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denis23 [38]
3 years ago
8

What is the y-intercept of the line in the picture

Mathematics
2 answers:
Darya [45]3 years ago
8 0

Answer:

-2

Step-by-step explanation:

Ksenya-84 [330]3 years ago
8 0
The y intercept would be -2. hope you do well:)
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Find the measure of ∠1.<br><br> A. 240º<br> B. 40º<br> C. 140º<br> D. 70º
frez [133]
The answer is B because 140 plus 40 is 180
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4 years ago
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Riley has 3 5/9 gallons of fuel left in his car. He uses 7/16 of the fuel to drive to the bank. Then, he uses 2/5 of the remaini
nevsk [136]
He has 2 8/9
Gallons left
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3 years ago
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Find the value of x in the diagram and explain your reasoning
Paul [167]

Answer:

C 4.5 the two triangles in the diagram are similar.

Step-by-step explanation:

Since, the two triangles in the diagram are similar.

Therefore,

4 \times x = 3 \times 6 \\  \\ x =  \frac{18}{4}  \\  \\ x = 4.5

7 0
3 years ago
In tests of a computer component, it is found that the mean time between failures is 937 hours. A modification is made which is
VladimirAG [237]

Answer:

Null hypothesis is \mathbf {H_o: \mu > 937}

Alternative hypothesis is \mathbf {H_a: \mu < 937}

Test Statistics z = 2.65

CONCLUSION:

Since test statistics is greater than  critical value; we reject the null hypothesis. Thus, there is sufficient evidence to support the claim that the modified components have a longer mean time between failures.

P- value = 0.004025

Step-by-step explanation:

Given that:

Mean \overline x = 960 hours

Sample size n = 36

Mean population \mu = 937

Standard deviation \sigma = 52

Given that the mean  time between failures is 937 hours. The objective is to determine if the mean time between failures is greater than 937 hours

Null hypothesis is \mathbf {H_o: \mu > 937}

Alternative hypothesis is \mathbf {H_a: \mu < 937}

Degree of freedom = n-1

Degree of freedom = 36-1

Degree of freedom = 35

The level of significance ∝ = 0.01

SInce the degree of freedom is 35 and the level of significance ∝ = 0.01;

from t-table t(0.99,35), the critical value = 2.438

The test statistics is :

Z = \dfrac{\overline x - \mu }{\dfrac{\sigma}{\sqrt{n}}}

Z = \dfrac{960-937 }{\dfrac{52}{\sqrt{36}}}

Z = \dfrac{23}{8.66}

Z = 2.65

The decision rule is to reject null hypothesis   if  test statistics is greater than  critical value.

CONCLUSION:

Since test statistics is greater than  critical value; we reject the null hypothesis. Thus, there is sufficient evidence to support the claim that the modified components have a longer mean time between failures.

The P-value can be calculated as follows:

find P(z < - 2.65) from normal distribution tables

= 1 - P (z ≤ 2.65)

= 1 - 0.995975     (using the Excel Function: =NORMDIST(z))

= 0.004025

6 0
3 years ago
Help pls help pls help
fiasKO [112]

Answer:

1/4 of a mile in 1/10 of an hour

you can set up a proportion

(1/4)/(1/10)=2/H

you can now simplify or cross multiply

simplifying the left side

(1/4) divided by (1/10) equals (1/4) times (10/1)

(1/4)*(10/1)=10/4=5/2

5/2=2/H

cross multiply

5H=2*2

5H=4

H=4/5 of an hour or (4/5)*60=48 minutes

another solution...

2/(1/4)=8 and 8*(1/10)=8/10=4/5 of an hour or 48 minutes again

4 0
2 years ago
Read 2 more answers
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