Answer:
a) They have different wavelengths.
b) They have different frequencies.
Step-by-step explanation:
Electromagnetic waves (EM waves) refer to waves carrying electromagnetic radiant energy which are propagated through vacuum or non-vacuum (material medium). They range from radio waves to gamma rays; they travel through space at the speed of light (about 300 million metres per second) and they are measured in photons.
The EM waves have the following characteristics:
1. They have different wavelengths
2. They have different frequencies
3. They travel at the speed of light independent of the medium of propagation (vacuum or material medium)
4. They do not require a media to be propagated
<u>Based on the explanation above, Options </u><u>a</u><u> (They have different wavelengths) and </u><u>b</u><u> (They have different frequencies) are the correct answers</u>
If you multiply x over, you get
8x = 3/4 + 1
8x = 7/4
x = 7/4 * 1/8
x = 7/32
Step-by-step explanation:
| | |
2 | ($25 x 2) = $50 | ($11 x 2 + 18) = $40 | Profit = $50 - $40 = +$10
| ---- | -------- | -------
3 | ($25 x 3) = $75 | ($11 x 3 = 18) = $51 | Profit = $75 - $51 = +$24
| ---- | --------- | -------
Total Number of toys = 1+2+3 = 6
Total Earnings = $25+$50+$75 = $150
Total Cost = $29+$40+$51 = $120
Total Profit = $150-$120 = +$30
Answer:
Yes.
∆CAB ≅ ∆XYZ by AAS Congruence Theorem.
Step-by-step explanation:
There's enough information provided in the diagram above for us to prove that ∆CAB is congruent to ∆XYZ.
From the diagram, we cam observe the following:
<A ≅ <Y
<B ≅ <Z
side CA ≅ XY
Using the Angle-Angle-Side (AAS) Congruence Theorem, since two angles, <A and <B, and a non-included side, CA, in ∆CAB are congruent to two the corresponding angles, <X and <Z, and a non-included side, XY, in ∆XYZ, then ∆CAB is congruent to ∆XYZ.
Answer:
And we can find this probability using the complement rule and with the normal standard table or excel:
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the average household spent of a population, and for this case we know the distribution for X is given by:
Where 
and 
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the complement rule and with the normal standard table or excel:
