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115 Cards in this Set

  • Front
  • Back
What is statistics
branch of math that transfors data into useful information for decision making
Why do we study statistics?
present and describe data
draw conclusions about lg. pop
make reliable forcasts
improve process
What is inferential statistics?
branch of stats that use sample data to draw conclusions about an entire population
What is a variable?
characteristic of an item or individual
What are operational definitions?
universally accepted meanings that are clear to all associated with analysis
What is a sample?
portion of a population selected for analysis
What is a parameter?
numerical measure that describes a characteristic of a population
What is a statistic?
numerical measure that describes a characteristic of a population
Name two data sources
Primary (data used by primary data collector) and Secondary (non-data collector using statistics)
Four Sources of Data
Data dist. by organ or indiv.
Designed experiment
Survey
Observational Study
What is a categorical variable?
"qualitative" values that can only be placed into categories such as "yes" and "no" or days of the week
What are the types of variables?
Categorical and Numerical (numerical then divided into discrete and continuous)
What is a numerical variable?
"quantative" has value that represents quantaties (subdivided into discrete or continuous)
What is a discrete variable?
numerical values that arise from a counting process
What is a continuous variable?
produces numerical responses that arise from a measuring process (no two cont. variables will be identical)
What are the types of scales?
Nominal
Ordinal
Interval
Ratio
What is a nominal variable?
Classifies data into distinct categories in which no ranking is implied (weakest form)
What is an ordinal scale?
classifies data into distinct categories in which ranking is implied (excellent, very good, fair, poor) weak form
What is a ratio scale?
ordered scale in which the difference btwn measurements involves a true zero point (age, weight, salary)
What is an interval scale?
ordered scale in which the diffs btwn msuremnts is a meaningful quantity but does not involve true zero point
What is a pie chart
circle broken up into slices that represent categories; size varies according to %
What is a summary table?
indicates freq amt of % of items in set of categories so diffs can be seen btwn cat. (cat/freq, amt. or % in diff col.)
What is a bar chart?
shows category and length of which rep. the amt, freq. or % of values falling into category
When do you use a bar chart?
if comparison of categories is most impt.
When do you use a pie chart?
when observing the portion of the whole that is in a particular category is most impt
What is the Pareto Principle?
Exists when maj. of items in set of data occur in small # of cat. & few remaining items are spread out over lg # of cat.
What is a Pareto Diagram?
Categorized responses are plotted in descending order according to freq. and are combined with a sum % line on same chart (prioritizing improvements)
What is an ordered array?
sequence of data, in rank order, from smlest to lgest
What is a stem and leaf display?
organizes data into grps ("stems") so values in each grp (leaves) branch out to the right on each row
What is a frequency distribution?
summary table in which data are arranged into numerically ordered class grpings (draw conclusions about maj char.)
What are class groupings?
must establish appropriate # and suitable width & boundaries to avoid overlap
What are class boundaries?
place each value in one and only one class
What is class midpoint?
center of each class (halfway btwn lower boundary and upper boundar of class)
What is the width of class interval?
Width=range/#of desired class groupings
What is the range?
highest value - lowest value= range
What is relative frequency distribution?
dividing freq. in each class of freq. dist. by the total # of values
What is percentage distribution?
multiply each relative freq. by 100%
What is cumulative % distribution?
provides way of presenting info. about the % of items that are less than a certain value
What is a histogram?
bar chart for grped numerical data in which freq. or % of ech grp of num. data are represntd as indiv vertical bars (no gaps)
When do you use histogram, polygons and/or cumulative % polygons?
when analyzing a single numerical value
What is a cumulative percentage polygon?
"Ogive" displays the variable of interest along the X axis & the cumulative % along theY axis
What is a contingency table?
presents results of two categorical variables
What are the cells in a contingency table?
values located at the intersection of the rows/columns
What is a side by side bar chart?
useful way to visually display the result of cross-classification data
When do you use scatter plots and time series plots?
when analyzing two numerical values
What is a scatter plot?
examines possible relationships btwn two num. variables
What is a time series plot?
Studies patterns in the values of a numerical variable over time
What kinds of charts obscure data in Excel?
doughnut, radar, surface, bubble, cone and pyramid
What are guidelines for developing good graphs?
do not distort data; title; no cartjunk; two dimensional; scale on vertical axis should start at 0; simplest possible
What is central tendency?
extent to which all data values group around a typical or central value
What is a variation?
amt of dispersion or scattering of values away from a central value
What is a shape?
pattern of distribution of values from the lowest to highest values
What are the 3 measures of central tendency?
mean, median, mode
What is the arithmetic mean "mean"
most common measure of central tendency "balance point"
Mean = sum of values / # of values
What is the summation notation?
all n values added together
What is the summation of the square?
in stats the squared values of variables are often summed
What is the square of the sum?
the summation notation then squared
What is the sample mean?
