If the number of samples is increased, this actually leads
to a reduction in error of the distribution. This is because of the
relationship between variation and sample size which has the formula of:
σx = σ / sqrt (n)
So from the formula we can actually see that the variation
and sample size is inversely proportional.
Which means that increasing the sample size results in a
reduction of variation.
Answer:
It will have less variation
Answer:
There is no basis for comparison because the effect of the other variables that are not being studied are not minimized
Step-by-step explanation:
The rate at which each type of ball bounce are;
Tennis balls;
The height to which the ball is must rebounds ≈ 111 cm
The height from which the ball is dropped = 200 cm
Surface = Steel plate
Basketballs;
The height to which the ball must rebounds ≈ 5.35 inches
The height from which the ball is dropped = 72 inches
Surface = Wooden floor
Squash balls
The height to which the ball must rebounds ≈ 29.5 inches
The height from which the ball is dropped = 100 inches
Steel plate at 70°
Therefore, given that the experimental are performed with different variables of height from which each type of ball is dropped, the surface to which the ball is dropped, the angle of the surface to which the ball is dropped, there is no controlled variable to provide a basis for comparison
Rational numbers can be written as a fraction
can be terminating or repeating decimal (terminating means a decimal that stops ex 5.873)
so 50.1 repeating is a rational number
<h3>
Answer: 3/5</h3>
Explanation:
P(B/A) is the shorthand way of saying "what is P(B) if we are 100% certain that event A has occured?"
Because events A and B are independent, they do not affect one another. The fact that A happens doesn't change P(B) at all.
Therefore, P(B) = P(B/A) when A & B are independent events.
Similarly, P(A) = P(A/B) when the two events are independent.
<span>the answer is 7.6196875. </span>
