Questioning & Bias
In collecting data for your final project, the truth is your goal. To avoid distorting the truth, your
data-collection methods must be carefully executed to avoid bias in your research.
There are many types of biases.
Bias is an
If God does not exist, one will lose nothing by believing in Him, while if he does exist, one
will lose everything by not believing.
Pascals Triangle is an arrangement of numbers that has fascinated mathematicia
Is there repetition?
Is order important?
Alternate Methods to Solve Problems:
A restaurant menu lists 8 main courses and 7 desserts. How many different meals consisting of a main cou
Additional Questions with Probability
1. The manager of the Toronto Blue Jays has picked the nine players for the
starting line-up. What is the probability that the designated hitter bats last?
2. A committee of students and teachers is being formed to st
Having the right sample for your population can mean the difference between an accurate
prediction and the end of your career!
The most embarrassing statistical mistake occurred in the USA in 1948 during the presidentia
Creating Questions & Avoiding Bias
Information the researcher collects first hand is called primary data. Information obtained from
similar studies conducted by other researchers is called secondary data.
When collecting primary data
Linear & Non-Linear Regression
Line of Best Fit
Numbers doesn't support regression analyses, including regression line fitting (called trendlines
in Excel) and R2 calculations.
(For me, this is a deal breaker as I use this feature every d
Cause & EFFECT, and other Relationships
Correlation does not mean Causation
The main reason for a correlation study is to find evidence of a cause-and-effect relationship.
Perhaps we want to know if calculators help students learn
Statistics of Two Variables
Does smoking cause lung cancer? Is job performance related to marks in high school? Do
pollution levels affect the ozone layer in the atmosphere? Often the answers to such questions are
not clear-cut. However
The variables collected were age, gender, income for 2011, and monthly spending on a variety of
What might have been the investigation about?
Who might have been the population?
Who might have been the