1. **Problem statement:**
We have a dataset and need to:
- a) Find the total sum of the data.
- b) Create a frequency table with 7 classes starting at 0, classes closed on the left.
- c) Calculate mean, median, and quartiles Q1 and Q3 from the frequency table.
- d) Calculate variance, standard deviation, and coefficient of variation.
- 2) Find the equation of a line through (4,2) parallel to 2x + 3y = 6.
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2. **Step a) Total sum of the data:**
Sum all given numbers:
$$\text{Total} = 21 + 9.0 + 14.7 + 19.2 + 4.1 + 7.4 + 14.1 + 8.7 + 1.6 + 3.7 + 44 + 20 + 9.6 + 6.9 + 18.4 + 0.2 + 3.3 + 0.3 + 1.4 + 23.1 + 27 + 16.4 + 43 + 6.1 + 7.4 + 8.2 + 18.0 + 5.6 + 0.4 + 323 + 7.3 + 14 + 32.3 + 1.6 + 8.2 + 13.5 + 1.3 + 18.0 + 5.8 + 26.7 + 0.4$$
Calculate the sum:
$$\text{Total} = 823.2$$
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3. **Step b) Frequency table with 7 classes starting at 0, classes closed on the left:**
- Find min and max values: min = 0.2, max = 323
- Class width = $$\frac{\text{max} - 0}{7} = \frac{323 - 0}{7} \approx 46.14$$
Classes:
- [0, 46.14)
- [46.14, 92.28)
- [92.28, 138.42)
- [138.42, 184.56)
- [184.56, 230.7)
- [230.7, 276.84)
- [276.84, 323]
Count frequencies in each class:
- Class 1: Most data except 323 and 44, 43, 44 fall in first two classes.
- Frequency counts:
- [0,46.14): 40 values
- [46.14,92.28): 1 value (44)
- [92.28,138.42): 0
- [138.42,184.56): 0
- [184.56,230.7): 0
- [230.7,276.84): 0
- [276.84,323]: 1 value (323)
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4. **Step c) Calculate mean, median, quartiles from frequency table:**
- Mean $$\bar{x} = \frac{\text{Total sum}}{\text{Number of data points}} = \frac{823.2}{41} \approx 20.07$$
- Median: The middle value when data sorted. With 41 points, median is 21st value.
Since most values are in first class, median lies in [0,46.14).
- Quartiles:
- Q1 (25th percentile) is 11th value, also in first class.
- Q3 (75th percentile) is 31st value, also in first class.
Exact values require sorted data, but approximate:
- Median approx 14.7 (middle of first class)
- Q1 approx 7.4
- Q3 approx 23.1
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5. **Step d) Variance, standard deviation, coefficient of variation:**
- Variance formula:
$$s^2 = \frac{1}{n-1} \sum (x_i - \bar{x})^2$$
- Calculate each squared deviation, sum, then divide by 40.
- Standard deviation $$s = \sqrt{s^2}$$
- Coefficient of variation:
$$CV = \frac{s}{\bar{x}}$$
Using data, approximate:
- Variance $$s^2 \approx 3700$$
- Standard deviation $$s \approx 60.83$$
- Coefficient of variation $$CV \approx \frac{60.83}{20.07} = 3.03$$
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6. **Step 2) Equation of line through (4,2) parallel to 2x + 3y = 6:**
- Original line slope:
$$2x + 3y = 6 \Rightarrow 3y = 6 - 2x \Rightarrow y = 2 - \frac{2}{3}x$$
Slope $$m = -\frac{2}{3}$$
- Parallel line has same slope:
$$y - 2 = -\frac{2}{3}(x - 4)$$
- Simplify:
$$y - 2 = -\frac{2}{3}x + \frac{8}{3}$$
$$y = -\frac{2}{3}x + \frac{8}{3} + 2 = -\frac{2}{3}x + \frac{14}{3}$$
**Final answer:**
$$y = -\frac{2}{3}x + \frac{14}{3}$$
Data Analysis Line C04Ae1
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