables and always lie between -1 and 1
This is got by dividing covariance of (x,y) by product of std deviation of x and y
So because we changed the units of length correlation coefficient would not change.
It would remain the same as 0.90
Short answer: 375 grams
Remark
You only need to set up a direct proportion
Givens
flour for 12 cakes = 150 grams
Number of cakes initially = 12
Amount of flouer for 30 cakes = x
Number of cakes = 30
Proportion
amount flour for 12 cakes / 12 cakes = x / 30
Sub and solve
150 grams / 12 cakes = x / 30 cakes Cross multiply
150 * 30 = 12 *x Multiply the left side.
4500 = 12 x Divide both sides by 12
4500/12 = x
375 grams for 30 cakes. <<<<< Answer
66.5cm
Split the shape into a square and triangle and find the area separately
Square: 8*7=57
Triangle: 7*3/2 = 10.5
=66.5
(45 gal/day) x (31 day/Dec) =
(45 x 31) (gal/Dec) = <em>1395 gallons</em> per December .
Choice-B is closer to that figure than Choice-A is,
but they're both poor estimates.
Answer:
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the scores of a population, and for this case we know the distribution for X is given by:
Where
and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the normal standard table or excel and we got: