# Textbook Notes for Statistics at University of Pittsburgh (U PITT)

• 28 Results

PITTSTAT 1100AllFall

## STAT 1100 Chapter Notes - Chapter 10: Statistical Hypothesis Testing, Decision Rule, 2Degrees

OC4393894 Page
5 May 2015
15
Estimation and hypothesis testing for two population parameters. In this chapter we are going to study two cases for con - dence intervals and hypothes
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PITTSTAT 1100AllFall

## STAT 1100 Chapter Notes - Chapter 15: Decision Rule, Arj, Statistical Hypothesis Testing

OC4393899 Page
5 May 2015
31
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PITTSTAT 1100Sarah QuesenSpring

## STAT 1100 Chapter Notes - Chapter 2: Frequency Distribution, Univariate, Bar Chart

OC12289222 Page
15 Feb 2017
0
Section 1 types of data and information. Variable: some characteristic of a population or sample. 1/9/17: represent variables using uppercase letters s
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PITTSTAT 1100Sarah QuesenSpring

## STAT 1100 Chapter Notes - Chapter 6: Cvent, Mutual Exclusivity, Sample Space

OC12289223 Page
15 Feb 2017
0
Section 1 assigning probability to events. 2/10/17: random experiment: an action or process that leads to one of several possible outcomes, first step
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PITTSTAT 1100Sarah QuesenSpring

## STAT 1100 Chapter Notes - Chapter 4: Scatter Plot, Covariance, Unimodality

OC12289224 Page
15 Feb 2017
0
Section 1 measures of central location. Mean: computed by summing the observations and dividing by the number of observations. Sample: n = sample size,
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PITTSTAT 1100Sarah QuesenSpring

## STAT 1100 Chapter 7: Chpt. 7 - Random Variables and Discrete Probability Distributions

OC12289223 Page
16 Feb 2017
0
Chapter 7: random variables and discrete probability. Section 1 random variables and probability distributions. Random variable: a function or rule tha
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PITTSTAT 1221Bodenschatz CarlSpring

## STAT 1221 Chapter Notes - Chapter 6: Microsoft Onenote

Devin Dubos5 Page
16 Feb 2017
1
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PITTSTAT 1100Sarah QuesenSpring

## STAT 1100 Chapter Notes - Chapter 5: Sampling Error, Simple Random Sample, Statistical Inference

OC12289223 Page
15 Feb 2017
0
Section 1 methods of collecting data. Observational: obtaining data by direct observation: disadvantage: it is difficult to produce useful information
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PITTSTAT 1100Sarah QuesenSpring

## STAT 1100 Chapter Notes - Chapter 9: Statistical Inference, Central Limit Theorem, Sampling Distribution

OC12289222 Page
23 Apr 2017
0
Section 1 sampling distribution of the mean: sampling distribution: created by sampling, 1. Draw samples of the same size from a population, calculate
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PITTSTAT 1100Sarah QuesenSpring

## STAT 1100 Chapter Notes - Chapter 10: Sampling Error, Confidence Interval, Standard Deviation

OC12289222 Page
23 Apr 2017
0
Notes: the objective of estimation is to determine the approximate value of a population parameter. 4/12/17 on the basis of a sample statistic: once th
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PITTSTAT 1221Bodenschatz CarlSpring

## STAT 1221 Chapter Notes - Chapter 7: Microsoft Onenote

Devin Dubos4 Page
16 Feb 2017
3
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PITTSTAT 1221Bodenschatz CarlSpring

## STAT 1221 Chapter Notes - Chapter 5: Microsoft Onenote

Devin Dubos7 Page
16 Feb 2017
0
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