Distribution of sample mean and sample variance; t, chi-squared and F distributions; summarizing data by statistics and graphs; estimation theory for single samples: sufficiency, efficiency, consistency, method of moments, maximum likelihood; hypothesis testing: likelihood ratio test; confidence intervals.

Prerequisites: PSTAT 120A with a grade of C or better.

4

Units

Optional

Grading

1, 2

Passtime

None

Level Limit

Letters and science

College
Unlocks CMPSC 225 PSTAT 175 PSTAT 262DS ECE 205 PSTAT 123 PSTAT 120C
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Lecture

BUCHN1920
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08:00 AM - 09:15 AM
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Sections

ILP 4101
W
08:00 AM - 08:50 AM
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ILP 3205
W
09:00 AM - 09:50 AM
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ILP 4211
W
10:00 AM - 10:50 AM
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ILP 3310
M
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Winter 2024 . Wainwright B
BUCHN1940
M W
12:30 PM - 13:45 PM
Winter 2024 . Wainwright B
LSB 1001
M W
14:00 PM - 15:15 PM
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PSTAT 120B Coburn K M Spring 2024 Total: 127
PSTAT 120B Ravat U V Spring 2024 Total: 255
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PSTAT 120B
0 / 150 Enrolled
Probability and Statistics
Katie Coburn 3.4
T R
17:00 PM - 18:15 PM
40.0% A
PSTAT 120B
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Probability and Statistics
Uma Ravat 2.2
W F
12:30 PM - 13:45 PM
40.0% A
PSTAT 115
0 / 75 Enrolled
Introduction to Bayesian Data Analysis
Laura Baracaldo 1.8
T R
15:30 PM - 16:45 PM
45.6% A
PSTAT 120A
0 / 100 Enrolled
Probability and Statistics
Brian Wainwright 3.0
M W
11:00 AM - 12:15 PM
30.9% A
PSTAT 120A
0 / 300 Enrolled
Probability and Statistics
Brian Wainwright 3.0
M W
14:00 PM - 15:15 PM
30.9% A
PSTAT 122
0 / 125 Enrolled
Design and Analysis of Experiments
Chi P
M W
08:00 AM - 09:15 AM
45.4% A
PSTAT 122
0 / 100 Enrolled
Design and Analysis of Experiments
Chi P
M W
09:30 AM - 10:45 AM
45.4% A
PSTAT 126
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Regression Analysis
Abuzaid A H
T R
11:00 AM - 12:15 PM
40.0% A
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