Answer:
The distribution of the sample data will approach a normal distribution as the sample size increases.
Step-by-step explanation:
Central limit theorem states that the mean of all samples from the same population will be almost equal to the mean of the population, if the large sample size from a population, is given with a finite level of variance.
So, here Option C is not correct conclusion of central limit theorem -The distribution of the sample data will approach a normal distribution as the sample size increases.
We can say that the average of sample mean tends to be normal but not the sample data.
It will take 4 days in all to eat all of the raisins because if you eat 1/8 of raisins every day for 4 days that’s 4x1/8 which would equal 4/8, and 4/8 is equal to 1/2. So you have your answer :)
Answer:
Step-by-step explanation:
<u><em># 21.</em></u>
÷ ( - 0.35 ) = - ÷ = - ÷ = - × = - <em>(B).</em>
<u><em># 22.</em></u>
( - ) ÷ ( - 2.5 )
= = 3.5
= = = 9.75
( 3.5 - 9.75 ) ÷ ( - 2.5 ) = ( - 6.25 ) ÷ ( - 2.5 ) = 2.5 <em>(D).</em>
Answer:
Please mark it as the brainliest...
Answer:
X = 3.26 and Y = 0.65
Step-by-step explanation:
you solve using substitution. I'm not gonna make it that easy for u