3 of anything is almost always less than 5 of the same thing.
That's true for cows, rocks, trees, fish, salt-shakers, and babies.
I can't think of any object where it wouldn't be true.
Why wouldn't it be true for tenths ?
Let me say it another way:
No. 3/10 is <em>less than</em> 5/10 .
Answer:
A- 2<h<3 B- 2.2
Step-by-step explanation:
when you make a dot plot, the median is 11. using that dot plot, you can approximate a mean to be around 2
Answer:
1310.4
Step-by-step explanation:
26 x 12= 312 x 4.2= 1310.4
Answer:
The probability that your friend had sprinkles given that he had chocolate 
is approximately 0.357 or 0.36 if you round it to 2 decimals.
Step-by-step explanation:
Let's define the following events:
C = "Your friends like chocolate flavor"
S = "Your friends like sprinkles topping"
We also know that 
, 
and 
. We are interested in the probability of given that your friend had chocalate what is the probability that he also likes sprinkles, in other words we want 
. Note that,
1) The probability that Kevin has diabetes and the test predicts opposite to be true = Probability Kevin has diabetes x Probability that test predicts opposite to be true.
Probability that Kevin has diabetes = 0.75
Probability that test predicts opposite to be true (i.e test predicts he doesn't have diabetes) = 0.15
So,
The probability that Kevin has diabetes and the test predicts opposite to be true = 0.75 x 0.15 = 0.1125
2) The probability that Kevin does not have diabetes and the test predicts this correctly = Probability Kevin does not diabetes x Probability that test predicts this correctly.
Probability that Kevin does not have diabetes = 0.25
Probability that test predicts this correctly (i.e. test predicts he does not have diabetes) = 0.85
So,
The probability that Kevin does not have diabetes and the test predicts this correctly = 0.25 x 0.85 = 0.2125
3) The probability that Kevin does not have diabetes and the test predicts the has diabetes = Probability Kevin does not diabetes x Probability that test predicts he has diabetes.
Probability that Kevin does not have diabetes = 0.25
Probability that test predicts has has diabetes = 0.15
So,
The probability that Kevin does not have diabetes and the test predicts the has diabetes = 0.25 x 0.15 = 0.0375
