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2 years ago

I cant get this. its really hard. skskskskssksksksksksskks help

Mathematics

1 answer:

TEA [102]2 years ago

7 0

Answer:

Step-by-step explanation:

12+13=25, 25+1=26, 26+6=32

You might be interested in

Is (3,-4) a solution of x=-4

jekas [21]

Answer:

Step-by-step explanation:

3 is the x coordinate/ integer and -4 is the y coordinate and the integer so it wouldn't make sense

x= 3 is a solution

and id you don't understand the first thing i said watch this

#1. 3, - 4

#2. x= - 4

#3. substitute/replace the x with what the x coordinate is

#4. it will be 3= - 4

#5. as you can see the numbers don't equal each other so it's a no solution

4 0

2 years ago

Please help and explain

Elza [17]

Answer:

(-9,2)

(3,-6)

(6,-8)

(9,-10)

Step-by-step explanation:

y=-2/3(9)-4

y=-2/3(3)-4

y=-2/3(6)-4

y=-2/3(9)-4

6 0

3 years ago

Read 2 more answers

Factor by grouping : xy + 6y - 2x - 12 (if you don't know the answer don't comment)

alexira [117]

<h3> Hey There today we will solve your problem</h3>

First we will factor out $y$ from $xy+6y$ which gives us $y(x+6)$

Next we will factor out $-2$ from $-2x-12$ which gives us $-2(x+6)$

This gives us the equation

$y(x+6)-2(x+6)$

then factor out the common term $x+6$ and we get

$\left(x+6\right)\left(y-2\right)$

6 0

2 years ago

A sample of n = 4 scores is obtained from a population with a mean of 70 and a standard deviation of 8. If the sample mean corre

jeka57 [31]

Answer:

The value of the sample mean is 78.

Step-by-step explanation:

We are given that a sample of n = 4 scores is obtained from a population with a mean of 70 and a standard deviation of 8.

Also, the sample mean corresponds to a z score of 2.00.

Let $\bar X$ = sample mean

The z-score probability distribution for a sample mean is given by;

Z = $\frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }$ ~ N(0,1)

where, $\mu$ = population mean = 70

$\sigma$ = standard deviation = 8

n = sample size = 4

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

Now, we are given that the sample mean corresponds to a z score of 2.00 for which we have to find the value of sample mean;

So, z-score formula is given by ;

z-score = $\frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }$ = $\frac{\bar X-70}{\frac{8}{\sqrt{4} } }$