Answer:
50 km
Step-by-step explanation:
So the map has a scale of 1 cm: 20 km. Next, you look at how far they are apart and see if the scale and the distance on the map are the same measurement. In this case, they are both centimeters so they stay the same. Then, all you do is multiple the real size, 20 km, by
2.5
1
. Then, 20 x 2.5=50. So the answer is 50 km
Answer:
101
Step-by-step explanation:
Given the expression:
2016 · 199 = 2016·? +2016 · 98
We could rewrite the expression such that the missing value equals x
2016 * 199 = 2016 * x + 2016 * 98
Using BODMAS:
401184 = 2016x + 197568
401184 - 197568 = 2016x
203616 = 2016x
Divide both sides by 2016
203616 / 2016 = 2016x / 2016
101 = x
Hence, missing value is 101
Answer:

Step-by-step explanation:
we know that
<u><em>Combinations</em></u> are a way to calculate the total outcomes of an event where order of the outcomes does not matter.
To calculate combinations, we will use the formula

where
n represents the total number of items
r represents the number of items being chosen at a time.
In this problem

substitute

simplify



The greatest common factor of 10 is 10 and the least common factor of 15 is 15
Hope I helped!!!!!
Answer:
The probability that a person will get 17 or more right, if the person is truly guessing, is about 12.9%.
The p-value is the probability of obtaining the observed results of a test, assuming that the null hypothesis is correct.
Step-by-step explanation:
The system of hypothesis fo this case are:
Null hypothesis: 
Alternative hypothesis: 
That's a upper right tailed test.
The p-value is the probability of obtaining the observed results of a test, assuming that the null hypothesis is correct.
And this value allows to reject or not the null hypothesis.
If
we reject the null hypotheis at the significance level. That indicates strong evidence against the null hypothesis, so you reject the null hypothesis.
If
then we say that we fail to reject the null hypothesis at the significance level. That indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis.