That's not a squre
anyway, we use ratios
base:person to corner=28:8
height to height=x:5
so
28/8=x/5 becasue same ratio
28/8=14/4=7/2
7/2=x/5
multiply
35/10=2x/10
35=2x
divide 2
17.5=x
x=17.5 feet
The best prediction of the total number of tagged salmon in a sample of 2000 is 100.
<h3><u>Predictions</u></h3>
To determine what is the best prediction of the total number of tagged salmon in a sample of 2000, the following calculation must be performed:
- 800 = 40
- 2000 = X
- 2000 x 40 / 800 = X
- 80000 / 800 = X
- 100 = X
Therefore, the best prediction of the total number of tagged salmon in a sample of 2000 is 100.
Learn more about predictions in brainly.com/question/18152997
Answer:
A) 200 in²
Step-by-step explanation:
Height of the front rectangle
sqrt(6² + 6²)
6sqrt(2)
3 rectangles + 2 triangles
(6×8) + (6×8) + (8×6sqrt(2)) + (2×½×6×6)
132 + 48sqrt(2)
199.8822509939
Rounding numbers means you change the number to a closer, easier number. For example if you want to round 56 to the nearest tenth, it would round to 60.
Estimating numbers is when you guess numbers. For example, if you want to estimate the measure used to measure a bed, i would estimate feet.
I hope this helped:))
4,034.06 ,5,965.94 are confidence interval for the population average wages at the factory.
What is confidence interval estimation?
Your estimate's mean plus and minus the range of that estimate's fluctuation is called a confidence interval.
If you repeat your test, you can expect your estimate to fall between these numbers with a reasonable degree of certainty. Another term for probability in statistics is confidence.
The formula for confidence interval estimation is:
μ = M ± Z(sM)
where:
M = sample mean
Z = Z statistic determined by confidence level
sM = standard error = √(s2/n)
M = 50000
Z = 2.58
sM = √(30002/64) = 375
μ = M ± Z(sM)
μ = 50000 ± 2.58*375
μ = 50000 ± 965.94
μ = 4,034.06 ,5,965.94
Learn more about confidence interval
brainly.com/question/24131141
#SPJ1
