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xxTIMURxx [149]
2 years ago
13

if a triangle mesures 40 degrees and 100 degrees what triangle is it Scalene Isosceles or equilateral

Mathematics
1 answer:
kompoz [17]2 years ago
7 0
Scalene triangle good luck
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A mechanic charged $320.28 to repair a car. The price included charges for 3 hours of labor and $115.46 for parts. How much does
Viefleur [7K]

Answer:

$68.27 for 1 hour

Step-by-step explanation:

$320.28 - $115.46 = $204.82

$204.82 / 3 hours of labour = $68.27 for 1 hour

4 0
3 years ago
The equation of a parabola is 1/32 (y−2)2=x−1 .
Andru [333]

The given equation of parabola is

\frac{1}{32} (y-2)^2 = x-1

Which can also be written as

x = \frac{1}{32} (y-2)^2 +1

Here vertex (h,k) is (1,2)

And value of a is

a = \frac{1}{32}

Formula of focus is

(h+ \frac{1}{4a} , k)

Substituting the values of h,k and a, we will get

(1+ \frac{1}{4*(1/32) } , 2} = (1+ 8,2) = (9,2)

Therefore the correct option is the last option .

6 0
3 years ago
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Statistics informed decisions using data 5E
Tpy6a [65]
Statistics informed decisions using data 5E
4 0
3 years ago
Basic Computation: Testing M1 2 M2 A random sample of 49 measurements from a population with population standard deviation 3 had
Elenna [48]

Answer:

The sample statistics follows a standard normal distribution since the sample size are large enough.

Step-by-step explanation:

Given that:

<u>First population:</u>

Sample size n_1 = 49

Population standard deviation \sigma_1  = 3

Sample mean \overline x _1= 10

<u>Second population:</u>

Sample size n_2 = 64

Population standard deviation \sigma_2= 4

Sample mean \overline x_2= 12

The sample statistics follows a standard normal distribution since the sample size are large enough.

The null and alternative hypotheses can be computed as:

\mathbf{H_o:\mu_1=\mu_2}

\mathbf{H_1:\mu_1\ne\mu_2}

Level of significance  = 0.01

Using the  Z-test statistics;

Z = \dfrac{\overline x_1 - \overline x_2}{\sqrt{\dfrac{\sigma_1^2}{n_1} + \dfrac{\sigma_2^2}{n_2}}}

Z = \dfrac{10- 12}{\sqrt{\dfrac{3^2}{49} + \dfrac{4^2}{64}}}

Z = \dfrac{-2}{\sqrt{\dfrac{9}{49} + \dfrac{16}{64}}}

Z = \dfrac{-2}{\sqrt{0.18367 +0.25}}

Z = \dfrac{-2}{\sqrt{0.43367}}

Z = \dfrac{-2}{0.658536}

Z = - 3.037

Z \simeq - 3.04

The P-value = 2P (z < -3.04)

From the z tables

= 2 × (0.00118)

= 0.00236

Thus, since P-value is less than the level of significance, we fail to reject the null hypotheses H_o

5 0
2 years ago
First find the estimate of the quotient then find the exact quotient 3 3/7 divide by 1 4/9
svet-max [94.6K]
Estimate of the quotient:
3 3/7 = 3+0.428571=3.428571
1 4/9 = 1+0.444444=1.444444
(3 3/7) / (1 4/9) = 3.428571 / 1.444444 = 2.373627

Estimate of the quotient: 2.373627

Exact quotient:
3 3/7=(7*3+3)/7=(21+3)/7=24/7
1 4/9=(9*1+4)/9=(9+4)/9=13/9

(3 3/7) / (1 4/9) = (24/7) / (13/9) = (24/7)*(9/13)=(24*9) / (7*13)=216/91

Exact quotient: 216 / 91 = (182+34) / 91 = 182 / 91 + 34 / 91 = 2 34/91

Exact quotient: 216/91 = 2  34/91
4 0
2 years ago
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