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gavmur [86]
3 years ago
11

6.

Mathematics
2 answers:
Nimfa-mama [501]3 years ago
5 0

Let's call our number <em>x</em>.

So we can setup the equation x² = 100.

To solve this equation, we square root both sides.

So we have x = ±10.

Always use plus or minus when square rooting both sides

of an equation so our answer is not only 10, it's also -10.

Annette [7]3 years ago
5 0

Answer:

the answer is 3.162

Step-by-step explanation:

You might be interested in
9 over 16 times x over 12
telo118 [61]

Answer:

x=6.75

Step-by-step explanation:

9/16x x/12

cross multiply

16 times x equals 16x 9 times 12 equals 108

16x=108

16/16=108/16

x=6.75

pls brainliest hope this helps

7 0
3 years ago
Read 2 more answers
What is the vertex of the function f(x) = |x - 2|– 3?
ELEN [110]

\displaystyle\bf x-2=0 =>\boxed{ x=2  \quad ; y=-3 }

3 0
3 years ago
I'm a bit lost on this question maybe someone can help me out​
Alborosie

Answer:

A

Step-by-step explanation:

11/4 hours on the first day

21/4 hours on the second

21-11=10

10/4 hours or 2 2/4

4 0
3 years ago
Read 2 more answers
Sam buys a new pair of shoes for $53.50 including tax. He lives in a state that has a 7% sales tax rate. What was the cost of th
kolezko [41]

Answer: $49.75

Step-by-step explanation:

$53.50 is with the added 7%.

we want to find what the price is without the 7%

take that $53.50 is 100%

1% - 53.50/100 = 0.535

7% - 0.535 x 7 = 3.745

$53.50 - 3.75 = $49.75

5 0
3 years ago
Read 2 more answers
Battery life for a hand-held computer is normally distrituted and has a population standard deviation of 8 hours. Suppose you ne
Anton [14]

Answer:

Sample size= 956

Step-by-step explanation:

Hello!

You need to construct an 80% CI for the average life of batteries. (hours)

The study variable is:

X: Lifespan of a battery.

X~N(μ; σ²)

The population standard devition isσ= 8

The interval to estimate the population mean follows the structure:

"Point estimator" ± "margin of error"

X[bar] ± Z_{1-\alpha /2}* (σ/√n)

X[bar] is the sample mean

Z_{1-\alpha /2}* (σ/√n) is the margin of error of the interval (d)

Using the margin of error you can calculate the sample size:

d= Z_{1-\alpha /2}* (σ/√n)

n= (σ* \frac{Z_{1-\alpha /2}}{d})²

n= (8*(\frac{1.283}{0.332} ))^2

n= 955.77 ≅ 956

I hope it helps!

7 0
4 years ago
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