In: Statistics and Probability
The student will compare and contrast empirical data and a theoretical distribution to determine if Terry Vogel's lap times fit a continuous distribution.
Directions :
Round the relative frequencies and probabilities to four decimal places. Carry all other decimal answers to two places.
Collect the Data
1. Use a stratified sampling method by lap (races 1 to 20) and a random number generator to pick six lap times from each stratum. Record the lap times below for laps two to seven.
135, 130, 131, 129, 126, 133
131, 132, 128, 127, 135, 134
130, 133, 126, 131, 128, 129
132, 135, 134, 128, 130, 131
133, 127, 125, 124, 129, 135
128, 131, 132, 129, 135, 130
Construct a histogram. Make five to six intervals. Sketch the graph using a ruler and pencil. Scale the axes.
3. Calculate the following:
a. x ¯ = _______
b. s = _______
4. Draw a smooth curve through the tops of the bars of the histogram. Write one to two complete sentences to describe the general shape of the curve. (Keep it simple. Does the graph go straight across, does it have a v-shape, does it have a hump in the middle or at either end and so on?)
Analyze the Distribution
Using your sample mean, sample standard deviation, and histogram to help, what is the approximate theoretical distribution of the data?
• X ~ _____(_____,_____)
• How does the histogram help you arrive at the approximate distribution?
Describe the Data
Use the data you collected to complete the following statements.
• The IQR goes from __________ to __________.
• IQR = __________. (IQR = Q3 - Q1)
• The 15th percentile is _______.
• The 85th percentile is _______.
• The median is _______.
• The empirical probability that a randomly chosen lap time is more than 130 seconds is _______.
• Explain the meaning of the 85th percentile of this data.
Theoretical Distribution
Using the theoretical distribution, complete the following statements. You should use a normal approximation based on your sample data.
• The IQR goes from __________ to __________.
• IQR = _______.
• The 15th percentile is _______.
• The 85th percentile is _______.
• The median is _______.
• The probability that a randomly chosen lap time is more than 130 seconds is _______.
• Explain the meaning of the 85th percentile of this distribution.
X | X2 | |
135 | 18225 | |
130 | 16900 | |
131 | 17161 | |
129 | 16641 | |
126 | 15876 | |
133 | 17689 | |
131 | 17161 | |
132 | 17424 | |
128 | 16384 | |
127 | 16129 | |
135 | 18225 | |
134 | 17956 | |
130 | 16900 | |
133 | 17689 | |
126 | 15876 | |
131 | 17161 | |
128 | 16384 | |
129 | 16641 | |
132 | 17424 | |
135 | 18225 | |
Sum = | 2615 | 342071 |
4.
Interquartile Range (IQR): 4.5
1st Quartile (Q1): 128.5
2nd Quartile (Q2): 131
3rd Quartile (Q3): 133
IQR = Q3 - Q1 = 133 - 128.5 = 4.5
15th percentile = 127.5
Solution:
Step 1. Arrange the data in ascending order: 126, 126, 127, 128, 128, 129, 129, 130, 130, 131, 131, 131, 132, 132, 133, 133, 134, 135, 135, 135
Step 2. Compute the position of the pth percentile (index i):
i = (p / 100) * n), where p = 15 and n = 20
i = (15 / 100) * 20 = 3
Step 3. The index i is an integer ⇒ the 15th percentile is the average of the values in the 2th and 3th positions (127 and 128 respectively)
Answer: the 15th percentile is (127 + 128) / 2 = 127.5
85th percentile = 134.5
Solution:
Step 1. Arrange the data in ascending order: 126, 126, 127, 128, 128, 129, 129, 130, 130, 131, 131, 131, 132, 132, 133, 133, 134, 135, 135, 135
Step 2. Compute the position of the pth percentile (index i):
i = (p / 100) * n), where p = 85 and n = 20
i = (85 / 100) * 20 = 17
Step 3. The index i is an integer ⇒ the 85th percentile is the average of the values in the 16th and 17th positions (134 and 135 respectively)
Answer: the 85th percentile is (134 + 135) / 2 = 134.5
126 126 127 128 128 129 129 130 130 131 131 131 132 132 133 133 134 135 135 135
mediam=131+131/2=131