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Tju [1.3M]
4 years ago
5

What is 19 times 40 whoever gets rite gets brainiest

Mathematics
2 answers:
Gekata [30.6K]4 years ago
6 0

Answer:

760

Step-by-step explanation:

19 x 40 = 760

Alexxx [7]4 years ago
5 0
760 because 40x19 = 760.
You might be interested in
An advertising company conducted a survey to determine how often people of different ages shopped online. The table shows the da
ohaa [14]

Answer:

Teens who use online shopping sometimes = 6

total number of people who use online shopping sometimes = 20

total percentage of teens using online shopping sometimes = 6/20*100 => 30%

hope it helps

have a nice day

4 0
3 years ago
1.) What is slope and how is it determined from an graph?
Daniel [21]

1) Slope tell about the steepness of the line.

To find slope we look at the rise and run between 2 points.


attached the graph of line with slope


slope = \frac{change in y values ( rise)}{change in x value (run)}

= \frac{2}{1}

So slope = 2

2) we have x and y intercepts


x intercept is the point where the line crosses x axis


x intercept at x= 3


y intercept is the point where the line crosses y axis


y intercept at y= 6

3) Linear equation is y= 3x+2

function is f(x) = 3x+2

We can graph it using slope and y intercept


In f(x)= 3x + 2 , slope =3 and y intercept = 2


slope = 3, rise = 3 and run =1


The graph of f(x)= 3x+2 is attached below.

8 0
4 years ago
Please please help.........
Brums [2.3K]

Answer:

I think the working is actually unnecessary because of (x-c)=0 and if x is 5 (5-c)=0 c would be 5

7 0
3 years ago
PLEASE HELPPPPP!!!! (answer in decimal)
kakasveta [241]

Answer:

\approx 0.482659

Step-by-step explanation:

The experimental probability is the chance of an event happening based on data, or rather the experiment results, and not on a theoretical calculation. In essence, a theoretical calculation can be described by the following formula:

\frac{desired}{total}

However, the experimental probability can be described with the following formula:

\frac{number\ of\ desired\ outcomes}{number\ of \ trials}

The number of trials is the sum of the number of outcomes. In this case, the desired outcome is tails. Therefore, the experimental probability can be described using the following formula:

\frac{tails}{total}

One can also rewrite the formula as the following. This is because the total is the sum of the number of the two outcomes:

\frac{tails}{heads+tails}

Substitute,

\frac{167}{167+179}

Simplify,

\frac{167}{346}

Rewrite as a decimal:

\approx 0.482659

4 0
3 years ago
Suppose a simple random sample of size n is drawn from a large population with mean mu and standard deviation sigma. The samplin
Sidana [21]

Answer:

X \sim N(\mu,\sigma)  

Where \mu the mean and \sigma  the deviation

Since the distribution for X is normal then we can conclude that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

\mu_{\bar X} = \mu

\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}

Step-by-step explanation:

Previous concepts

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".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

X \sim N(\mu,\sigma)  

Where \mu the mean and \sigma  the deviation

Since the distribution for X is normal then we can conclude that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

\mu_{\bar X} = \mu

\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}

6 0
3 years ago
Read 2 more answers
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