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Cons30S Probability Theoretical And Experimental
Cons30S Probability Theoretical And Experimental
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Cons30 S Probability Test Results
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Relations and Formulas - Formulas
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Cons30S Probability Theoretical And Experimental
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Cons30 S Probability Test Results
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Cons30 S Probability Test Results
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Relations and Formulas - Formulas
Relations and Formulas - Formulas
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Applications Group Problem
Applications Group Problem
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cons30S Measurement Converting Between Systems
cons30S Measurement Converting Between Systems
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cons30S Vehicles - Insurance
cons30S Vehicles - Insurance
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cons30S Vehicles - Buying A New Vehicle
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Cons30 S Income And Debt Credit Cards
Cons30 S Income And Debt Credit Cards
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Measurement Measuring in Imperial and Metric
Measurement Measuring in Imperial and Metric
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Cons30S Data Analysis Circle Graphs
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cons30S Measurement Vernier Calipers
cons30S Measurement Vernier Calipers
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cons30S - Vehicles - Used Vehicle
cons30S - Vehicles - Used Vehicle
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cons30S Vehicles - Loans
cons30S Vehicles - Loans
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cons30S Vehicles - Leasing
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Cons30 S Probability Expected Value
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Cons30 S Data Analysis Measures Of Central Tendency
Cons30 S Data Analysis Measures Of Central Tendency
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cons30S Measurement Micrometers
cons30S Measurement Micrometers
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cons30S Vehicles - Test Key
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cons30S Vehicles - Leasing
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cons30S Vehicles - Depreciation
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cons30S Vehicles - Maintaining A Vehicle
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cons30S Vehicles Project
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Fuel Economy
Fuel Economy
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Vehicles - Purchasing
Vehicles - Purchasing
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cons 30S Measurement Converting within Systems
cons 30S Measurement Converting within Systems
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Measurement Converting Within Systems
Measurement Converting Within Systems
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Measurement Intro
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Interpreting Graphs
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Cons30 S Income And Debt Credit Cards
Cons30 S Income And Debt Credit Cards
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Measurement Measuring in Imperial and Metric
Measurement Measuring in Imperial and Metric
nmal
Cons30S Data Analysis Circle Graphs
Cons30S Data Analysis Circle Graphs
nmal
cons30S Measurement Vernier Calipers
cons30S Measurement Vernier Calipers
nmal
cons30S - Vehicles - Used Vehicle
cons30S - Vehicles - Used Vehicle
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cons30S Vehicles - Loans
cons30S Vehicles - Loans
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cons30S Vehicles - Leasing
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Cons30 S Probability Expected Value
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Cons30 S Data Analysis Measures Of Central Tendency
Cons30 S Data Analysis Measures Of Central Tendency
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cons30S Measurement Micrometers
cons30S Measurement Micrometers
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Cons30 S Income And Debt Credit Cards
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Measurement Measuring in Imperial and Metric
Measurement Measuring in Imperial and Metric
Cons30S Data Analysis Circle Graphs
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cons30S Measurement Vernier Calipers
cons30S Measurement Vernier Calipers
cons30S - Vehicles - Used Vehicle
cons30S - Vehicles - Used Vehicle
cons30S Vehicles - Loans
cons30S Vehicles - Loans
cons30S Vehicles - Leasing
cons30S Vehicles - Leasing
Cons30 S Probability Expected Value
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Cons30 S Data Analysis Measures Of Central Tendency
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cons30S Measurement Micrometers
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cons30S Vehicles - Maintaining A Vehicle
cons30S Vehicles - Maintaining A Vehicle
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cons30S Vehicles Project
cons30S Vehicles Project
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Fuel Economy
Fuel Economy
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Vehicles - Purchasing
Vehicles - Purchasing
nmal
cons 30S Measurement Converting within Systems
cons 30S Measurement Converting within Systems
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Measurement Converting Within Systems
Measurement Converting Within Systems
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Measurement Intro
Measurement Intro
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Interpreting Graphs
Interpreting Graphs
nmal
Applications
Applications
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Fixed Value
Fixed Value
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Slope
Slope
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Intro
Intro
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Linear Relationships
Linear Relationships
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cons30S Vehicles - Maintaining A Vehicle
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cons30S Vehicles Project
cons30S Vehicles Project
Fuel Economy
Fuel Economy
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Vehicles - Purchasing
cons 30S Measurement Converting within Systems
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Measurement Intro
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Interpreting Graphs
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Fixed Value
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Cons30 S Probability Predictions
1.
MAKING PREDICTIONS USING
PROBABILITY
2.
PROBABILITY SCALE
1 0.75 0.25 0.5 0 50% 75% 100% 25% 0% very equal less always never likely chance likely
3.
TOSSING A COIN: P( ) = 0% P(
) = 50% P( ) = 100%
4.
ROLLING A PAIR OF DICE: P( ) = 0% P(
) = 50% P( ) = 100%
5.
EX There is a 1 in 5 chance that someone will be born with blonde hair. Out of a
group of 250 random people, how many are expected to have blonde hair?
6.
EX In a carton of a dozen eggs, one is expected to be broken every time. How
many would you expect to be broken in a case of 216 eggs?
7.
EX A store is giving away 15 free ipods today. They have given away 7 already.
If you walk in the store and there are 480 people left in the store, what is your percent chance of getting a free one?
8.
HOMEWORK: p.331; #18
9.
BONUS CHALLENGE: 5 BONUS MARKS ON UNIT TEST!!!!
10.
What is your probability of winning the jackpot? This means with one ticket, what are your chances (as a reduced fraction) of getting all six numbers correct? * You select any 6 numbers from the numbers 1 through 49. * Six numbers are then drawn one by one out of a machine. * Find the probability of drawing each number, one by one, separately then multiply all of them together to get one fraction, which you can reduce to....1 out of ?.
* * * * * 2nd # 3rd # 1st # 4th # 5th # 6th #
11.
SOLUTION
* * * * * 2nd # 3rd # 1st # 4th # 5th # 6th #
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