Can someone help me figure out this
2 answers:
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Answer:
(E) The bias will decrease and the variance will decrease.
Step-by-step explanation:
Given that researchers working the mean weight of a random sample of 800 carry-on bags to e the airline.
We have to find out the effect of increasing the sample size on variance and bias.
We know as per central limit theorem, sample mean follows a normal distribution with mean = sample mean
and std deviation of sample mean = std error =
Thus std error the square root of variance is inversely proportional to the square root of sample size.
Also whenever we increase sample size the chances of bias would decrease as the sample size becomes larger
So correct answer is both bias and variation will decrease.
(E) The bias will decrease and the variance will decrease.
Answer:
<h3>The answer is 0.5 m/s²</h3>Step-by-step explanation:
To find the acceleration of an object given it's mass and the force acting on it can be found by using the formula
From the question
force = 5 N
mass = 10 kg
So we have
We have the final answer as
<h3>0.5 m/s²</h3>Hope this helps you