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Shkiper50 [21]
3 years ago
15

Blue Line Red Line y-intercept slope Inequality

Mathematics
1 answer:
ElenaW [278]3 years ago
8 0

Answer:

Y-intercept

Step-by-step explanation:

Because they both meet

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Answer my question and i will mark you as brainliest please help me its that easy
irakobra [83]

Answer:

I saw this exact question somewhere else! Here's the answer.

Step-by-step explanation:

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3 years ago
16) 56 is what percent of 40?<br> %
IrinaK [193]

140

Step-by-step explanation:

56:40*100 =

(56*100):40 =

5600:40 = 140

7 0
3 years ago
You find 13,406,190 pennies, how many dollars doid you actually find? if each penny weighs 4 grams how much did all that loot we
RSB [31]
Answer: 134,061.9 dollar and 118,222.45 lb

To answer this question you need to convert each unit.
First, 1 dollar equal to 100 pennies. That mean the equation would be: <span>13,406,190 pennies x 1 dollar/100 pennies = 134,061.9 dollar

Each penny weight 4 grams and 1 lb equal to </span>453.592grams. Then the equation would be:
13,406,190 pennies x 4 grams/pennies x 1lb/453.592 grams= 118,222.45 lb
4 0
3 years ago
Help ASAP please, 10 points if you do
Andre45 [30]
I would say B.

Your starting term is 10, so that is your a1 value. Each time you add 4 to the number before, like 10+4=14 and so on, so that would mean (a-1)+4.
7 0
3 years ago
Read 2 more answers
For the given hypothesis test, determine the probability of a Type II error or the power, as specified. A hypothesis test is to
erica [24]

Answer:

the probability of a Type II error if in fact the mean waiting time u, is 9.8 minutes is 0.1251

Option A) is the correct answer.

Step-by-step explanation:

Given the data in the question;

we know that a type 11 error occur when a null hypothesis is false and we fail to reject it.

as in it in the question;

obtained mean is 9.8 which is obviously not equal to 8.3

But still we fail to reject the null hypothesis says mean is 8.3

Hence we have to find the probability of type 11 error

given that; it is right tailed and o.5, it corresponds to 1.645

so

z is equal to 1.645

z = (x-μ)/\frac{S}{\sqrt{n} }

where our standard deviation s = 3.8

sample size n = 50

mean μ = 8.3

we substitute

1.645 = (x - 8.3)/\frac{3.8}{\sqrt{50} }

1.645 = (x - 8.3) / 0.5374

0.884023 = x - 8.3

x = 0.884023 + 8.3

x = 9.18402

so, by general rule we will fail to reject the null hypothesis when we will get the z value less than 1.645

As we reject the null hypothesis for right tailed test when the obtained test statistics is greater than the critical value

so, we will fail to reject the null hypothesis as long as we get the sample mean less than 9.18402

Now, for mean 9.8 and standard deviation 3.8 and sample size 50

Z =  (9.18402 - 9.8)/\frac{3.8}{\sqrt{50} }

Z = -0.61598 / 0.5374

Z = - 1.1462 ≈ - 1.15

from the z-score table;

P(z<-1.15) = 0.1251

Therefore, the probability of a Type II error if in fact the mean waiting time u, is 9.8 minutes is 0.1251

Option A) is the correct answer.

8 0
3 years ago
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