Density is the measurement of the amount of mass per unit of volume.
In this case we should calculate the density of prairie dog burrows on a square field. This is a surface charge density.It is defined as the total amount of units q per km^2.
to calculate<span> the </span>density of prairie dog burrows, we should divide the total number of prairie dog burrows in the field <span>by the size of the field. Thus,
</span><span>
</span>prairie dog <span>burrows in square kilometers= number of dog burrows/ size of the field
size of the field=0.9*0.9=900*900=180000m^2
1980/180000</span><span> m^2= 0.011 dog burrows in square meter
11 dogs in square kilometer</span>
Answer:2x+30 =90
If the angle is 90° altogether
60=A 30=30
Step-by-step explanation:
2x+30 =90
-30 -30
2x=60
÷2. ÷2
x=30
2*30=60
60+30=90
60=A B=30
Answer:
0.05
Step-by-step explanation:
I turned the fractions into decimals. to do that your do exactly as it tells you!
4 divided by 5 = 0.8
so she has 0.8 ounces of juice (That not alot lol I would not be satisfied) now for how much she drank...
3 divided by 4 =0.75
0.80 - 0.75 = 0.05
She drank 0.05 ounces
Hope this helped! Please mark as brainliest! Thanks! If you need me to turn 0.05 in a fraction i can do that.
Answer:
0.6247
Step-by-step explanation:
The formula for calculating a Z-score is Z = (X - μ)/σ,
where x is the raw score
μ is the population mean
σ is the population standard deviation.
From the question,
μ = 51, σ = 10. We are to find P(36 ≤ X ≤ 56)
Step 1
Find the Probability of X ≤ 36
μ = 51, σ = 10
Z = (X - μ)/σ
Z = 36 - 51/ 10
Z = -15/10
Z = -1.5
We find the Probability of Z = -1.5 from Z-Table
P(X <36) = P(X = 36) = P(Z = -1.5)
= 0.066807
Step 2
Find the Probability of X ≤ 56
μ = 51, σ = 10
Z = (X - μ)/σ
Z = 56 - 51/ 10
Z = 5/10
Z = 0.5
We find the Probability of Z = 0.5 from Z-Table:
P(X < 56) = P(X = 56) = P(Z = 0.5)= 0.69146
Step 3
Find P(36 ≤ X ≤ 56)
P(36 ≤ X ≤ 56) = P(X ≤ 56) - P(X ≤ 36)
= P( Z = 0.5) - P(Z = -1.5)
= 0.69146 - 0.066807
= 0.624653
Approximately to 4 decimal places , P(36 ≤ X ≤ 56) = 0.6247