Sum of values divided by the # of values
What does n equal?
number of values or sample size
What is an outlier?
extreme value
What is the median?
middle value in a set of data (if odd number is middle number is set....if even is average of two middle values)
What is the mode?
the most frequently occuring value in a set of data
What is the middle quartile?
the median
What are the rules for calculating quartiles?
whole number = ranked value
fract. 1/2 = avg. of corresp. ranked values
if not whole or fract 1/2 then result is rounded to nearest integar and select that ranked value
What is the geometric mean?
measures rate of change of variable over time
What does variation measure?
spread or dispersion of values in a data set
What is the range?
measure of variation; diff btwn lgest and smallest values
"simplest umerical descriptive measure of variation in data set
What are the two most common measures of variation?
variance and standard deviation
What is a shape of data set?
repreesnts pattern of all values from lowest to highest
What is the range?
midspread "middle fifty" Q3-Q1 (cannot be affected by extreme values)
What is resistant measures?
summary meausres such as median, Q1, Q3, and interquartile range which cannot be influenced by extreme measures
What do variance and standard deviation measure?
the "average" scatter around the mean - how larger values fluctuate above and smaller values distribute below
What is the sum of squares (SS)?
squares the difference btwn each value and the mean and then sums these squared differences
What is the sample variance?
sum of the squared differences around the mean divided by the sample size minus one
What is the sample standard deviation?
square root of the sum of the squared differences around the mean divided by the sample size minus one
What is the coefficient of variation?
relative measure of variation always expressed as a % rather than in terms of units of the particular data **measures scatter relative to the mean**
What is considered an outlier in Z-scores?
anything above 3.0 or below -3.0
What is the shape?
pattern of dist. of data values throughout entire range of all variables
What are the types of distribution?
symmetrical and skewed (values not symmetrical around the mean)
What does left skewed mean?
mean < median: negative
What does right skewed mean?
mean > median: positive
What does symmetrical mean?
mean = median: symmetrical
What are parameters?
summary measures for a population
What are population parameters?
population mean
population variance
population standard deviation
What is a population mean?
sum of values in the population divided by the size N
What is the general addition rule?
The probability of A or B is equal to the probability of A plus the probability of B minus the probability of A and B
P(AorB)=P(A)+P(B)-P(AandB)
What does collectively exhaustive mean?
when one of the events in a set of events must occur
What is mutually exclusive?
when both events cannot occur simultaneously
What is joint probability?
the probability of an occurrence involving two or more events
What is marginal probability?
"simple probability" because it enables you to compute the total # of successes from the appropriate margins of the contingency table
What is simple probability?
probability of occurrence of a simple event P(A)
What is a contingency table?
way to present a sample space
What is a sample space?
collection of all possible events
What is a complement of event A "A"?
All parts that are not part of event A
What is a joint event?
an event that has two or more characteristics
What is a simple event?
a single characteristic
What is an event?
each possible outcome of a variable
What is subjective probability?
differs from person to person (useful in making decisions when you cannot use a priori or empirical classical)
What is the probability of occurrence?
the # of ways in which events occur / the total # of possible outcomes
What is empirical classical probability?
outcomes are based on observed data, not on prior knowledge of a process
What is a priori classical probability?
the probability of success is based on prior knowledge of the process involved
What are three approaches to the subject of probability?
a priori classical probability
empirical classical probability
subjective probability
What is an impossible event?
event that has no chance of occurring....probability of 0
What is a probability?
numeric value representing the chance, likelihood or possibility a particular event will occur
What is the empirical rule?
68% of values are within 1 standard deviation from mean; 95% are within 2 sd of the mean and 99.7% are within 3
What is chebyshev rule?
states that for any data set, regardless of shape, the % values that are found within a distance of K standard deviations from the mean must be at least (1-1/K squared) x100%
What is a five number summary?
X smallest, Q1, median, Q3, X largest
What is a box and whisker plot?
graphical representation of the data based on the five number summary
What is covariance?
measures strength of the linear relationship between 2 numerical variables (X & Y)
What is the coefficient of correlation?
measures the relative strength of a linear relationship between two numerical variables
What is Bayes' theorem?
used to revise previously calculated probabilities based on new info.
What is conditional probability?
probability of Event A given info about the occurrence of another Event B
What is a decision tree?
alternative to contingency table
What is statistical independence?
when outcome of one event does NOT affect theprobability of occurrence of another event
What is the general multiplication rule?
Probability of A & B is equal to the probabilityof A given B times the probability of B
P(A&B)=P(A\B)P(B)