Data
Graphs
Measures of Center
Probability
Misc.
100

Define Data

Facts and Statistics collected together for reference or analysis.

100

How are Histograms and pictographs different?

Histograms are like bar graphs, where data is groups by heights.

Pictographs are like ling plots, where pictures are used instead of x's

100

Why is central data important?

It helps us know what is the average or middle of the data.

100

Define Probability?

The chance that an event will or will not happen.

100

Name 3 types of graphs data is organized in?

bar, Circle, Stem and leaf Etc.

200

How are bar graphs and frequency tables alike?

They both show how many data points are members of a defined category.

200

How are Box and whisker built?

data is put in order from least to greatest.

divided in half and then each half divided again.

the divisions give me the 4 quartile divisions.

Whiskers go to the largest and smallest data

200

Name three measures of central tendency

Mean, median, mode 

200

All probability is between what two values?

Zero and one

200

Describe a normal distribution Graph.

Bell curve

300

In what form does data need to be in for a circle graph?

Percentage of the whole.

300

What is interquartile range?

The difference of the upper quartile and lower quartile.

300

Define Mean, Median, Mode.

Mean = average of data

Median = Middle data point when data in order from least to greatest.

Mode = Data repeated the most often

300

How are odds different than probability?

Probability is the number of success over the total number of outcomes.

Odds are the number of success outcomes over the failed outcomes.

300

What is expected value?

the theoretical average result

400

What is a data cluster?

 Data that are grouped around a few points. 

400

What are outliers.

Data outside 1.5 times the interquartile range from other data points.

400

How is mean computed?

Add up all data point and divide by the number of data points.

400

What are mutually exclusive events?

p(a or b) = p(a) + p(b)

400

What discipline in math studies data?

Statistics

500

Describe two types of Variation.

Natural variation, Variation that happens naturally

Measurement variation, differences in how carefully the data is varied.

500

Name 3 ways graphs can be manipulated to be misleading?

Truncated Graphs

Inconsistent labeling

Change the scale, axis

Cherry picking data

500

Why are central measures important?

They give us data to help make decisions about the middle of the data.

500

What is the name of Ms. Carr's boyfriend?

Theoretical = What should happen mathematically.

Experimental = what actually happens when experiment ran

500

How are permutations and combinations different?

Permutation = counting repeats in different order

Combination = do not count different orders.

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