INTRO TO STATISTICS 1
INTRO TO STATISTICS 1 STA 2023
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This 6 page Class Notes was uploaded by Golden Bernhard on Friday September 18, 2015. The Class Notes belongs to STA 2023 at University of Florida taught by Staff in Fall. Since its upload, it has received 14 views. For similar materials see /class/206584/sta-2023-university-of-florida in Statistics at University of Florida.
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Date Created: 09/18/15
Review of Chapters 17 Chapter 1 Introduction Concepts reviewed statistics data population sample parameter statistic design descriptive statistics and inference Statistics is a eld of study that deals With methods for producing and analyzing data Data the information we gather With experiments and surveys Statistics involves three main aspects 1 Design 2 Description 3 Inference All these three aspects have been already covered by STA 2023 Design refers to planning how to obtain the data see chapter 4 Description refers to exploring and summarizing patterns in the data see chapter 2 Inference refers to making decisions or predictions based on the data see chapters 7 amp 8 Populations and Samples The subjects are entities that we measure in a study people individuals schools countries days The population is the set of all subjects A sample is a part of the population Very important for statistical inference random sampling each subject in the population has the same chance of being included in that sample We distinguish between Stan39s tics and parameters 0 Parameter is a numerical summary of the population 0 Statistic is a numerical summary of a sample taken om the population QuestionExample In a University of Wisconsin study about alcohol abuse among students 100 of the 40858 members of the student body in Madison were sampled and asked to complete a questionnaire One question asked was On how many days in the past week did you consume at least one alcoholic drink Identify the population sample For the 100 students sampled 29 said 0 What is 29 a statistic or a parameter Is this study an example of random sampling Chapter 2 Summarizing Data or Descriptive Statistics Concepts reviewed categorical or quantitative variables discrete and continuous variables pie chart bar graph dot plot stemandleaf plot histogram The characteristics of interest that we measure are called variables because they vary om subject to subject Types of variables Categorical observations fall into one of a set of categories nominal ordinal e g state of residence marital status gender occupation Quantitative take numerical values It can be discrete or continuous discrete if the possible values are integers continuous if the values form an interval eg age height no of people voting for democrats no of good bolts in a lot Exercise Are the following data quantitative or categorical l Attitude towards legalization of marijuana favor neutral opposes 2 Scholastic Aptitude Test Score 200800 range for scores 3 Years of school completed 0 l 2 3 4 Employment Status employed unemployed 5 Crime rate 50 per 1000 etc 6 Population growth rate in percentages We have 2 types of summaries of the data 1 Graphical 2 Numerical l Graphical methods Categorical pie charts and bar graphs Quantitative histograms stem and leaf plot dot plot and box plot Common shapes for categorical or for quantitative mound shape bell shaped symmetric or unimodal bimodal
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