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Shtirlitz [24]
3 years ago
14

Someone plz help me!!!

Mathematics
1 answer:
Over [174]3 years ago
8 0
w(x)=|-x-3|\\\\q(x)=|x|+3\\\\h(x)=|x-3|\\\\f(x)=|x+3|-3
You might be interested in
Solve for x<br><br> x^2-3x+2=0
cricket20 [7]

Answer:

x=1,2

Step-by-step explanation:

x^2-3x+2=0

(x-1)(x-2)

x-1=0

x-2=0

x=1,2

6 0
3 years ago
the price of a mobile phone was $600 in 2007. The price of a mobile phone is 2019 as increased to $1,100. What is the inflation
Elenna [48]

Answer:

0.83

Step-by-step explanation:

The $500 price increase over this 12 year span results in the inflation rate:

$500

---------- = 0.83..., or 0.83 to the nearest hundredth (equivalent to 83%)

 $600

6 0
3 years ago
If the area is 2289.06 whats the radius
solniwko [45]
I'm assuming you are referring to the radius of a square

The first thing we have to do is divide by pi, because it's the last thing you do when calculating the area.

2289.06/3.14
729

Now, we have to take the square root of this number because the radius in the area formula is squared.

729^1/2
27

So, the radius is 27.
3 0
3 years ago
Apply the​ 68-95-99.7 rule to answer the question. The lifetimes of light bulbs of a particular type are normally distributed wi
Montano1993 [528]

Answer:

95%.

Step-by-step explanation:

We have been given that the lifetimes of light bulbs of a particular type are normally distributed with a mean of 370 hours and a standard deviation of 7 hours.

We are asked to find the percentage of the bulbs whose lifetimes lie within 2 standard deviations to either side of the​ mean using empirical rule.

The empirical rule (68-95-99.7) states that approximately 68% of data points lie within 1 standard deviation of mean and 95% of data points lie within two standard deviation of mean. 99.7% of data points lie within three standard deviation of mean.

Therefore, approximately 95% of data points lie within two standard deviation of mean.

7 0
3 years ago
In a nutshell and thorough explanation, what is MAD? (Mean absolute deviation) --Please do not give me a Khan Academy link. (The
Genrish500 [490]

Answer:

The average absolute deviation (or mean absolute deviation (MAD)) about any certain point (or 'avg. absolute deviation' only) of a data set is the average of the absolute deviations or the positive difference of the given data and that certain value (generally central values). It is a summary statistic of statistical dispersion or variability. In the general form, the central point can be the mean, median, mode, or the result of any other measure of central tendency or any random data point related to the given data set. The absolute values of the difference, between the data points and their central tendency, are totaled and divided by the number of data points.

Measures of dispersion

Edit

Several measures of statistical dispersion are defined in terms of the absolute deviation. The term "average absolute deviation" does not uniquely identify a measure of statistical dispersion, as there are several measures that can be used to measure absolute deviations, and there are several measures of central tendency that can be used as well. Thus, to uniquely identify the absolute deviation it is necessary to specify both the measure of deviation and the measure of central tendency. Unfortunately, the statistical literature has not yet adopted a standard notation, as both the mean absolute deviation around the mean and the median absolute deviation around the median have been denoted by their initials "MAD" in the literature, which may lead to confusion, since in general, they may have values considerably different from each other.

Mean absolute deviation around a central point

Edit

For arbitrary differences (not around a central point), see Mean absolute difference.

The mean absolute deviation of a set {x1, x2, ..., xn} is

{\displaystyle {\frac {1}{n}}\sum _{i=1}^{n}|x_{i}-m(X)|.} \frac{1}{n}\sum_{i=1}^n |x_i-m(X)|.

The choice of measure of central tendency, {\displaystyle m(X)} m(X), has a marked effect on the value of the mean deviation. For example, for the data set {2, 2, 3, 4, 14}:

5 0
3 years ago
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