PROJECT B
1. Flip a coin 120 times. In order to be organized, please
record the results of this experiment in 5 rows, with 24 flips per
row. For example, the first row may be
HTHTTTHTTHTTHHHTTHTHHHHT
If you do not desire to flip a coin manually, STATDISK can be
used to simulate the process. To use STATDISK, go to “Data” at the
top of the STATDISK window, and then choose “Coins Generator”. The
“Coin Toss Simulator” window will appear. Then in that window, put
120 in for “Sample Size” and put 1 in for “Num Coins”. Please
disregard the “Random Seed” textbox. Then, click “Generate”.
Then, on the right side of the window you will see a set of
0’s and 1’s
which are the results of each toss of the die. We can let 1
represent “H” and 0 represent “T”. In the meantime, let the 0’s and
1’s be Data Set A.
2. For each pair of flips, write down the number of heads in
that pair. For the 24 flips shown above, this would be done as
follows:
PAIR NUMBER OF HEADS
HT1 HT1 TT0 HT1 TH1 TT0 HH2 HT1 TH1 TH1 HH2 HT1
Note that the result will be a data set with 60 numbers such
that each number is either 0, 1, or 2. Take each of those 60
numbers and divide by 2. To make it easier, please feel free to use
Microsoft Excel or STATDISK. For STATDISK, go to the “Coin Toss
Simulator” window and click “Copy”. Then, go to the “Statdisk Data
Window” and click “Paste”. Please select a column to paste into.
For simplicity, let’s choose Column 1. Then, go to the top and
click “Data” and choose “Sample Transformations”. The “Sample
Transformer” window will appear. Into this window, enter the Source
column (in this case, 1), for the operation, and enter “/” because
you want to divide. Then, choose “Constant”. Also, enter in 2 into
the field next to “Constant”. Click the “Basic Transform” button,
and you get a new data set obtained by dividing each number in the
former data set by 2. Now, take those new numbers and refer to
these numbers as Data Set B.
3. Repeat #2 above except for each triple of flips. For the 24
flips shown above, the result would be
TRIPLE NUMBER OF HEADS
HTH 2 TTT 0 HTT 1 HTT 1 HHH 3 TTH 1 THH 2 HHT 2
The full data set will have 40 numbers such that each number
is either 0, 1, 2, or 3. Divide each of these 40 numbers by 3.
Refer to this new data set as Data Set C.
4. For Data Set A, make a frequency distribution with class
width of 1 and having 2
classes. This frequency distribution will display how often
each of the two numbers in your data came up.
5. For Data Set B, make a frequency distribution with class
width of 1/2 and having 3 classes. This frequency distribution will
display how often each of the three numbers in your data came
up.
6. For Data Set C, make a frequency distribution with class
width of 1/3 (not .3 or
even .33, but 1/3 exactly ) and having 4 classes. This
frequency distribution will display how often each of the four
numbers in your data came up.
7. Using these frequency distributions, draw relative
frequency histograms for each of Data Sets A, B, and C and using
each histogram, please describe what the distribution of each of
the data sets is. NOTE: A relative frequency distribution is is the
same as a probability distribution, so the y-axis of a relative
frequency histogram has probabilities or percentages.
8.Without doing any calculations, draw a rough picture of what
you think the relative-frequency histogram for groups of four flips
may look like. Briefly justify your picture.
For Data Sets A, B, and C, compute the mean and standard
deviation. Please describe any comparisons or contrasts that you
see among the 3 sets of means and standard deviations.