By the Central Limit Theorem, the best point estimate for the mean GPA for all residents of the local apartment complex is 1.7.
The Central Limit Theorem established 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:
The sample of 112 residents has a mean GPA of 1.7.
By the Central Limit Theorem, the best point estimate for the mean GPA for all residents of the local apartment complex is 1.7.
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Answer:
Step-by-step explanation:
The question reads much more complicatedly than the actual equation.
Sakura * x = Nanuto
412 x = 634 Divide by 412
x = 634/412
x = 1.54 times
The closest answer is 3/2 as far. 1.54 is just about 3/2.
1/15 as a decimal would be 0.6666666......
Or you can round that off to 0.67
There's a strong negative association between the two variables.
