Answer:
b. As the sample size â increases, the variance of decreases. â So, the distribution of becomes highly concentrated around.
Step-by-step explanation:
Let : Yi,.... Yn are = i.i.d are random variables. The probability density of the distribution varies along with the sample size. When the sample size changes, the probability density of 
also changes.
The probability distribution may be defined as the statistical expression which defines the likelihood of any outcome for the discrete random variable and it can be opposed to the continuous random variable.
In the context, when the size of the sample of the distribution size increases, it causes a decrease in the variance and so the distribution becomes highly concentrated around.
Answer: Mean get decreased and median remains same.
Step-by-step explanation:
Given: The low scores of all 4 friends are all between 90 and 100, except for Angie, whose low score is 80.
i.e. Angie is an outlier.
[An outlier is an extreme value which lies far from the other data values.]
Angie then golfs a great round and has a new low score of 75.
i.e. more lower value.
Since Mean gets effected by an outlier but median remains same.
Here, value of new outlier(75) is less than the previous one (80), so mean score will get decreased, where as median (middle most value in ordered data) remains the same.
Answer For the First One:
D, 51.3%
Step-by-step explanation:
The total number of students that ordered popcorn was 80 and 80 is 51.3% of 156 (the total number of students)!
Answer For the Second One:
C, It was reflected over the X-axis
Explanation:
If you just flip the DEF backwards over the x-axis it makes the GHI shape!
Hope this helps! :)
1q+2x-1 liner #1 liner # is 18% one
