Chapter 1 - Part 1
Chapter 1 - Part 2
Mixture of Chapter 1 and 2
Chapter 2
Chapter 2 - Part 2
100
The set of values collected from the variable from each of the elements that belong to the sample or population.
What is data?
100
A numerical value summarizing the sample data.
What is a statistic?
100
The extent to which data values for a particular variable differ from each other.
What is variability?
100
The numerical value that is exactly in the middle of each class.
What is the class midpoint?
100
The average found by adding all the values of the variable x (this sum of x values is symbolized Σx) and dividing the sum by the number of these values, n (the “sample size”).
What is the mean (arithmetic mean)?
200
The value of the variable associated with one element of a population or sample. This value may be a number, a word, or a symbol
What is a data value?
200
The kind of samples that are selected on the basis of being judged “typical.”
What are judgement samples?
200
The science of collecting, describing, and interpreting data.
What is statistics?
200
The difference between the upper and lower class boundaries of a class.
What is the class width?
200
The value of the data that occupies the middle position when the data are ranked in order according to size.
What is the median?
300
A quantitative variable that can assume a countable number of values.
What is a discrete variable?
300
A numerical value summarizing all the data of an entire population.
What is a parameter?
300
A characteristic of interest about each individual element of a population or sample.
What is a variable?
300
The pattern of variability displayed by using the frequency of each value of the variable.
What is a distribution?
300
The number exactly midway between the lowest–valued data L and the highest–valued data H.
What is the mid-range?
400
A planned activity whose results yield a set of data.
What is an experiment?
400
A collection, or set, of individuals, objects, or events whose properties are to be analyzed.
What is a population?
400
Graphs that show the amount of data belonging to each category as a proportionally sized rectangular area. The bars may or may not be separted due to non–sequential type (qualitative) data.
What is a bar graph?
400
The number of times the value x occurs in the sample.
What is the frequency?
400
The value of x that occurs most frequently.
What is the mode?
500
A population whose membership can or could be physically listed.
What is a finite population?
500
A population whose membership is unlimited.
What is an infinite population?
500
The rule describing the proportion of any distribution that lies within k standard deviations of the mean is at least 1 − 1/k^2 where k is any positive number greater than 1.
What is Chebyshev’s theorem?
500
The rule describing a normal distribution: within one standard deviation of the mean there will be approximately 68% of the data; within two standard deviations of the mean there will be approximately 95% of the data; and within three standard deviations of the mean there will be approximately 99.7% of the data.
What is the empirical rule?
500
The mean of the squared deviations. It is the most common measure of dispersion.
What is the sample variance?
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