To solve this problem, we need to determine the values of \(a\) and \(b\) based on the given conditions, and then find the value of \(a + 3b\). Let's analyze the information step-by-step:
Step 1: Understanding the Mean
The mean of the observations \(a, b, 68, 44, 48, 60\) is given as 55. The mean is calculated by the formula:
\(\text{Mean} = \frac{a + b + 68 + 44 + 48 + 60}{6}\)
Substituting the given mean:
\(55 = \frac{a + b + 220}{6}\)
Multiplying through by 6 gives:
\(330 = a + b + 220\)
Thus,
\(a + b = 110\) (Equation 1)
Step 2: Understanding the Variance
The variance of the observations is given as 194. The formula for variance is:
\(\text{Variance} = \frac{(a-55)^2 + (b-55)^2 + (68-55)^2 + (44-55)^2 + (48-55)^2 + (60-55)^2}{6}\)
Substituting the known values and simplifying:
Therefore, substituting these values in:
\(194 = \frac{(a-55)^2 + (b-55)^2 + 169 + 121 + 49 + 25}{6}\)
Simplifying further:
\(194 = \frac{(a-55)^2 + (b-55)^2 + 364}{6}\)
Multiplying through by 6 gives:
\(1164 = (a-55)^2 + (b-55)^2 + 364\)
Thus,
\((a-55)^2 + (b-55)^2 = 800\) (Equation 2)
Step 3: Solving the Equations
We have two equations:
Substitute \(a = 110 - b\) into Equation 2:
\((110-b-55)^2 + (b-55)^2 = 800\)
\((55-b)^2 + (b-55)^2 = 800\)
\((55-b)^2 + (55-b)^2 = 800\)
\(2(55-b)^2 = 800\)
55-b = \pm 20
Hence, \(b=35\) or \(b=75\).
Because \(a > b\), we assign:
Thus, given \(a > b\), we take \(a = 75\) and \(b = 35\).
Step 4: Calculation
Finally, compute \(a + 3b\):
\(a + 3b = 75 + 3(35) = 180\)
The correct answer is 180.
Set up the equation for the mean. The mean of the six observations is given as 55. So,
\[ \frac{a + b + 68 + 44 + 48 + 60}{6} = 55. \]
Multiply both sides by 6 to eliminate the denominator:
\[ a + b + 68 + 44 + 48 + 60 = 330. \]
Simplify to get:
\[ a + b = 110 \quad \text{(Equation 1)}. \]
Set up the equation for the variance. The variance of the six observations is given as 194.
Recall that the variance formula for a set of observations \( x_1, x_2, \ldots, x_n \) with mean \( \overline{x} \) is:
\[ \text{Variance} = \frac{1}{n} \sum_{i=1}^{n} (x_i - \overline{x})^2. \]
Here, the mean \( \overline{x} \) is 55. Applying this to our observations:
\[ \frac{(a - 55)^2 + (b - 55)^2 + (68 - 55)^2 + (44 - 55)^2 + (48 - 55)^2 + (60 - 55)^2}{6} = 194. \]
Calculate known terms in the variance expression. Evaluate each squared term involving the known observations:
\[ (68 - 55)^2 = 13^2 = 169, \quad (44 - 55)^2 = (-11)^2 = 121, \quad (48 - 55)^2 = (-7)^2 = 49, \quad (60 - 55)^2 = 5^2 = 25. \]
Substitute these values into the variance equation:
\[ \frac{(a - 55)^2 + (b - 55)^2 + 169 + 121 + 49 + 25}{6} = 194. \]
Simplify:
\[ \frac{(a - 55)^2 + (b - 55)^2 + 364}{6} = 194. \]
Multiply both sides by 6:
\[ (a - 55)^2 + (b - 55)^2 + 364 = 1164. \]
Subtract 364 from both sides:
\[ (a - 55)^2 + (b - 55)^2 = 800 \quad \text{(Equation 2)}. \]
Solve the system of equations. We have the following two equations: 1. \( a + b = 110 \). 2. \( (a - 55)^2 + (b - 55)^2 = 800 \).
From Equation 1, express \( a \) in terms of \( b \):
\[ a = 110 - b. \]
Substitute \( a = 110 - b \) into Equation 2:
\[ (110 - b - 55)^2 + (b - 55)^2 = 800. \]
Simplify each term:
\[ (55 - b)^2 + (b - 55)^2 = 800. \]
Since \( (55 - b)^2 = (b - 55)^2 \), we can write:
\[ 2(b - 55)^2 = 800. \]
\[ (b - 55)^2 = 400. \]
Taking the square root of both sides:
\[ b - 55 = \pm 20. \]
This gives: 1. \( b = 75 \) (if \( b - 55 = 20 \)), 2. \( b = 35 \) (if \( b - 55 = -20 \)).
Since \( a > b \), we choose \( b = 35 \). Substitute \( b = 35 \) into Equation 1:
\[ a + 35 = 110. \] \[ a = 75. \]
Calculate \( a + 3b \)
\[ a + 3b = 75 + 3 \cdot 35 = 75 + 105 = 180. \]
Thus, the answer is: 180.
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Find the variance of the following frequency distribution:
| Class Interval | ||||
| 0--4 | 4--8 | 8--12 | 12--16 | |
| Frequency | 1 | 2 | 2 | 1 |
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