Show:
An Overview of Statistics
Data Classification
Design of a Statistical Study/ Data Collection
Experimental Design
Sampling Techniques
100
The collection of all outcomes, responses, measurements, or counts that are of interest.
What is a POPULATION
100
Data that consists of attributes, labels, or nonnumerical entries.
What is QUALITATIVE DATA
100
The four types of data collection discussed in our text.
Observational Study Survey Simulation Experiment
100
This occurs when an experimenter cannot tell the difference between the effects of different factors on the variable.
What is CONFOUNDING VARIABLE
100
The count or measure of an entire population.
What is CENSUS
200
A numerical description of a sample characteristics.
What is a STATISTIC
200
The four levels of measurement.
Nominal, Ordinal, Interval, Ratio
200
The most appropriate method of data collection: A study of the effect of changing flight patterns on the number of airplane accidents.
What is SIMULATION
200
The idea that, in general, people act better when they know they are being watched.
What is HAWTHORNE EFFECT
200
Name 2 ways to conduct a Simple Random Sample.
Random Number Generator Pick Names from a hat Random Number Table
300
The branch of statistics that involves using a sample to draw conclusions about a population.
What is INFERENTIAL STATISTICS
300
The amount of money you have in a savings account could be zero dollars. In this case, the zero represents no money.
What is INHERENT ZERO
300
The most appropriate method of data collection: A study of how fourth graders solve a puzzle.
What is OBSERVATIONAL STUDY
300
This is used to control or minimize the placebo effect.
What is BLINDING
300
The easiest, cheapest and fastest way to sample that leads to the most biased and least representative data. This sample consists of only available members of the population.
What is CONVENIENCE SAMPLE
400
Identify the population and the sample: A survey of 1906 household in the United States found that 13% have a high definition of television.
Population: All U.S. households Sample: 1906 U.S. households surveyed.
400
Types of music played by a radio station is considered what level of measurement.
What is NOMINAL
400
A key element of this method of data collection is that a treatment is applied to part of a population and responses are observed.
What is EXPERIMENT
400
The three key elements of experimental design.
What is CONTROL, RANDOMIZATION, REPLICATION
400
The Randomized Block Design is similar to this sampling technique.
What is STRATIFIED SAMPLE
500
Parameter or Statistic: As of January 2007, 44% of the governors of the 50 states in the United States are Republicans
Parameter
500
The difference between Interval and Ratio levels of measurement.
Interval level of measurement: can be ordered and meaningful differences between data can be calculated. A zero represents a position on a scale. Ratio level of measurement: the zero entry is an inherent zero, one data value can be meaningfully expressed as a multiple of another.
500
Which form of data collection: A study of the ages of the 535 members of the U.S. Congress.
What is SURVEY
500
Subjects are paired up according to a similarity. One subject in the pair is randomly selected to receive one treatment while the other subject receives a different treatment.
What is MATCHED-PAIRS DESIGN
500
Compare and contrast: Cluster Samples vs. Stratified Samples
Cluster Samples: divide the population into groups and select all the members in one or more (but not all) of the clusters. Stratified Samples: the population is divided into two or more subsets that share similar characteristics, a sample is then randomly selected from each strata.