Chapter 7: The Normal Probability Distributio
ns
Differences between continuous random varia
ble and discrete random variable
From probability distribution to probability densit
y function.
A probability density function (pdf) is an
equation used to com
Review
Qualitative (categorical) Data
Deal with descriptions
Data can be observed but not measured.
Colors, textures, smells, tastes, appearance, be
auty, etc.
Qualitative-> Quality
Review
Quantitative Data
Deal with numbers
Data which can be measur
What we will learn in chapter 1 ?
Population.
Sample.
Sample size
The procedures of statistics.
Biased and good sampling.
The entire group of individuals to be
studied is called the population. An
individual is a person or object that is
a member of
Final Exam Review #4
1. A researcher is studying the factors that affect the eating habits of adults in their mid-thirties.
One of the variables measured is the daily intake of whole grains, measured in grams per day.
This variable is which of the followi
Final Exam Review #3
1. Consider the following statements:
In a recent poll, 57% of the respondents supported a school bond issue.
The average age of the employees at a company is 35 years.
Which of the following is true?
a.
b.
c.
d.
Both 57% and 35 are
Final Exam Review #2
1. Suppose 74.9% of all students on campus have a job. From a sample of 84 students on campus,
64.3% of the students sampled have a job. Which of the following is true?
a. Both 74.9% and 64.3% are parameters.
b. 74.9% is a parameter a
Objectives in chapter 3
1. Measure of center: mean, median, mode.
2. Measure of dispersion: range, standard deviation
3. Measure of position (relativity): Z score and Quantil
e
4. Empirical rule
3-1
3-2
Notation table
Statistics
Parameter
Sample mean:
Pop
Chapter 6: Discrete Probability Distributions
Random variable-
Discrete random variable-
Binomial distribution.
What are them?
How to find out mean/standard deviation?
How to calculate related probabilities?
A random variable is a numerical measure
of the
Chapter 5: Probability
In reality, most of the time, the statistics do not
exactly equal the parameter.
How do we justify using statistics?
We will learn:
1. Concepts of probability
2. Rules of probability
Example: It is intuitively obvious that, for a f
Final Exam Review #1
1. An advertisement for a home being sold contains the variables square footage and average
monthly utility costs. Which of the following best describes these variables?
a. Both variables are qualitative.
b. Square footage is qualitat