Answer: C) Changing one or more properties of a sine wave in response to data.
Step-by-step explanation:
Modulation is primarily used in telecommunications sector. It the process by which data is transmitted via electrical signals. It is the process of imposing an input signal on to a wave carrier. It is the pillar of data communication that enables the use information carriers of signals that are electrical and optical. Altering the carrier/ periodic waveform results in Modulation. The amplitude frequency and phase are conveyed. There are different types of Modulation which includes: amplitude Modulation, frequency Modulation, and phase Modulation.
Answer:
1) 
2) 
3) 
4) 
5) 
Step-by-step explanation:
To solve each proportion, we apply cross multiplication.
Question 1:


Simplifying both sides by 5

Question 2:


Simplifying both sides by 20

Simplifying by 3

Simplifying by 2

Question 3:


Simplifying both sides by 7

Simplifying both sides by 3

Question 4:



Question 5:


Simplifying by 2, both sides

Simplifying by 8, both sides

Answer:
Step-by-step explanation:
Given that X is the number of months between successive payments
Cumulative distribution function of X is

a) PMF of x would be

b) 
The approximate distance that Sabrina traveled in one revolution of the Ferris Wheel is A).45,972.74ft
The computer regression output includes the R-squared values, and adjusted R-squared values as well as other important values
a) The equation of the least-squares regression line is 
b) The correlation coefficient for the sample is approximately 0.351
c) The slope gives the increase in the attendance per increase in wins
Reasons:
a) From the computer regression output, we have;
The y-intercept and the slope are given in the <em>Coef</em> column
The y-intercept = 10835
The slope = 235
The equation of the least-squares regression line is therefore

b) The square of the correlation coefficient, is given in the table as R-sq = 12.29% = 0.1229
Therefore, the correlation coefficient, r = √(0.1229) ≈ 0.351
The correlation coefficient for the sample, r ≈ <u>0.351</u>
c) The slope of the least squares regression line indicates that as the number of attending increases by 235 for each increase in wins
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