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d1i1m1o1n [39]
3 years ago
5

On a recent 160 mile road trip Claires car used 7.75 gallons if gas how many gallons should she expect to use on a 150 mile Road

trip
Mathematics
1 answer:
inna [77]3 years ago
5 0
Ok so,

160 divided by 7.75 = 20.65

therefore,

150 divided by 20.65 =  7.265625 gallons or 7.27 (2 d.p)
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Suppose a shipment of 120 electronic components contains 3 defective components. to determine whether the shipment should be​ ac
Likurg_2 [28]

For this problem, the most accurate is to use combinations


Because the order in which it was selected in the components does not matter to us, we use combinations

Then the combinations are nC_r = \frac{ n! }{r! (n-r)!}

n represents the amount of things you can choose and choose r from them


You need the probability that the 3 selected components at least one are defective.

That is the same as:

(1 - probability that no component of the selection is defective).

The probability that none of the 3 selected components are defective is:

P = \frac{_{117}C_3}{_{120}C_3}


Where _{117}C_3 is the number of ways to select 3 non-defective components from 117 non-defective components and _{120}C_3 is the number of ways to select 3 components from 120.

_{117}C_3 = 260130

_{120}C_3 = 280840


So:

P = \frac{260130}{280840} = 0.927


Finally, the probability that at least one of the selected components is defective is:


P = 1-0.927 = 0.0737

  P = 7.4%

3 0
4 years ago
What is the mean of the data set?<br><br><br><br> {21, 23, 25, 25, 26, 28, 28, 28, 31, 33}
mafiozo [28]
The answer is 26.8 hope this helps!
5 0
3 years ago
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What is the answer? Please show work if possible.
vodka [1.7K]
Answer is d=2 1/3
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3 0
3 years ago
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A consumer advocacy group wants to determine whether there is a difference between the proportions of the two leading automobile
podryga [215]

Answer:

The answer is "0.3206".

Step-by-step explanation:

H_0: p_1 = p_2\\\\H_a: p_1 \neq  p_2\\\\\hat{p_1} = \frac{X_1}{N_1} = \frac{53}{400} = 0.1325\\\\\hat{p_1}= \frac{X_2}{N_2} = \frac{78}{500}= 0.156\\\\\hat{p} = \frac{(X_1 + X_2)}{(N_1 + N_2)} = \frac{(53+78)}{(400+500)} = 0.1456

Testing statistic:

z = \frac{(\hat{p_1}- \hat{p_2})}{\sqrt{(\hat{p} \times (1-\hat{p}) \times (\frac{1}{N_1} + \frac{1}{N_2}))}}

=\frac{(0.1325-0.156)}{\sqrt{(0.1456\times (1-0.1456)\times (\frac{1}{400} + \frac{1}{500}))}}\\\\ = -0.99

Calculating the P-value Approach

\text{P-value}= 0.3206

7 0
2 years ago
-2.25-(-3.9) show your work I WILL DO BRAIN LIST 15 POINTS
Elden [556K]

Answer:

The answer is 1.65

Step-by-step explanation:

−2.25−(−3.9)

=−2.25−(−3.9)

=−2.25+3.9

=1.65

7 0
3 years ago
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