Answer:
Full answer is in the media.Good luck.
Answer:
A) 2 5/12
Step-by-step explanation:
The word <u>MORE </u>refers to subtraction. If you know how to calculate fractions. Great! You should know what 2 3/4 - 1/3 equals. But if you do not:
You can use a regular calculator. Just convert everything to decimals. ( "/" means divide)
3/4 (3÷4) = 0.75 (dont forget the 2 since is has 2 3/4) so 2.75.
1/3 (1÷3) = 0.33<u>3 </u>(underline or overline (above the number) means that number repeats. if you are using a calculator. just max the numbers out till you can put it anymore.
2.75 - 0.<u>3</u> = 2.41<u>6</u>. Now you dont know what that 416 is so just subtract the answers until it matches.
B) 1 ÷ 12 = 0.8<u>3. </u> well it isnt 416 so that isnt right.
4 ÷ 7 = 0.571... (... means a bunch of numbers that go on and on.) again that isnt correct. Now lets try A):
5 ÷ 12 = 0.41<u>6</u>!
Hope this helps!
~R3VO
Answer:
here's what I got from wikipedia (i dont like taking of other's brain skills :/ )
Step-by-step explanation:
<em>1:12 scale is a traditional scale (ratio) for models and miniatures, in which 12 units (such as inches or centimeters) on the original is represented by one unit on the model. Depending on application, the scale is also called one-inch scale (since 1 inch equals 1 foot)</em>
<em>hope this helps you :)</em>
Answer:
Step-by-step explanation:
Assuming this complete question:
"Suppose a certain species of fawns between 1 and 5 months old have a body weight that is approximately normally distributed with mean 
kilograms and standard deviation 
kilograms. Let x be the weight of a fawn in kilograms. Convert the following z interval to a x interval.
"
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 weights of a population, and for this case we know the distribution for X is given by:
Where 
and
And the best way to solve this problem is using the normal standard distribution and the z score given by:
We know that the Z scale and the normal distribution are equivalent since the Z scales is a linear transformation of the normal distribution.
We can convert the corresponding z score for x=42.6 like this:
So then the corresponding z scale would be:
To complete the square you halve the coefficient of the x term and square it. Half of 14 is 7 and 7² is 49. So we add 49 and subtract 49, which means we are not changing the value of the quadratic. So we have x²+14x+49-49+2. This can be written: (x²+14x+49)-49+2, which is (x+7)²-47, which is answer a.
