Download presentation

Presentation is loading. Please wait.

Published byBraulio Bridgham Modified over 2 years ago

1
Analyzing Your Data

2
Was my difference caused by random factors?

3
Bob’s Data C1T1 00 02 12 13 13 13 24 34 54 65

4
Alice’s Data C2T2 12 12 12 23 23 23 23 34 34 34

5
Bob’s Data C1T1 00 02 12 13 13 13 24 34 54 65 C2T2 12 12 12 23 23 23 23 34 34 34 Alice’s Data

6
Bob’s DataAlice’s Data

7
Bob’s DataAlice’s Data C1 Standard Deviation: 2.05 T1 Standard Deviation: 1.41 C2 Standard Deviation: 0.82 T2 Standard Deviation: 0.82 Average Standard Deviation: 1.73 Average Standard Deviation: 0.82

8
Bob’s DataAlice’s Data Average Standard Deviation: 1.73 Average Standard Deviation: 0.82 1 / 1.73 =.58 Effect Size =.58 1 / 0.82 = 1.22 Effect Size = 1.22 Effect Size > 1 = GOOD!

9
t-Tests

10
C1T1 00 02 12 13 13 13 24 34 54 65 C2T2 12 12 12 23 23 23 23 34 34 34 Bob’s DataAlice’s Data http://vassarstats.net/tu.html For Alice’s Data For Bob’s Data

11
p = probability that your difference was due to random factors!

12
Bob’s DataAlice’s Data http://vassarstats.net/tu.html p =.22.22 >.05 (22% probability that Bob’s results are due to chance) p =.01.01 <.05 (1% probability that Alice’s results are due to chance)

13
Thank You & Happy Analyses!

Similar presentations

OK

STA 2023 Section 5.4 Sampling Distributions and the Central Limit Theorem.

STA 2023 Section 5.4 Sampling Distributions and the Central Limit Theorem.

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google