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Liula [17]
3 years ago
7

Which expression have a value between 7 and 8 π+4 2II √62 √48 √56​

Mathematics
1 answer:
lilavasa [31]3 years ago
7 0

Answer:

square root 48

Step-by-step explanation:

It is square root 48 because it is between 7 and 8 not exactly if it was exactly 7 and 8 it would be square root 56

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What is the slope of the line through (-9,6)(−9,6)
Vika [28.1K]

Answer:

Well I think It's undefined

Step-by-step explanation:

m =  y2 - y1/x2 - x1

= 6-6/-9-(-9)

= 6-6/-9+9

m = 0/0

5 0
3 years ago
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What is 52divided by 8
scoray [572]
The answer to 52\8 is 6.5.
7 0
3 years ago
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In 2018, Mike Krzyewski and John Calipari topped the list of highest paid college basketball coaches (Sports Illustrated website
expeople1 [14]

From the data given, we estimate the population mean and population standard deviation. Then, we use this estimate to find a 95% confidence interval for the population variance and the population standard deviation.

Sample:

Salaries in millions of dollars: 2.2, 1.5, 0.5, 1.3, 2.4, 1.5, 2.7, 0.3, 2.0, 0.3

Question a:

The mean is the sum of all values divided by the number of values. So

\overline{x} = \frac{2.2 + 1.5 + 0.5 + 1.3 + 2.4 + 1.5 + 2.7 + 0.3 + 2.0 + 0.3}{10} = 1.42

The sample mean salary is of 1.42 million.

Question b:

The standard deviation is the square root of the difference squared between each value and the mean, divided by one less than the number of values.

So

s = \sqrt{\frac{(2.2-1.42)^2 + (1.5-1.42)^2 + (0.5-1.42)^2 + (1.3-1.42)^2 + (2.4-1.42)^2 + (1.5-1.42)^2 + (2.7-1.42)^2 + ...}{9}} = 0.8772

Thus, the estimate for the population standard deviation is of 0.8772 million.

Question c:

The sample size is n = 10

The significance level is \alpha = 1 - 0.05 = 0.95

The estimate, which is the sample standard deviation, is of s = 0.8772.

Now, we have to find the critical values for the Pearson distribution. They are:

\chi^2_{\frac{\alpha}{2},n-1} = \chi^2_{0.025,9} = 19.0228

\chi^2_{1-\frac{\alpha}{2},n-1} = \chi^2_{0.975,9} = 2.7004

The confidence interval for the population variance is:

\frac{(n-1)s^2}{\chi^2_{\frac{\alpha}{2},n-1}} < \sigma^2 < \frac{(n-1)s^2}{\chi^2_{1-\frac{\alpha}{2},n-1}}

\frac{9*0.8772^2}{19.0228} < \sigma^2 < \frac{9*0.8772^2}{2.7004}

0.3641 < \sigma^2 < 2.5646

Thus, the 95% confidence interval for the population variance is (0.3641, 2.5646)

Question d:

Standard deviation is the square root of variance, so:

\sqrt{0.3641} = 0.6034

\sqrt{2.5646} = 1.6014

The 95% confidence interval for the population standard deviation is (0.6034, 1.6014).

For more on confidence intervals for population mean/standard deviation, you can check brainly.com/question/13807706

4 0
3 years ago
during a sale a shirt was marked down from 70 to 56 what was the percent decrease in the price of the shirt
melomori [17]

20%

70 x n%= 56

n% = 70 x 56

n = 0.8 x 100

n = 80

the percent decrease = 100 - 80

= 20 %

4 0
3 years ago
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Kent sells crates of bottled soda. For every crate he sells, he makes $3.14. Last week, Kent sold 41 crates of bottled soda. How
AURORKA [14]
Number of soda crates sold by Kent last week = 41
Amount made by Kent for selling each crate = $3.14
Amount made by Kent by selling 41 crates = (3.14 * 41) dollars
                                                                     = (314/100) * 41 dollars
                                                                     = 12874/100 dollars
                                                                     = 128.74 dollars
So the amount of money Kent makes by selling 41 crates of soda bottle is $128.74. this is the easiest way of solving such type of problems. I hope this method will help you to solve these kind of problems in future without requiring any help from others.
6 0
3 years ago
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