Answer:
a.is approximately normal because of the central limit theorem.
Step-by-step explanation:
The central limit theorem states that if we have a population with mean μ and standard deviation σ and we take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed.
For any distribution if the number of samples n ≥ 30, the sample distribution will be approximately normal.
Since in our question, the sample of observations is 50, n = 50.
Since 50 > 30, then <u>our sample distribution will be approximately normal because of the central limit theorem.</u>
So, a is the answer.
Lol lolz referred as in pennies lol
<span>So we want to know how much ball bearings can be made with 5.24 cm^3 if one ball bearing has a diameter of 1 cm. We know that radius r=d/2=0.5cm So the volume V of one ball bearing is: V=(4/3)*pi*r^3 so V=(4/3)*3.14*(0.5)^3cm^3=0.524cm^3. Now we simply divide the volume of steel by the volume of the ball bearing: 5.24/0.524=10. So we can make 10 ball bearings from 5.24 cm^3 of steel</span>
Given: 7r+3r-8=8+2r
Simplify: 10r-8=8+2r
Addition: add 8 to each side: 10r=16+2r
Subtraction: Take 2r from each side: 8r=16
Division: Divide each side by 8 for answer: r=2
Answer: r=2
