Presentation on theme: "Chapter 1 Getting Started Understandable Statistics Ninth Edition"— Presentation transcript:
1Chapter 1 Getting Started Understandable Statistics Ninth Edition By Brase and BrasePrepared by Yixun ShiBloomsburg University of Pennsylvania
2What is Statistics? Collecting data Organizing data Analyzing data Interpreting data
3Individuals and Variables Individuals are people or objects included in the study.Variables are characteristics of the individual to be measured or observed.
4VariablesQuantitative Variable – The variable is numerical, so operations such as adding and averaging make sense.Qualitative Variable – The variable describes an individual through grouping or categorization.
5DataPopulation Data – The variable is part of every individual of interest.Sample Data – The variable is part of only some of the individuals of interest, i.e. of just a part of the population.
6Levels of MeasurementNominal – The data that consist of names, labels, or categories.Ordinal – The data can be ordered, but the differences between data values are meaningless.
7Levels of Measurement: Interval Interval – The data can be ordered and the differences between data values are meaningful.Ratio – The data can be ordered, differences and ratios are meaningful, and there is a meaningful zero value.
8Critical ThinkingReliable statistical conclusions require reliable data.When selecting a variable to measure, specify the process and requirement for the measurement.Pay attention to the measurement instrument and the level of measurement.Are the data from a sample or from the entire population?
9Two Branches of Statistics Descriptive Statistics: Organizing, summarizing, and graphing information from populations or samples.Inferential Statistics: Using information from a sample to draw conclusions about a population.
10Sampling From a Population Simple Random Sample of size nEach member of the population has an equal chance of being selected.Each sample of size n has an equal chance of being selected.
11Sampling Techniques Simple random sampling Inappropriate sampling (asking patrons in a mall to participate in a survey, soliciting volunteers in a newspaper ad to taste test a new snack food, etc)Systematic sampling
13Critical ThinkingSampling frame – a list of individuals from which a sample is selected.Undercoverage – resulting from omitting population members from the sample frame.Sampling error – difference between measurements from a sample and that from the population.Nonsampling error – result of poor sample design, sloppy data collection, faulty measuring instruments, bias in questionnaires, and so on.
14Guidelines For Planning a Statistical Study Identify individuals or objects of interest.Specify the variables.Determine if you will use the entire population. If not, determine an appropriate sampling methodDetermine a data collection plan, addressing privacy, ethics, and confidentiality if necessary.
15Guidelines For Planning a Statistical Study Collect data.Analyze the data using appropriate statistical methods.Note any concerns about the data and recommend any remedies for further studies.
16Census vs. SampleIn a census, measurements or observations are obtained from the entire population (uncommon).In a sample, measurements or observations are obtained from part of the population (common).
17Observational StudyMeasurements and observations are obtained in a way that does not change the response or variable being measured.
18Designed ExperimentsA treatment is applied to the individuals in the experiment in order to observe a potential effect on the variable being measuredDesigned experiments are used to pin down a cause-and-effect relationship.To measure the effect of a treatment, statisticians may break the individuals into treatment group and control group.
20SurveysCollecting data from respondents through interviews, phone conversations, internet polls, mail polls, etc…Non-response: Respondents cannot be contacted or refuse to answer.Voluntary response surveys: May be biased due to strong opinions held by those willing to participate.Survey results usually cannot pin down a cause-and-effect relationship.