The following is the rest of the question:
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Mikey's results showed that although both mice gained weight over the
month, mouse 2 gained more weight than mouse 1.Which graph below best
shows these results?
The complete figure is attached
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Solution:
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Graph (1)⇒⇒⇒ mouse 2 has constant weight and mouse 1 gained weight
Graph (3)⇒⇒⇒ mouse 2 has did not gain weight and mouse 1 gained weight
∴ Graph (1) and (3) are incorrect because both mice gained weight .
Graph (4) is incorrect because mouse 2 gained more weight than mouse 1
So, the correct answer is graph (2)
Answer:
Below are the responses to the given question:
Step-by-step explanation:
Let X become the random marble variable & g have been any function.
Now.
For point a:
When X is discreet, the g(X) expectation is defined as follows
Then there will be a change of position.
E[g(X)] = X x∈X g(x)f(x)
If f is X and X's mass likelihood function support X.
For point b:
When X is continuing the g(X) expectations is calculated as, E[g(X)] = Z ∞ −∞ g(x)f(x) dx, where f is the X transportation distances of probability.If E(X) = −∞ or E(X) = ∞ (i.e., E(|X|) = ∞), they say it has nothing to expect from EX is occasionally written to stress that a specific probability distribution X is expected.Its expectation is given in the form of,E[g(X)] = Z x −∞ g(x) dF(x). , sometimes for the continuous random vary (x). Here F(x) is X's distributed feature. The anticipation operator bears the lineage of comprehensive & integral features. The superposition principle shows in detail how expectation maintains equality and is a skill.
Answer:
C
Step-by-step explanation:
Since we are dealing with recursive equations, we can use a simple format.

x is the starting value and y is the change.
We can see that the change is -5.6 since 5.6 is being subtracted from each term each time.
So the equation would be

We can check this by plugging in the numbers.
Let's see if -8.3 works, which is the 2nd term in the equation.

Therefore, the recursive rule is the third one.
Answer:992.325
Step-by-step explanation:
40×19.65+(7(19.65×1.5)