6√2 + 4 √32
try to get the same number "2" remaining under the root sign by finding what # times 2 gives 32
6√2 + 4√2×√16
since 16 is a perfect Square √16 gives 4
therefore.
6√2 + 4 ×4 √2
6√2 +16√2
these are Like terms so add them
which would give u
22√2
hoped i helped, feel free to ask any question XOX
The missing reasons in the proof using the Alternate Interior Angles Theorem diagram that is given are:
a. Corresponding angles
b. Vertical Angles, and
c. Alternate interior angles
- Two angles lying opposite each other along a transversal, and are within the two lines crossed by the transversal are referred to as alternate interior angles.
- According to the Alternate Interior Angles Theorem, the two alternate interior angles are congruent to each other.
- <em>Let's state out our </em><em>proof </em><em>using the image given:</em>
<em />
<em><u>Statement 1</u></em>: line l is parallel to line m
Reason: Given
<em><u>Statement 2:</u></em>
Reason: Corresponding Angles <em>(both angles occupy the same corner, hence they correspond to each other. </em><em>Corresponding angles</em><em> have the same measure).</em>
<u><em>Statement 3: </em></u>
Reason: Vertical angles<em> (both angles are directly opposite each other as they share the same point, which makes them </em><em>vertical angles</em><em>. </em><em>Vertical angles</em><em> have equal measure).</em>
<em><u>Statement 4: </u></em>
<em><u /></em>
Reason: Alternate Interior Angles <em>(applying the </em><em>transitive property</em><em> which says if a = b, and b = c, then a = c, therefore, since </em>
<em>)</em>
In conclusion, the missing reasons in the proof using the Alternate Interior Angles Theorem diagram that is given are:
a. Corresponding angles
b. Vertical Angles, and
c. Alternate interior angles
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Answer:
Correct option: Type II error.
Step-by-step explanation:
In statistical hypothesis testing two kind of errors can be committed by the researcher.
- Type I error: The probability of rejecting a null hypothesis when in fact it is true.
- Type II error: The probability of not rejecting a null hypothesis when in fact it is false.
The power of the test is defined as the probability of rejecting a false null hypothesis. It is denoted by <em>β</em>.
Then the probability of Type II error can be defined as:
P (Type II error) = 1 - <em>β</em>.
The power of the test is affected by the significance level<em>.</em>
If the significance level is less than the power is also less.
The significance level is related to the <em>p</em>-value of the test.
So the P(Correct) = 1 - <em>p</em>-value.
First, x=1 is a vertical line. A line that is perpendicular would be horizontal so it would have a slope of 0. A line parallel to it would be vertical too so it would have and infinite gradient.
Answer:
4
Step-by-step explanation:
just because i just took it