Answer:
c. normal probability distribution
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes 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:
By the Central Limit Theorem, it is a normal distribution, so option c.
Answer:
4
Step-by-step explanation:
4x+5+3x-2=31
7x+3=31
7x=28
x=4
13h\] p9.l6ewo8hi9kt85hu7g5yftgrftgy5h6uj7io909ikju6hygtrfefgthu6iko9iuj6hygtrfed
Answer:
Step-by-step explanation:
d
A) -3√288=-3√(144*2)=-3√144<span>√2=-3*12</span><span>√2=-36</span><span>√2
b) </span>5√320=5<span>√(64*5)=</span>5<span>√64</span><span>√5=5*8</span><span>√5=40</span><span>√5</span>