Class Notes (1,100,000)
US (470,000)
NKU (40)
STA (10)
STA 205 (10)
Lecture 11

STA 205 Lecture 11: Packet 11 - Two Sample Inferences


Department
Statistics
Course Code
STA 205
Professor
Brooke Buckley
Lecture
11

This preview shows pages 1-3. to view the full 31 pages of the document.
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
Clicker question
1variable timewith symptoms
independent samples
NO way to match up
someone who treated a
migraine with medication
or acupuncture
2Compare on an individual
level

Only pages 1-3 are available for preview. Some parts have been intentionally blurred.

Packet 11: Two Sample Inferences for the Mean
After completing this material, you should be able to:
identify whether two samples are independent or dependent.
conduct a hypothesis test for the mean difference (µd) when dependent samples are taken.
calculate a confidence interval estimating the mean difference (µd) when dependent samples are taken.
conduct a hypothesis test for the difference in the means (µ1 - µ2) when independent samples are taken.
calculate confidence interval estimating the difference in the means 1 - µ2) when independent samples are taken.
To celebrate baseball’s Opening Day a baseball enthusiast wants to compare the mean batting average for the Cincinnati
Reds & the Philadelphia Phillies.
What variable will be recorded for the sampled players? Is the variable quantitative or categorical?
To make the comparison, he needs to gather 2016 batting averages from members of each team. This can be done using
one of the following two scenarios:
Scenario 1: The individual samples 5 players from the
Reds’ roster and records each player’s batting average.
Then, he samples 5 players from the Phillies’ roster and
records each player’s batting average.
Scenario 2: The individual randomly samples 5
positions in the batting line-up from 9 possible and
records the batting average for the player batting in
that position on each team.
In both sampling scenarios described, the sports enthusiast ends up with 5 batting averages for the Reds and 5 batting
averages for the Phillies. But, the way in which these samples were taken were fundamentally different. One scenario
employed the use of dependent (or paired) samples, while the other used independent samples. Let’s define these two
sampling techniques:
Dependent samples:
Independent samples:
Type of Samples:
Type of Samples:
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!

Only pages 1-3 are available for preview. Some parts have been intentionally blurred.

!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
You're Reading a Preview

Unlock to view full version