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bezimeni [28]
4 years ago
10

Help out if you can!

Mathematics
1 answer:
Grace [21]4 years ago
4 0

Answer:

I think it's 3 but I'm not sure

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All I've found is 1 but how do I work that out properly beaides guess and check​
BaLLatris [955]

Answer:

1

Step-by-step explanation:

(1-x)/x=0

or, 1-x=0

or, -x=-1

or, x=1

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Step-by-step explanation:

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3 years ago
Find the quotient.<br>7.6)69.54<br>Show how to check your answer.​
timama [110]
<h2>Answer:</h2><h2>The quotient when 69.54 is divided by 7.6 is 9.15</h2>

Step-by-step explanation:

We have to divide, 69.54 by 7.6

Therefore, the quotient is 9.15 with remainder 0

To check the answer, multiply 9.5 by 7.6, we get the product as 69.54

Therefore, the quotient when 69.54 is divided by 7.6 is 9.15

7 0
3 years ago
Jacob knows that the adult population gets, on average, eight hours of sleep each night. A hypothesis test can help him see if c
Vlad [161]

Answer:

The t-statistic that Jacob calculates is t = -2.71

Step-by-step explanation:

Jacob knows that the adult population gets, on average, eight hours of sleep each night. A hypothesis test can help him see if college students are different from the adult population.

At the null hypothesis, we test if the mean is of 8 hours, that is:

H_0: \mu = 8

At the alternative hypothesis, we test if the mean is different of 8 hours, that is:

H_1: \mu \neq 8

The test statistic is:

t = \frac{X - \mu}{\frac{s}{\sqrt{n}}}

In which X is the sample mean, \mu is the value tested at the null hypothesis, s is the standard deviation and n is the size of the sample.

8 is tested at the null hypothesis:

This means that \mu = 8

From a sample of 101 students, Jacob tabulated that his sample of students got an average of 7.3 hours of sleep each night, with a standard deviation of 2.6.

This means that n = 101, X = 7.3, s = 2.6

What is the t-statistic that Jacob calculates?

t = \frac{X - \mu}{\frac{s}{\sqrt{n}}}

t = \frac{7.3 - 8}{\frac{2.6}{\sqrt{101}}}

t = -2.71

The t-statistic that Jacob calculates is t = -2.71

6 0
3 years ago
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