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Normal Probability Distribution
has two parameters; population mean=u; population standard deviation=o
Subjective Probability
Based on past experience and feelings.
Nominal Data
Categories Only, Data cannot be arranged. gender,race, religion
Box Plot
provides the quartiles and other information about the distribution of the data set.
Independent Events
When one events does NOT influence the outcome of the other event.
Statistics
A collecting method for planning, obtaining, and organizing.
Central Tendency
expected value, average of the discrete distribution.
Stratified Sampling
the population is divided into 2 or more subpopulations, and a random sample is drawn from each group.
Probability Distribution
a list of data values and their associated probabilities.
Descriptive Statistics
Describe the population is the goal.
Deciles
10 equal parts.
Conditional Probability (Bayes Theorem)
The probability of one event given that another event has occurred.
Probability
A numerical statement about the likelihood that an events will occur.
Permutation
order matters.
Random Variables
It assigns a real number to the experimental outcome. two types; discrete and continuous
Mutually Exclusive
only one of the events can occur on any one trial.
Sampling with replacement
you DO return
Continuous Distribution
results from measuring something such as distance, weight, amount of anything else.
Fundamental Concepts of Probability
the probability of any event occurring is between 0 and 1 inclusive. and the sum of the sampling must equal 1.
Ordinal Data
Categories are ordered but difference cannot be determined. 1st, 2nd, 3rd
Discrete
can only assume a finite or limited set of values.
Cluster Sampling
divide the group into clusters and then select some random clusters.
Objective Probability
Based on relative frequency or Logic
Outliers
values that lie far away from the majority values.
Random Sampling
a random sampling from a population.
Median
Middle
Quartiles
4 equal parts.
Class Frequency
the number of observations in each category
Sample
a sub-collection of elements
Systematic Sampling
Chose a starting point and then select every N'th elements.
Percentiles
100 equal parts.
Convenience Sampling
uses data that is already available.
Contingency Table
a two-way frequency tables, a cross-tabulation table that summarizes two variables of interest and their relationship.
Dependent Events
When one events does influence the outcome of the other event.
Relative Frquency
the relationship between a class total and the total number of observations.
Data Set
A set of measurements obtained.
Variance
spread or dispersion of the data about the mean.
Continuity Correction Factor
subtract or add .5, depending on the question.
Collectively Exhaustive
the list of outcomes includes Every possible outcome.
Pie Chart
Shows the proportion or the percentile that each class represents.
Sampling with out replacement
you DO NOT return.
Ratio Data
Interval data with an absolute Zero. length, width, distance, K
Joint Probability
The probability of two or more events occuring together one right after another.
Interval Data
Differences between values can be found, but is NO absolute ZERO. Temperature F, time
Binomial Distribution
success or failure; fixed number of trials; probability of S or F stay the same for each trial; and the trials are independent.
Continuous
can only assume an infinite set of values.
Combination
order DOES NOT matter.
Interquartile Range
Q3-Q1
Standard Normal Distribution
to trasform the values of a random variable "X" to a SN random variable "Z" with u=0 and o=1
Population
complete collection of all elements.
Marginal Probability
The probability of a single event occurring.
Variation
Range, Variance, Standard deviation
Characteristics of Data
Nature and shape, central tendency, and measure of dispersion.
Bar Chart
class on the horizontal axis and the class frequency on the vertical axis.

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