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3 years ago

Answer plz thanks !!!!!

Mathematics

2 answers:

svp [43]3 years ago

5 0

Answer:

14 can u mark me brainliest pls

Step-by-step explanation:

MariettaO [177]3 years ago

5 0

It’s not 14 it’s -26

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Since it's 4 questions ill give yall 50 points to whoever answers. <

CaHeK987 [17]

Step-by-step Solutions:

Question 7:

√9
=> √3 × 3
=> 3

Question 8:

√64
=> √8 × 8
=> 8

Question 9:

√4
=> √2 × 2
=> 2

Question 10:

√144
=> √12 × 12
=> 12

6 0

2 years ago

Read 2 more answers

The radius of circle C is 6 units and the measure of central angle ACB is I radians. What is the approximate area of the entire

VARVARA [1.3K]

Answer:

Step-by-step explanation:

see attachment

3 0

3 years ago

Read 2 more answers

What is 5 x 2/9 as a fraction.

Crazy boy [7]

Answer:

10/9

Step-by-step explanation:

So first you have to convert 5 to a fraction. 5/1 is equal to 5 so that means that 5/1 can work. 5/1x2/9=10/9 because all you have to do is multiply the numerator with the numerator and the denominator with the denominator.

Hope this helps

3 0

3 years ago

Read 2 more answers

L 3.1.4 Quiz: Limits Practice Consider the following graph of y= f(x): n 2 2 0 What is the lim f(x)? A. 1 O B. 2 O c. C. - 2 D.

loris [4]

Answer:

I would appreciate if my answer is chosen as a brainliest answer

5 0

2 years ago

The variance can never bea.zerob.larger than the standard deviationc.negatived.smaller than the standard deviation

MrRa [10]

Answer:

c.negative

True, by definition since the variance take in count the differences around the mean squared, then we can't have a negative value for a sum of square values.

Step-by-step explanation:

We need to remember that the variance is a measure of dispersion for a dataset respect to a measure of central tendency called the mean. The mean is defined as:

$\bar x = \frac{\sum_{i=1}^n X_i}{n}$

And the population mean is given by:

$\mu= \frac{\sum_{i=1}^n X_i}{N}$

The population variance is defined by:

$\sigma^2 = \frac{\sum_{i=1}^n (X_i -\mu)^2}{N}$

And the sample variance is defined as:

$s^2= \frac{\sum_{i=1}^n (X_i -\bar x)}{n-1}$

Now if we analyze the options we have this:

a.zero

False, if all the values are the same then the mean would be the same to the values and the difference between each value and the mean would 0 and indeed the variance would be 0.

b.larger than the standard deviation

False, if the population standard deviation is $\sigma=2$ then the variance would be $\sigma^2 = 4$ and as we can see is higher than the standard deviation

c.negative

True, by definition since the variance take in count the differences around the mean squared, then we can't have a negative value for a sum of square values.

d.smaller than the standard deviation

False, if the population standard deviation is $\sigma=0.1$ then the variance would be $\sigma^2 = 0.01$ and as we can see is lower than the standard deviation

7 0

3 years ago