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Alenkasestr [34]
3 years ago
10

PLS ANSWER! ❤️ What is the x intercept

Mathematics
2 answers:
scoundrel [369]3 years ago
8 0
The x-intercept is (-4,0)
MariettaO [177]3 years ago
7 0

Answer:

-4

Step-by-step explanation:

If you look on the x axis (Horizontal) the line hits the graph at -4

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Please help simplify this...
juin [17]
Answer is 36.
First use the negative exponent rule. When a number is put to the negative power it becomes a fraction
4/3^2

Now 3 to the second power is 9
4/1/9 (4 over 1/9)
Now multiply 4 x 9 (dividing by 1/9 is the same as multiplying by 9)

4 x 9= 36
5 0
3 years ago
What is ✔️16 ? Raises cuadrada
aev [14]
If you are looking for √16, you are looking for the square root of 16. The square root of a number is defined by what number multiplied by itself will get you.
x^2 (a number squared) = 16.
√16 = x.
Let's try from numbers 1-5 for a square.
1x1 = 1
2x2 = 4
3x3 = 9
4x4 = 16
√16 = 4.
I hope this helps!
5 0
2 years ago
Read 2 more answers
A certain tennis player makes a successful first serve 6969​% of the time. Suppose the tennis player serves 9090 times in a matc
Wewaii [24]

Answer:

a) 4.387

b) Yes, because np & npq are greater than 10.

c) = 0.017          

Step-by-step explanation:

Give data:

p = 0.69

n = 90

a) a

E(X) = np = 62.1

SD(X) = \sqrt{(np(1-p))}

          =\sqrt{90\times 0.69(1- 0.69)}

          = 4.387

b)

np = 62.1  

q = 1 - p  = 1 - 0.69 = 0.31

npq = 19.251

Yes, because np & npq are greater than 10.

c.

P(X \geq 72   ) = P(X > 71.5) [continuity correction]

=    P(Z> \frac{((71.5-62.1)}{ 4.387})

= P(Z> 2.14 )      

= 1 - P(Z<2.14)              

= 1 - 0.983   (using table)          

= 0.017          

8 0
3 years ago
Bailey ran 1 mile and 14 yards.How many total feet did bailey run?
Slav-nsk [51]

Answer:

D. 5,322

Step-by-step explanation: 5280 feet in 1 mile, 42 feet in 14 yards

6 0
2 years ago
Read 2 more answers
When computing the standard deviation, does it matter whether the data are sample data or data comprising the entire population?
rusak2 [61]

Answer:

Yes. When computing the sample standard deviation, divide by n −1. When computing the population  standard deviation, divide by N

Step-by-step explanation:

4 0
3 years ago
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