# Class Notes for 01:202:302 at Rutgers University

- 12 Results
- About RUTGERS

## 01:202:302 Lecture Notes - Lecture 7: Confidence Interval, Homicide, Standard Deviation

6

Help out our researcher and calculate the confidence interval for some of the professor"s data. First write down what information is provided by the pr

View Document## 01:202:302 Lecture Notes - Lecture 13: Null Hypothesis

9

H1= there is a correlation between the age of the respondent and the length of the traic stop. When the age of the respondent is increasing, the length

View Document## 01:202:302 Lecture Notes - Lecture 11: John Tukey, Null Hypothesis, Confidence Interval

13

There are 4 variables in the spss datafile. Using jdcc dataset, decide what variable you will use, and then; (a) set ho and h1, (b) run the analysis, (

View Document## 01:202:302 Lecture Notes - Lecture 2: Cumulative Frequency Analysis

8

Class activities: a new research assistant has been tasked with the chore of completing a table to assist in the organization of the data. He has been

View Document## 01:202:302 Lecture Notes - Lecture 1: Categorical Variable, 90125

7

Chapter 2: dr. smith has concluded the initial portion of data collection on her study into rural crime in america. She has placed the task of identify

View Document## 01:202:302 Lecture Notes - Lecture 9: Null Hypothesis, Statistical Hypothesis Testing, Test Statistic

10

Class activity 9 (hypothesis testing using two categorical variables) . Describe when we should use chi2 test by providing an example? (think about lev

View Document## 01:202:302 Lecture Notes - Lecture 8: Statistical Parameter, Statistic, Fide

12

Anytime a sample statistics is not equal to population parameter, there are two possible explanation of this diference. First, it can be just random lu

View Document## 01:202:302 Lecture Notes - Lecture 6: Statistical Population, Unimodality, Statistic

13

Class activities: professor trelawney"s research assistant is hard at work again. Professor has asked the assistant to begin some basic inferential ana

View Document