STATISTICS &
THE ENVIRONMENT
GOALS
1. oranize and describe data
2. use statistical summaries and graphs
3. calculate with fractions, decimals, and percents
4. judge whether or not samples are representative and random
5. read, interpret, and use information from maps or graphical displays of data
6. choose and use appropriate techniques to analyze data
7. make inferences based on data
8. make decisions based on statistical information and justify the decisions
1.
Statistics
is the science of collecting, organizing, and interpreting numerical facts that
are called data.
2.
Data
can be produced by sampling a part of a population in order to gain information
about the whole.
3.
Contour
maps and profiles, or vertical cross sections of a landscape are
two-dimensional representations of a three dimensional situation. A contour line connects points that have the
same height.
1.
In
this section, students use a grid for estimating the area of an irregular
shape. Area is measured in square
units. In order to convert square
centimeters to square metres, remember that 1 square metre is equal to 10,000
square centimetres.
2.
We
used a bar graph to estimate the percent in a particular category. Remember that a percent comes from a part to
whole relationship (a relative comparison).
Remember that an absolute comparison compares part to part and cannot be
turned into a percent.
SECTION C: INTERPRETING
DATA
1.
Statistics
and graphs work together in any data analysis.
Graphs provide a visual picture of the data, while statistics summarize
a characteristic of the data: typical
values or the spread of the data.
2.
Graphs
can identify the center, the overall shape of the data, gaps, clusters, and
outliers, while a statistic is a number that shows a count, a representative
value in a set of data, or the three values of central tendency – mean, median,
and mode.
3.
The
median (the middle number in the ordered data) is not affected by
outliers. The mean (the sum of the data
divided by the number of data points) is affected by outliers.
4.
A
good description of data should include the range (high # - low #) and the mean
because the spread of the data will be important information.
SECTION D: DESCRIBING DATA
1.
In
this section we applied statistical tools and concepts to analyze and describe
data. These tools and concepts can be a
bar graph, stem-and-leaf plot, histogram, circle graph, stacked bar graph,
scatterplot, mean, median, mode, range, clusters, and outliers ( observations
falling outside the overall pattern of the data).
2.
Fractions,
decimals, and percents are used to make relative comparisons. We also find percents of percents. The given data involve some very large
numbers to order and use along the axes of graphs.
SECTION E: LAND
USE PLANS FOR MURRE ISLAND
1. This section requires the use of all
previously learned statistical ideas, especially making inferences based on
data, and making decisions based on statistical information.
2. The mathematics in this section focuses on the higher goals of
organizing information, justifying plans, and making decisions.