The Bootstrapping Method
1) Put a random, undetermined amount of jellybeans in a symmetrical jar with no deformities.
2) Devise a questionnaire the guess, age, and gender facets.
3) Choose a reasonable sample size of people and ask them to fill out the ballots.
4) Recollect the questionnaires and enter the data into Excel.
5) Sample the guesses into 5 groups utilizing the bootstrapping method found within statistics.
6) Plot the results of the bootstrapped data and the data obtained from the other facets from the questionnaires. Draw conclusions.
In Step 1, put an undetermined amount of jellybeans in the jar to ensure you didn't know the amount yourself. This increases credibility because it ensures that you didn't hint, or bias your participants the actual amount
of jellybeans in the jar.
In Step 2, design all of these facets within the questionnaire to ensure you can test data originating from questionnaires with specific attributes.
In Step 3, utilize a sample size of at least 50 individuals. This experiment utilized 81 individuals.
In Step 4, use Excel because of its special functions that it is capable of performing.
In Step 5, randomly select 7 guesses out of the 81 guesses using the Java programming language. Take the average of the 7 guesses and replace them back into the 81 sample size of guesses. This number is now one accuracy test for the 7 sample size. Perform this again so you have another average from a randomly selected 7 guesses. Continue to do this 10,000 times utilizing the Java programming language. This method is referred to in statistics as bootstrapping. Perform this method on the 17, 27, 37, and 47 sample sizes and write all of the tests to a file. Then take the average of all 10,000 tests within the 7 sample size. Do the same on the other sample sizes.
In step 6, plot all of the sample sizes that were tested in the bootstrapping process. Also look for correlations between the age of the individual and the guess of the individual. Look for the different guesses between gender.
2) Devise a questionnaire the guess, age, and gender facets.
3) Choose a reasonable sample size of people and ask them to fill out the ballots.
4) Recollect the questionnaires and enter the data into Excel.
5) Sample the guesses into 5 groups utilizing the bootstrapping method found within statistics.
6) Plot the results of the bootstrapped data and the data obtained from the other facets from the questionnaires. Draw conclusions.
In Step 1, put an undetermined amount of jellybeans in the jar to ensure you didn't know the amount yourself. This increases credibility because it ensures that you didn't hint, or bias your participants the actual amount
of jellybeans in the jar.
In Step 2, design all of these facets within the questionnaire to ensure you can test data originating from questionnaires with specific attributes.
In Step 3, utilize a sample size of at least 50 individuals. This experiment utilized 81 individuals.
In Step 4, use Excel because of its special functions that it is capable of performing.
In Step 5, randomly select 7 guesses out of the 81 guesses using the Java programming language. Take the average of the 7 guesses and replace them back into the 81 sample size of guesses. This number is now one accuracy test for the 7 sample size. Perform this again so you have another average from a randomly selected 7 guesses. Continue to do this 10,000 times utilizing the Java programming language. This method is referred to in statistics as bootstrapping. Perform this method on the 17, 27, 37, and 47 sample sizes and write all of the tests to a file. Then take the average of all 10,000 tests within the 7 sample size. Do the same on the other sample sizes.
In step 6, plot all of the sample sizes that were tested in the bootstrapping process. Also look for correlations between the age of the individual and the guess of the individual. Look for the different guesses between gender.