What is the 95% CI for data set 2? data points - 10, 20, 30

n = 3

mean = 20

s = 10

SEM = 5.77

2SEM = 11.54

20 ± 11.32

Explanation: Confidence Interval (CI) is an interval of values where there is a % certainty the true mean value lies in. For example, a 95% CI means there is a 95% certainty the true mean value lies in the interval.

For the data set 2, z-value for 95% confidence interval is z = 1.96

Formula to calculate CI is

x ±

where

x is mean

z is z-value

s is standard deviation

n is the sample number

Then:

20 ±

20 ±

20 ±

20 ± 11.32

The 95% CI is 20 ± 11.32, which means there is a 95% certainty the true value is between 8.68 and 31.32.

you didn't give any options but heres what i can tell you: an inference is likely to change based on additional observations. the latter is something that you have seen or sensed using your sensory organs while the former is like a conclusion out from what you have observed.

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