The mean is the average of a set of numbers.
So if the remaining 40% of students score 100 points, and the 60% score like 50 points, then the mean would still be 70 points because of the 40% of students that scored super high.
So yes, it can be true.
For a sample size of 20 players, 68% of the sample means fall within 19.32 and 20.98
<h3>What is a sample size?</h3>
The sample size is a term used in market research for defining the number of subjects included in a sample size. By sample size, we understand a group of subjects that are selected from the general population and is considered a representative of the real population for that specific study.
Empirical rule states that for a normal distribution, 68% of the values are within one standard deviation from the mean, 95% of the values are within two standard deviation from the mean and 99.7% of the values are within three standard deviation from the mean.
For a population mean of 20.15 and a standard deviation of 3.7
68% are within μ ± σ/√n,
hence,
68% = 20.15 ± 3.7/√20 = (19.32, 20.98)
For a sample size of 20 players, 68% of the sample means fall within 19.32 and 20.98.
To learn more about sample size from the given link:
brainly.com/question/22927560
#SPJ4
Answer:
- 3, 9, 25
Step-by-step explanation:
To find the required terms of the sequence substitute n = 2, 5, 9 into the given rule, that is
= - 7 + (2 - 1)4 = - 7 + (1 × 4) = - 7 + 4 = - 3
= - 7 + (5 - 1)4 = - 7 + (4 × 4) = - 7 + 16 = 9
= - 7 + (9 - 1)4 = - 7 + (8 × 4) = - 7 + 32 = 25
The answer is 35 bc it has pointed on the dot
As a product it is 6 cubic inches. As exponential form it is 6^2