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andrezito [222]
3 years ago
14

HELLPPPP! WILL GIVE BRAINLIEST!

Mathematics
1 answer:
MArishka [77]3 years ago
3 0
6.15x = 123
123 ÷ 6.15 = 20
x = 20 hours.
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In the graphic above, ΔRED ≅ ΔTAN by: aHL. bSSA. cSAS. dThe triangles are not congruent.
USPshnik [31]

Answer:

a. HL

Step-by-step explanation:

ΔRED ≅ ΔTAN by HL Postulate of congruen.

3 0
2 years ago
Solve pls brainliest
tamaranim1 [39]

= 29/6 ×4

=29/3 ×2

=58/3

=19(1/3)

5 0
2 years ago
1 Apply Malcolm is making chicken rice soup. The recipe calls for 5 cups of chicken broth per cup of brown rice. How many cups o
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Answer:

you will need 4 cups of brown rice because it says per cup of brown rice

7 0
2 years ago
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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
You’re walking down the hall and you overhear someone talking about you behind your back. What would you do and why?
Alina [70]

Answer: Go up and confront them because i hate when people do that!

Step-by-step explanation:

7 0
3 years ago
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