Answer:
Approximately normal
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean and standard deviation , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation .
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean and standard deviation
In this question:
As the sample size is above 30, even though the underlying distribution is right-skewed, the shape of the sampling distribution of the sample means will be approximately normal.
Answer:
Step-by-step explanation:
m∠1 = m∠2 {r ║s , so, corresponding angles are equal}
60 – 2x = 70 – 4x
4x - 2x = 70 -60
2x = 10
x = 10/2
x = 5
Answer:
37/8 (fraction) or 4.625 (decimal) or 4 5/8 (mixed number)
Step-by-step explanation:
Answer: $20.30
Step-by-step explanation:
First we must find Mary's total.
3kg × $9.90/kg = $29.70
She gave the cashier $50. So we subtract the total from that to determine the amount of cash or change she should get back.
$50 - $29.70 = $20.30