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:
p = t * 12.5
Step-by-step explanation:
To find the relationship between hours of work and the pay, I divided the total paycheck given by the 25 hours of work, which got me what a 25th of that paycheck would be, which represents what you would earn in an hour with a flat rate.
312.50 / 25 = 12.5
Check:
12.5 * 25 (hours of work) = 312.50 (Given total paycheck)
That's how we know the pay per hour, which is the relationship between t and p.