Answer:
umm?
Step-by-step explanation:
You just uhh explained the pythagorean theorem formula

but what's the question?
Answer:
Option B) 0.2143
Step-by-step explanation:
We are given the following in the question:
Numbers of exposures(x): 4,3,7
We have to find the maximum likelihood estimate of p.
Formula:

Putting the values, we get,

Thus, the correct answer is
Option B) 0.2143
Answer:
C
Step-by-step explanation:
Δ AQP and Δ ACB are similar triangles, thus the ratios of corresponding sides are equal, that is
=
( note that AC = 3 + 6 = 9 ), substitute values
=
( cross- multiply )
3BC = 40.5 ( divide both sides by 3 )
BC = 13,5 cm → C
Answer:
See answer below
Step-by-step explanation:
In inductive reasoning we arrive to a general conclusion based on particular observations.
For example:
<em>"My friends Peter and Mary study at XYZ University. Peter and Mary are brilliant.
</em>
<em>Yesterday I met Joe in a party. Joe also studies at XYZ University and he happens to be brilliant, too.
</em>
<em>I conclude that all the students of XYZ University are brilliant"
</em>
Notice that this kind of reasoning might lead to a false conclusion.
In deductive reasoning, we arrive to a particular conclusion based on general observations. So, deductive reasoning is the opposite of inductive reasoning.
An example of deductive reasoning could be the following:
<em>"To be accepted in the XYZ University you must pass a test with a score greater than 70%.
</em>
<em>My friend Peter studies at XYZ University, so he passed the test with a score greater than 70%"
</em>
In deductive reasoning you may arrive to a false conclusion if your general assumption is false.
Answer:

Step-by-step explanation:
Given that:
The number of observations is:
6, 10, 12
If we are to use a simple random sampling without replacement, then we will have:
(6,10) (6,12) (10,12)
Here;
the sample size n = 2
The population size N = 3
For (6,10) ; The sample mean = 
= 
= 8
For (6,12) ; The sample mean = 
= 
= 9
For (10, 12) ; The sample mean = 
= 
= 11
The probability distribution of sample mean(x) is:
X 8 9 11
P(X=x)

Thus, the probability that the sample mean is larger than 8 is:
P(X> 8) = P(X = 9) + P(X + 11)
P(X> 8) = 
P(X > 8) = 
P(X> 8) = 