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3 years ago

How do you find the square root of 2809

2 answers:

4 0

If this is greater than the first part of the number called by the spectator (i.e., ignoring the last two digits), then the last digit of your answer is the lower of the two possible values. Otherwise the last digit is the higher value. For example if the number called is 2809, the square root could be either 53 or 57.

kotegsom [21]3 years ago

4 0

The answer is 53.

Because 53 x 53 = 2809

to see the steps on how to find the square root, check out this website. I would post them now but I gtg sorry.
http://www.factmonster.com/ipka/A0932229.html
^ there is the link to the steps on how to find it (:

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PLEASE HELP I THINK I DID THIS WRONG ( Best Answer = Brainliest)

Afina-wow [57]

1. 2/7x100=28.57%
2.3:7x100=42.85%
3.1/7x100=14.29%
4. 6/7x100=85.71%
5.0%
6.4/7x100=57.14%

Good luck!

7 0

4 years ago

A cognitive psychologist wants to know whether memory performance is changed by old age. She randomly selects 7 elderly individu

defon

Answer:

$z = \frac{418.7-465.6}{\frac{53.6}{\sqrt{7}}}= -2.340$

Now we can calculate the p value with the following probability

$p_v =2*P(z$

If we use the commonly significance level of 0.05 we see that the p value is lower than these values we can conclude that the true mean is different from the value of 465.6 at 5% of significance

Step-by-step explanation:

Data provided

$\bar X=418.7$ represent the mean score on the standardized memory test

$\sigma=53.6$ represent the population standard deviation

$n=7$ sample size

$\mu_o =465.6$ represent the value that we want to verify

z would represent the statistic

$p_v$ represent the p value

System of hypothesis

We are interested to check if the memory performance for elderly individuals differs from that of the general population (mean different from 465.6), the system of hypothesis are then:

Null hypothesis: $\mu = 465.6$

Alternative hypothesis: $\mu \neq 465.6$

Since we know the population deviation we can use the z statistic from the z test for the true mean:

$z =\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}$ (1)

Replacing the info given we got:

$z = \frac{418.7-465.6}{\frac{53.6}{\sqrt{7}}}= -2.340$

Now we can calculate the p value with the following probability

$p_v =2*P(z$

If we use the commonly significance level of 0.05 we see that the p value is lower than these values we can conclude that the true mean is different from the value of 465.6 at 5% of significance

6 0

4 years ago

Write an equation of the line in slope- intercept form

gavmur [86]

Answer:

$a)\ y=-\frac{1}{3}x$