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Alex73 [517]
3 years ago
10

Evaluate: 10-| x-20 | for x = 7.5​

Mathematics
2 answers:
ANEK [815]3 years ago
5 0

Answer:

- 2.5

Step-by-step explanation:

Note that the absolute value function always returns a positive value, that is

| - a | = | + a | = a

Given

10 - | x - 20 | ← substitute x = 7.5 into the expression

= 10 - | 7.5 - 20 |

= 10 - | - 12.5 |

= 10 - 12.5

= - 2.5

krok68 [10]3 years ago
3 0

Note that absolute value changes a value to a positive number regarding it's sign.

= 10 - |x - 20|

= 10 - |7.5 - 20|

= 10 - |-12.5

= 10 - 12.5

= -2.5 (Answer)

Hope This Helped! Good Luck!

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A certain test preparation course is designed to help students improve their scores on the USMLE exam. A mock exam is given at t
e-lub [12.9K]

Answer:

17.67-2.92\frac{2.517}{\sqrt{3}}=13.427    

17.67+2.92\frac{2.517}{\sqrt{3}}=21.913    

So on this case the 90% confidence interval would be given by (13.427;21.913)    

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

\bar X represent the sample mean for the sample  

\mu population mean (variable of interest)

s represent the sample standard deviation

n represent the sample size  

Solution to the problem

The confidence interval for the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

In order to calculate the mean and the sample deviation we can use the following formulas:  

\bar X= \sum_{i=1}^n \frac{x_i}{n} (2)  

s=\sqrt{\frac{\sum_{i=1}^n (x_i-\bar X)}{n-1}} (3)  

The mean calculated for this case is \bar X=17.67

The sample deviation calculated s=2.517

In order to calculate the critical value t_{\alpha/2} we need to find first the degrees of freedom, given by:

df=n-1=3-1=2

Since the Confidence is 0.90 or 90%, the value of \alpha=0.1 and \alpha/2 =0.05, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.05,2)".And we see that t_{\alpha/2}=2.92

Now we have everything in order to replace into formula (1):

17.67-2.92\frac{2.517}{\sqrt{3}}=13.427    

17.67+2.92\frac{2.517}{\sqrt{3}}=21.913    

So on this case the 90% confidence interval would be given by (13.427;21.913)    

6 0
3 years ago
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