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33 Cards in this Set

  • Front
  • Back
univariate data sets
one variable
bivariate data sets (binary)
two variables
multivariate data sets
more than two
categorical data
qualitative data , described by words
numerical data
quantitative data, numbers
discrete
variable with countable number of distinct values . 37
continuous
any value within an interval. physical measurements (lenght, width, time, speed), and financial variables (sales) 423.67
observation
subject: 1 person had this
1
2
3
4

or

male
female
variable
charactristic of a subject or individual, such as employee income
nominal data
identitfy a category, same as qualitative, categorical, or classification data.
ordical data
natural order of something. rankuing of data values. usually code nominal data numerically

1= strongly agree, 2= agree 3= disagree

(likert scale)
Interval data
Absensce of meaningful 0.distances. likert scale. Ex: temperature
ratio data
meaningful 0 that represents the absence of the quantity being measured.
Time series data
the periodicity is the time between observation, can be annual, quarterly, monthy, weekly, daily.
Cross sectional data
if each observation represents a different individual unit (a person, firm, area) at the same point in time.

Variation among observations in relationships with other observations.
Central tendency
where are the data values concentrated? what seem to be typical or middle data values?
dispersion
how much variation is there in the data? How spread out are the data values? are there unusual values?
shape
are the data values distributed symmetrically? skewed? sharply peaked? flat? bimodal?
Frequency distribution
a table formed by classifying n data values into k classes called bins.
Sturges' Rule
An equation to choose the number of bins needed. guideline proposed that says that everytime we double the sample size, we should add one bin.
Sturges' Rule
k= 1 + 3.3log(n)


n=sample size
Bin Limits
Bin width = xmax- xmin / k

K is the number of bins needed
Histogram
graphical rep of a frequency distribution.
Modal class
a histogram with a bar that is higher than those on either side
Unimodal
histogram with a single modal class
Bimodal
histogram with two modal class.
Multimodal
histogram with two or more modal classes.
Symmertic
In shape. If neither tale is longer than its symmetric
Right-skewed
positively skwed. histogram has a longer right taile, with most data values clustered on the let side.
Left-skewed
negatively skewed. histogram has a longer left tail, with most data values clustered on the right side.
line chart
display a time series, to spot trends, or to compare time periods. Used to display several variables at once. times series. time on x, numerical on y.
scatter plot
starting point for bivariate data analysis. invesitigate relationship between tow variables.
law of large numbers
as the number of trials increases, the empirical probabilty approaches its theoretical limit