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zysi [14]
3 years ago
14

The typical exponential function, y = ax, has asymptote ________ and y-intercept ________.

Mathematics
2 answers:
ludmilkaskok [199]3 years ago
7 0

Answer: B) The typical exponential function, y = ax, has asymptote the x-axis and y-intercept x = 0.

Step-by-step explanation:

For the funcion y = a^x, the asymptote is the value that the function would never assum, but gets really close. In this case, there is no value for y = 0, becausey = a^x\\0 = a^x \\ln(0) = x.lna\\ln(0)is not defined! This way, asymptote is x-axis (y=0).

y-intercept ⇒ x=0, so

y=a^x\\y=a^0=1

This, way, the point (0,1)

alternative b

Marina86 [1]3 years ago
5 0
The typical exponential function, y = ax, has asymptote y = 0 and <span>y-intercept (0,1). The correct option among all the options that are given in the question is the second option or option "B". The other choices are incorrect and can be easily negated. I hope that this is the answer that has actually come to your help.</span>
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Slope-intercept form of Slope = -9/5, y-intercept = -4
Brilliant_brown [7]

Answer:

y = - \frac{9}{5} x - 4

Step-by-step explanation:

The equation of a line in slope- intercept form is

y = mx + c ( m is the slope and c the y- intercept )

Here m = - \frac{9}{5} and c = - 4 , thus

y = - \frac{9}{5} x - 4 ← equation of line

7 0
2 years ago
Which statement is supported by the histograms? The two data sets have the same distribution and same range. The two data sets h
Ad libitum [116K]

Answer:

The two data sets have different distributions and different ranges.

Step-by-step explanation:

When you subtract for both of the ranges they are different numbers. So that's the second part. The numbers along the bottom are different too so that is the different distributions.

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3 years ago
(4.1.4) Let X and Y be Bernoulli random variables. Let Z = X + Y. a. Show that if X and Y cannot both be equal to 1, then Z is a
Fynjy0 [20]

Step-by-step explanation:

Given that,

a)

X ~ Bernoulli (p_x) and Y ~ Bernoulli (y_x)

X + Y = Z

The possible value for Z are Z = 0 when X = 0 and Y = 0

and Z = 1 when X = 0 and Y = 1 or when X = 1 and Y = 0

If X and Y can not be both equal to 1 , then the probability mass function of the random variable Z takes on the value of 0 for any value of Z other than 0 and 1,

Therefore Z is a Bernoulli random variable

b)

If X and Y can not be both equal to  1

then,

p_z = P(X=1 or Y=1)\\

p_z = P(X=1)+P(Y=1)-P(=1 and Y =1)

p_z = P(x=1)+P(Y=1)\\\\p_z=p_x+p_y

c)

If both X = 1 and Y = 1 then Z = 2

The possible values of the random variable Z are 0, 1 and 2.

since a  Bernoulli variable should be take on only values 0 and 1 the random variable Z does not have Bernoulli distribution

7 0
3 years ago
Show that KLPQ is a parallelogram
Alex787 [66]

Step-by-step explanation:

m = 14, n = 12.5

m<L = (5m + 36)° = (5(14) + 36)°

L = 106°

m<p= (6n-1°)=(6x12.5-1°)

p=74°

m<Q = (4m + 50)° = (4(14) + 50)°

Q = 106°

k=360°-(106°+74+°106°)=360°-286°

k=74°

The sum of the interior angle of a parallelogram is 360°

The opposite side of a parallelogram are equal.

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2 years ago
What is 713,753 rounded to the nearest hundred thousand?
Pani-rosa [81]

Answer:

700,000

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
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