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Gravity
Key Concepts:
Terms in this set (35)
example of population
all of fhs
example of a sample
the seniors
Define parameter
a numerical description of a population
Define statistics
numerical description of a sample
1st Level of Measurement
nominal: only quantitative data (color)
2nd level of measurment
ordinal: quantitative or qualitative (burns)
3rd level of measurement
interval: only quantitative (temp)
4th Level of Measurement
ratio: only quantitative (meaningful quotients divide)
why could data be misleading
could be bias, not random, and one bar could be wider then the rest
Define observation
watching what happens in the natural environment
frequency histogram
bar graph that shows frequency distributions of a data set (horiz. axis: midpoints, vert axis: freq)
frequency polygon
a line graph that shows continuous change in frequencies (labeled same as freq. histogram)
difference between frequency histogram &polygon
histogram is a bar graph and frequency polygon is a line graph
What is frequency?
how often something occurs within an interval
stem and leaf plot
similar to a histogram, but shows every data value& provides an easy way to sort data
dot plot
shows every data entry, allows you to see how data is distributed
pie chart
a circle graph, circle is divided into sectors that represent the percent of data in each category
pareto chart
A vertical bar graph in which the height of each bar represents frequency or relative frequency
mean
average (add all up and divide by classes)
median
middle
mode
# that occurs the most
symmetric
each side is a mirror image of the other
uniform
all bars are same height
skewed left
tail on left, most data to the right
skewed right
tail on right, most data to the left
variation
numbers that tell how spread apart data values are
range
highest data value - lowest data value
Variance
square stand deviation
empirical
data with symmetric, or bell-shaped, distribution the standard deviation
chebychevs
the portion of any data set lying within k standard deviations of the mean is least
z-score
number of standard deviations away from the mean that a data value is
z score formula
z = (x - μ)/σ
unusual z scores
z>2 or z<-2
very unusual z scores
z>3 or z<-3
standard deck knowledge
52 cards, 4 suits, red and black, 4 of each card
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