Answer:
As the sample size increases, the variability decreases.
Step-by-step explanation:
Variability is the measure of actual entries from mean. The less the deviations the less would be the variance.
For a sample of size n, we have by central limit theorem the mean of sample follows a normal distribution for random samples of large size.
X bar will have std deviation as
where s is the square root of variance of sample
Thus we find the variability denoted by std deviation is inversely proportion of square root of sample size.
Hence as sample size increases, std error decreases.
As the sample size increases, the variability decreases.
Answer:
Step-by-step explanation:
Given
Required
Express as a radical
Split
So:
This gives:
Step-by-step explanation:
Let us take a nominal square of area 25 cm².
- It's length of one of it's sides will be √25 = 5 cm².
- It's perimeter will be 5*4 = 20 cm.
So, in this question, we can say that:-
a. The length of one of its sides will be <u>less than 5 cm</u><u>.</u>
b. Its perimeter will be <u>less than 20 cm.</u>
Hope it helps :)
Answer:
64 ×
Step-by-step explanation:
(8 × 10³)² = (8 × 10³)(8 × 10³)
= 8 × 10³ × 8 × 10³
= 64 ×