Probability and Statistics Final Exam
study guide (containing 50 terms)
Data –
-Are collections of observations
Statistics –
-Is the science of planning studies and experiments, obtaining data, and then
organizing, summarizing, presenting, analyzing, interpreting, and drawing
conclusions based on the data.
Census –
-Is the collection of data from every member of the population.
Sample –
-Is the complete collection of all individuals to be studied.
Context –
-Affects the statistical analysis that should be used.
Source Data –
-Consider the source and whether that source is likely to be objective or there is
incentive to be biased.
Sampling Method –
-Is it representable from the entire population.
Voluntarily response sample –
-The respondents themselves decide whether to be included.
Conclusions –
-Carefully avoid making statements not justified by the statistical analysis.
Correlation and Cause
, Probability and Statistics Final Exam
study guide (containing 50 terms)
Practical Implications –
-Identify any practical implications of the results. It is possible that the data have.
Practical significance.
Parameter –
-Is a numerical measurement describing some characteristic of a population.
Statistic –
-Is a numerical measurement describing some characteristics of a sample
Quantitative –
-Numbers representing counts or measurements
Qualitative/ Categorical –
-Consist of names or labels that are not numbers representing counts or
measurements
Discrete Data –
-Result when the number of possible values is either a finite number or a
countable number.
Continuous Data –
-Result from infinitely many possible value that correspond to some continuous
scale.
Types of Sample –
-Observational Study
Simple Random Sample
Random Sample
Experiment
Observational Study –
-We observe, but we do not attempt to modify the subjects being studied.
study guide (containing 50 terms)
Data –
-Are collections of observations
Statistics –
-Is the science of planning studies and experiments, obtaining data, and then
organizing, summarizing, presenting, analyzing, interpreting, and drawing
conclusions based on the data.
Census –
-Is the collection of data from every member of the population.
Sample –
-Is the complete collection of all individuals to be studied.
Context –
-Affects the statistical analysis that should be used.
Source Data –
-Consider the source and whether that source is likely to be objective or there is
incentive to be biased.
Sampling Method –
-Is it representable from the entire population.
Voluntarily response sample –
-The respondents themselves decide whether to be included.
Conclusions –
-Carefully avoid making statements not justified by the statistical analysis.
Correlation and Cause
, Probability and Statistics Final Exam
study guide (containing 50 terms)
Practical Implications –
-Identify any practical implications of the results. It is possible that the data have.
Practical significance.
Parameter –
-Is a numerical measurement describing some characteristic of a population.
Statistic –
-Is a numerical measurement describing some characteristics of a sample
Quantitative –
-Numbers representing counts or measurements
Qualitative/ Categorical –
-Consist of names or labels that are not numbers representing counts or
measurements
Discrete Data –
-Result when the number of possible values is either a finite number or a
countable number.
Continuous Data –
-Result from infinitely many possible value that correspond to some continuous
scale.
Types of Sample –
-Observational Study
Simple Random Sample
Random Sample
Experiment
Observational Study –
-We observe, but we do not attempt to modify the subjects being studied.
