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kotegsom [21]
3 years ago
10

3 (1 + d) – 5 = 3d - 2 what is the value of d?

Mathematics
1 answer:
Zinaida [17]3 years ago
6 0

Answer:

Infinitely many solutions.

Step-by-step explanation:

3(1+d)-5=3d-2

3+3d-5=3d-2

3d-2=3d-2

infinitely many solutions

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A city that has an elevation of 15 meters is closer to sea level than a city that has an elevation of -10 meters.
Darya [45]

Answer:

Step-by-step explanation: Your answer will be -10 because even though -10 is much lower than 15 it’s still closer to sea level.

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2 years ago
Explain the effect of c on the graph of y=f(x) for the function y=f(x)+c ?
omeli [17]

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Shifts it up c units.

Step-by-step explanation:

The '+ c'  will move the whole graph upwards c units.

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1. is b and 2. is c

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3 years ago
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In a statistics​ class, the standard deviation of the heights of all students was 3.8 inches. The standard deviation of the heig
goblinko [34]

Answer:

The reason why standard deviation of the entire class is greater than standard deviation of males and females considered separately, is that mean values for males and females are different from each other.

Step-by-step explanation:

The concept of mean is well represented by the following formula

mean = \frac{(x1 + x2 + x3 + ..... + xn)}{N}, where x1, x2, xn are the observations and N is the number of observations (population).

Standard deviation represents the distance between each observation and the mean of the population (all observations). The formula for this parameter is:

Standard deviation =√[((x1 - x)² + (x2-x)² + ....+ (xn-x)²)/N-1], where x1, x2,..., xn are the observations and x is the mean value.

In this case you have that each height registered is an observation and the number of observations represents the N value. As you can see if the mean for males is different from that of females their standard deviation will be different too. Usually males have heigths greater than that of females (1.77 vs 1.64, in USA for example), and heights inside each group will be more similar than between groups. Then, when you mix all observation there will be an increase in standard deviation, because you are mixing very different heigths

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