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Probability
Basic Formula | Conditional Probability | Addition and Multiplication Rules | Counting Rules |
Probability Distributions | Expected Value | Save Time: Check Assumptions! | Quick Study
(Optional Activity)
What is the probability of rain t
Statistics Lab Week 2
Name:_Ajay Keeramkary_
Math221
Statistical Concepts:
Using Minitab
Graphics
Shapes of Distributions
Descriptive Statistics
Empirical Rule
Data in Minitab
Minitab is a powerful, yet user-friendly, data analysis software package.
Statistics Lab #6
Name:_Ajay Keeramkary_
Statistical Concepts:
Data Simulation
Discrete Probability Distribution
Confidence Intervals
Calculations for a set of variables
Open the class survey results that were entered into the MINITAB worksheet.
We w
Statistics Lab Week 4
Name:_Ajay Keeramkary_
MATH221
Statistical Concepts:
Probability
Binomial Probability Distribution
Calculating Binomial Probabilities
Open a new MINITAB worksheet.
We are interested in a binomial experiment with 10 trials. First,
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Combinations and Permutations
What's the Difference?
In English we use the word "combination" loosely, without thinking if the order of things is
important. In other words:
"My fruit salad is a
Statistics Lab Week 2
Name: Brittany Campbell
Math221
Statistical Concepts:
Using Minitab
Graphics
Shapes of Distributions
Descriptive Statistics
Empirical Rule
Data in Minitab
Minitab is a powerful, yet user-friendly, data analysis software package
Statistics Lab Week 2
Name:_
Math221
Statistical Concepts:
Using Minitab
Graphics
Shapes of Distributions
Descriptive Statistics
Empirical Rule
Data in Minitab
Minitab is a powerful, yet user-friendly, data analysis software package. You can
launch M
Statistics Lab #6
Name:_Ryan Drake_
Statistical Concepts:
Data Simulation
Discrete Probability Distribution
Confidence Intervals
Calculations for a set of variables
Open the class survey results that were entered into the MINITAB worksheet.
We want t
Statistics Lab Week 2
Name: Marcie King
Math221
Statistical Concepts:
Using Minitab
Graphics
Shapes of Distributions
Descriptive Statistics
Empirical Rule
Data in Minitab
Minitab is a powerful, yet user-friendly, data analysis software package. You
PT1
1/21/2014 8:08:47 AM
a.) The linear regression equation of yearly bar tab versus a person's age?
y=65.56x-1452.52
b.) What do you predict for a person who is 20 years old?
350
c.) What do you predict for a person who is 55 years old?
2500
d.) Do these
Practice Problems!
Example 1: What proportion of Fairfield County high school seniors apply to college early? An SRS of 25
seniors in FFLD County was asked whether or not they applied to college early. 15 out of the 25 said they
applied early. Construct a
Final Exam Review Questions Solutions Guide You will probably want to PRINT THIS so you can carefully check your answers. Be sure to ask your instructor if you have questions about any of the solutions given below. 1. Explain the difference between a popu
In Class Assignment Week 7
Name:_
Statistical Concepts:
Hypothesis Testing
Performing Hypothesis testing for one Variable
We want to test and see if the average sleep a student gets in a night is less than 8 hours.
We want to test and see if the average d
In Class Assignment Week 6
Name:_
Statistical Concepts:
Confidence Intervals
Calculating Confidence Intervals for one Variable
Using our class data set, compare the 95% and 99% confidence intervals for the
hours of sleep a student gets. Explain the differ
In Class Assignment Week 5
Name:_
Statistical Concepts:
Normal Probability Distribution
Empirical Rule
Calculating Normal Probabilities
Normal probabilities can be calculated using your calculator instead of using a table.
Nationally the amount of TV th
Statistics Lab Week 4
Name:_
MATH221
Statistical Concepts:
Probability
Binomial Probability Distribution
Calculating Binomial Probabilities
Open a new MINITAB worksheet.
We are interested in a binomial experiment with 10 trials. First, we will make th
Week 4
-all weeks open al the ime
- dropboxes added for InClass assignments
- In the GradeBook 20 pts each week are awarded for InClass Assignments these are recorded
in the Discussion Column
Keep a minimum of 6 decimal places throughout the calculations
In Class Assignment Week 4
Name:_
Statistical Concepts:
Binomial distributions
Poisson distributions
COPY BINOMIAL PARTS 1 AND 2 AND POISSON PART 1 FOR EACH STUDENT
PRINT ONE COPY OF DEPARTMENT SHEETS AND ONE PUT IN EACH ENVELOP (1
ENVELOP PER GROUP)
1. A
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Explanation
In order to find the mean (expectation) of the given distribution, we will use the following
formula:
=xp(x)
So, first we need to multiply each value of X by each probability P(X), then add these results
together. In this example w
In Class Assignment Week 3
Name:_
Statistical Concepts:
Cross Tabulations
Probability
Part I: Key concepts in probability:
The probability of an event A, denoted , is the expected proportion of occurrences of A if
the experiment were performed a large num
Statistics Lab Week 2
Name:_James Marhover_
Math221
Statistical Concepts:
Using MINITAB
Graphics
Shapes of Distributions
Descriptive Statistics
Empirical Rule
Data in MINITAB
MINITAB is a powerful, yet user-friendly, data analysis software package. Y
In Class Assignment Week 2
Name:_
Statistical Concepts:
Correlation
Regression
Dealing with Bivariate Data
How do we analyze the relationship between two variables if one exists? It depends on
the type of data. Two quantitative variables such as Race and
Statistics Lab Week 2 Name:_ Math221 Statistical Concepts: Using MINITAB Graphics Shapes of Distributions Descriptive Statistics Empirical Rule Data in MINITAB
MINITAB is a powerful, yet user-friendly, data analysis software package. You can launch MINITA
Student Survey
1)
How long does it take you to drive to the school on average (to the nearest minute)?
_
2)
What state/country were you born? _
3)
What is the temperature outside right now? _
4)
Rank all of the courses you are currently taking. The class
In Class Assignment Week 1
Name:_
Statistical Concepts:
Data Collection via a Survey
Branches of Statistics
Sampling
Types of Data
Levels of Measurement
Part 1: Collecting Data
Graphics
Shapes of Distributions
Descriptive Statistics
Empirical Rule
We