1. • Statistical inference is the process of reaching
conclusions about characteristics of an entire population
using data from a subset, or sample, of that Population.
• The process of making guesses about the truth about a
population parameter from a sample statistic.
• To Draw the conclusion about the population parameter
by using sample information.
• Parameter ? u
• Statistic ? X-bar , s, regression coefficient
STATISTICAL INFERENCE
3. Problem 1st: C.I for single mean
• The masses, in grams, of thirteen ball bearings taken at
random from a batch are
•
Calculate a 95% C.I for the mean mass of the population.
Solution:
Mean=
σ 𝒙
𝒏
=
𝟑𝟏𝟒.𝟕
𝟏𝟑
= 𝟐𝟒. 𝟐𝟏
𝒔 =
σ(𝑥𝑖 − ഥ
𝒙)𝟐
𝒏 − 𝟏
= 𝟑. 𝟏𝟐 = 𝟏. 𝟕𝟕 ,
𝒗 = 𝒏 − 𝟏 = 𝟏𝟑 − 𝟏 = 𝟏𝟐
21.4 23.1 25.9 23.4 24.5 25.0 25.0 22.5 26.9 26.4 25.8 23.2 21.9
9. Problem 2nd:
• Given that
• ҧ
𝑥1 = 75, 𝑛1 = 9, σ 𝑥1𝑖 − ҧ
𝑥1
2
= 1482;
• ҧ
𝑥2 = 60, 𝑛2 = 16, σ 𝑥2𝑗 − ҧ
𝑥2
2
= 1830;
And assuming that the two samples were randomly
selected from population in which equal variance, calculate
CI for 80%
12. Assignment :
Consider the data: Find Confidence interval for two mean in case of 80% and for 95%
1st
sample
x1
10 14 16 8 15 17 19 21 13
2nd
sample
X2
12 13 19 15 8 15 16 18 8