Test if the probability of drawing a particular type of card from a deck depends upon the number of that type of card in the deck.
Group Set Up:
Students will work independently.
Procedure:
Prepare the deck of cards for your experiment.
Count the cards to make sure the deck is complete (each deck should have 52 cards total).
Remember to take out the jokers!
Shuffle the deck three times and set aside.
Use the data table provided. You will be recording your results in this data table.
Decide which types of cards you want to investigate. You can investigate the ones shown in Table 1, or you can pick different types of cards.
For each type of card you choose to investigate, make a column for it in your data table, as done in Table 1.
For each type of card in your data table, count how many of that type of card there are in the deck and write this number in your data table.
From your data table, pick a type of card to investigate. Draw cards from the top of the shuffled deck and flip them over one at a time, counting as you go. When you get to the type of card you are looking for, stop and write down the number of cards you have drawn in your table. This will be your first trial.
Shuffle the deck of cards three times again and repeat step 3 nine more times to get a total of ten trials for that type of card.
Repeat steps 3-4 for each type of card you would like to test (that is, for each column in your data table).
Now you will want to add together the number of cards drawn for the ten trials for each type of card you tested (for each column). Write your answer in the "TOTALS" row of your data table. Are the numbers similar or different?
Next, you will want to calculate the average number of cards drawn for each type of card. Do this by dividing the number on each "TOTALS" box by ten, and writing the answer below in the "AVERAGES" box of the data table.
The average is a way to combine the results of all of your trials into one number, which will be useful for graphing and understanding the results of your experiment.
8. Students will then manual enter their data into ISense using a contributor key: enrich
Test if the probability of drawing a particular type of card from a deck depends upon the number of that type of card in the deck.
Group Set Up:
Students will work independently.
Procedure:
Prepare the deck of cards for your experiment.
Count the cards to make sure the deck is complete (each deck should have 52 cards total).
Remember to take out the jokers!
Shuffle the deck three times and set aside.
Use the data table provided. You will be recording your results in this data table.
Decide which types of cards you want to investigate. You can investigate the ones shown in Table 1, or you can pick different types of cards.
For each type of card you choose to investigate, make a column for it in your data table, as done in Table 1.
For each type of card in your data table, count how many of that type of card there are in the deck and write this number in your data table.
From your data table, pick a type of card to investigate. Draw cards from the top of the shuffled deck and flip them over one at a time, counting as you go. When you get to the type of card you are looking for, stop and write down the number of cards you have drawn in your table. This will be your first trial.
Shuffle the deck of cards three times again and repeat step 3 nine more times to get a total of ten trials for that type of card.
Repeat steps 3-4 for each type of card you would like to test (that is, for each column in your data table).
Now you will want to add together the number of cards drawn for the ten trials for each type of card you tested (for each column). Write your answer in the "TOTALS" row of your data table. Are the numbers similar or different?
Next, you will want to calculate the average number of cards drawn for each type of card. Do this by dividing the number on each "TOTALS" box by ten, and writing the answer below in the "AVERAGES" box of the data table.
The average is a way to combine the results of all of your trials into one number, which will be useful for graphing and understanding the results of your experiment.
8. Students will then manual enter their data into ISense using a contributor key: enrich