Answer:
The standard deviation of the sampling distribution of the sample mean score for a random sample of 36 students is 1.
Step-by-step explanation:
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.
In this problem, we have that:
Then, by the Central Limit Theorem:
The standard deviation of the sampling distribution of the sample mean score for a random sample of 36 students is 1.
Answer:
-3
Step-by-step explanation:
-8+4(1+5n)=6n-14
- multiply 4 with 1 and 5n ➡ -8n+4+20n = 6n-14
- reorder left side of equation ➡ 12n+4=6n-14
- put like variables to same side ➡12n -6n = -14-4
- do the subtraction ➡ 6n = -18
- divide both sides of equation by 6
- n = -3
Answer:
9 inches
Step-by-step explanation:
We see all sides are the same length:
4x+3=3(2x-5)
4x+3=6x-15
18=2x
x=9
Therefore 9 inches.
Answer:
simplify the equation to solve it, remove unnessecary parentheses and spaces.