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3 years ago

Profit is a(n)_____ in a person's assets.

Mathematics

2 answers:

ddd [48]3 years ago

7 0

Increase hope this helps!

DanielleElmas [232]3 years ago

4 0

Answer:

Profit is a GAIN in a person's assets.

Profit is an INCREASE in a person's assets.

Step-by-step explanation:

Profit is defined as a financial gain achieved in something. It is summed up as the difference between the amount spent in producing something and the amount earned by selling something.

Overall when a profit is earned, a person's assets increases.

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Suppose a group of 12 students consists of five freshmen and seven sophomores. How many six-student teams can be chosen that con

Tresset [83]

Answer:

350

Step-by-step explanation:

8 0

3 years ago

Find the mean and variance of the following data 52,34,64,49,55,26,38,63

BlackZzzverrR [31]

Answer:

Mean = 47,625

Variance, ignoring the commas = 157

Explanation:

The mean is quite simple: is the mid value of an amount (m') of numbers.

Examples:

Mean of 2, 4: 2 + 4/2 = 3

Mean of 5, 6 and 8: 1+6+8/3 = 15/3 = 5

Generalizing: M' = An + Bn-1 + Cn-2 +... + Y1/ n

So, for the enunciated, we have:

M = 52 + 34 + 64 + 49 + 55 + 26 + 38 + 63/8

M = 47,625

Variance is quite harder.

The mathematics definition is also quite harder:

∑n, i=1 (Xi - X')²/n

Traduction: the sum of the difference of the square of the dispersion measures by the arithmetic mean of them, divided by the number of observed terms is the square of the standard deviation, that is, the variance.

Don't worry, you don't need to understand that. I'll do the question, then you will see in practice what that means.

First, we need the mean of the observerd terms. We already have done that.

M = 47,625.

Next, we will do the the difference of the square of the dispersion measures by the arithmetic mean of them. Which are:

A.52 - 47,625 = (4,375)²

B.34 - 47,625 = (-13,625)² - Because of a value like that, you know see why

C.64 - 47,625 = (16,375)²

D.49 - 47,625 = (1,375)²

E.55 - 47,625 = (7,375)²

F.26 - 47,625 = (-21,625)² - we need to square everything: because a negati

G.38 - 47,625 = (-9,625)² - ve result doest not help in the statisc.

K.63 - 47,625 = (15,375)²

I am using a calculator, but really with that, I'll aproximately the values. If you need a accurate measure, just square them all the way.

A = 16 D = 1 G = 100

B = 169 E = 49 K = 225

C = 256 F = 441

The last part is the sum of the difference of the square of the dispersion measures by the arithmetic mean of them, dividing them by the number of observations.

16 + 169 + 256 + 1 + 49 + 441 + 100 + 225/ 8 = 157,125

8 is the number of observations.

___________________________

But why we do the variance? The variance serves to us for know how much the mean is precise.

So, the lower is the variance, the better is the mean.

Take a look on this example:

Imagine three persons, A, B and C.

They are in pub, talking about how much they receive. A gets, per month, 1000US$, b 2000 and C 3000US$.

So, their mean are 3000US$.

Now imagine that Bill Gates joins the group. And Bill, last month, got 100 milion US$.

Now the mean will be almost 25 milions of dollars. So, she is VERY far from the reality of the major part of the group. And is in there that cames the variance. Looking to the variance, we will see that there is a big discrepancy for each observed term.

5 0

3 years ago

I need help with this (don't answer if you don't know)

SashulF [63]

Answer:

Step-by-step explanation:

Here's a step by step tutorial on your calculator on how to do this.

Hit "stat" then "1: Edit". If there are numbers there, arrow up to highlight L1, or L2, or wherever there are numbers. Hit "clear" then "enter" and the numbers will be gone. In L1, enter the Practice throws values. Press 3 then enter, then 12 then enter, then 6 then enter, etc. til all of them are in L1's column. Then arrow over to L2 and do the same with entering all the Free Throw values.

When you're done, hit "stat" again, then arrow over once to "calc" and #4 should say LinReg. That's a linear regression equation. If you have a TI 83, just hit enter and you'll get the equation in the form y = mx + b. If you have a TI 84 or 84+, you'll need to arrow down to the word "calculate" and then you'll see the equation.

One thing...if you have not turned your diagnostics on, you wont be able to see the coefficient of determination (the r-squared value). To make sure it's on:

Hit 2nd, then 0. You have opened up the catalog which lists every single thing your calculator can do in alphabetical order. The hit the button UNDER the MATH button (x to the negative 1) and scroll down until you see "diagnosticsON" and hit enter twice.

If you need to recall the linear regression equation, hit "stat", then "calc" then either enter or calculate and you'll get the linear equation again and an r value and an r-squared value. The closer that number is to 1, the better the data fits that model. I got that the equation is

y = 2.352x - .852 with an r-squared value of .844

To get the quadratic regression equation, hit "stat" then "calc" then choose #5, QuadReg. Repeat the process to calculate your equation. Mine was

$y=.073x^2+1.205x+2.555; r^2=.855$

And for the exponential regression, choose ExpReg (mine is under 0. Yours may be some other number. Just arrow down til you find it, it's there!) My ExpReg equation was

$y=4.229(1.170)^x; r^2=.833$

It appears that the r-squared value is the highest in the quadratic regression equation, so that's the best fit.

4 0

3 years ago

Scale a rectangle that has length 9 inches and width 17 inches by the scale factor determine the dimensions of the scaled rectan

emmasim [6.3K]

Answer:

The dimensions of the scaled rectangle are

$6.3\ in$ of length by $11.9\ in$ of width

Step-by-step explanation:

we know that

The scale factor is equal to $70\%$

Remember that

$70\%=70/100=0.70$

The scale factor is less than 1

the dilation is a reduction

To find the dimensions of the scaled rectangle multiply the dimensions of the original rectangle by the scale factor

$9*0.7=6.3\ in$

$17*0.7=11.9\ in$

4 0

3 years ago

Help please I'm stuck once again?

Llana [10]

Answer:

The probe's final position is -143m

Step-by-step explanation:

Note that the words 'lowered' and 'below' mean subtract; while the word 'raised' means add. Thus, interpreting the statement to mathematical expression is done below.

$- 90m + 50m - 138m + 35m$

$= - 143m$

Therefore, the probe's final position is -143m. Hence, the sensor is 143m below the sea level.

5 0

3 years ago