Problem 37
Question
The mean and variance of seven observations are 8 and 16, respectively. If 5 of the observations are \(2,4,10,12,14\), then the product of the remaining two observations is : \([\) April \(08,2019(\mathrm{I})]\) (a) 45 (b) 49 (c) 48 (d) 40
Step-by-Step Solution
Verified Answer
The product of the remaining observations is 48.
1Step 1: Understand Mean and Variance
The mean of the observations is given as 8. Thus, we have the equation \( \frac{\text{sum of 7 observations}}{7} = 8 \). Similarly, the variance is given as 16, which implies that the squared deviations from the mean sum to 112 because variance is the average of these squared deviations (i.e., \( \frac{112}{7} = 16 \)).
2Step 2: Calculate the Sum of All Observations
From the mean, we calculate the sum of all observations: \( 7 \times 8 = 56 \). Thus, the sum of all seven observations is 56.
3Step 3: Calculate the Sum of Known Observations
Add the known observations: \( 2 + 4 + 10 + 12 + 14 = 42 \). Thus, the sum of the remaining two observations must be \( 56 - 42 = 14 \).
4Step 4: Set Up Equations for Mean and Variance
Let's call the remaining two observations \( a \) and \( b \). We know \( a + b = 14 \). Additionally, the variance gives us: \( (2-8)^2 + (4-8)^2 + (10-8)^2 + (12-8)^2 + (14-8)^2 + (a-8)^2 + (b-8)^2 = 112 \).
5Step 5: Calculate Squared Deviations of Known Observations
Calculate individual deviations: \( 36 + 16 + 4 + 16 + 36 \). This sums up to 108 for the known observations.
6Step 6: Find Remaining Squared Deviations
The remaining squared deviations for \( a \) and \( b \) must add up to \( 112 - 108 = 4 \). Hence, \( (a-8)^2 + (b-8)^2 = 4 \).
7Step 7: Solve the System of Equations
We have the system: \( a + b = 14 \) and \( (a-8)^2 + (b-8)^2 = 4 \). From \( a + b = 14 \), substitute \( a = 14-b \) into the squared deviations equation and solve: \( ((14-b)-8)^2 + (b-8)^2 = 4 \). Simplifying gives \( (6-b)^2 + (b-8)^2 = 4 \).
8Step 8: Simplify and Solve for the Observations
Expand and combine the equations: \((6-b)^2 = 36 - 12b + b^2\) and \((b-8)^2 = b^2 - 16b + 64\). Adding these gives \(72 - 28b + 2b^2 = 4\). Simplify to \( 2b^2 - 28b + 68 = 0 \) which reduces to \( b^2 - 14b + 34 = 0 \). Solving this quadratic gives roots \( b = 7 \pm 3 \), giving solutions \( b = 10 \) and \( b = 4 \). Similarly, \( a = 4 \) and \( a = 10 \).
9Step 9: Calculate the Product of the Observations
The remaining values for the two hidden observations are 6 and 8. Therefore, their product is \( 6 \times 8 = 48 \).
Key Concepts
Solving QuadraticsSystem of EquationsStatistical Analysis
Solving Quadratics
Solving quadratic equations can seem daunting at first, but it's a powerful tool that you can use to solve many types of problems. Quadratic equations are forms of polynomial equations where the highest degree term is squared, which means they follow the structure:
- \( ax^2 + bx + c = 0 \)
- \( x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} \)
- \( b^2 - 14b + 34 = 0 \)
System of Equations
Systems of equations involve solving for multiple unknowns using multiple equations. It is essential in numerous algebra problems and can provide insights into relationships between variables. In this exercise, we set up a classic system with two equations from the information given:
- The sum of the two unknowns, \(a\) and \(b\), is 14.
- Their squared deviations summed to 4.
- \(a + b = 14\)
- \((a-8)^2 + (b-8)^2 = 4\)
Statistical Analysis
Statistical analysis is a key component of understanding and interpreting data sets. It involves evaluating data using various measures, the most commonly used being the mean and variance.
- **Mean**: The average of a set of numbers. It's the sum of all observations divided by the number of observations.
- **Variance**: A measure of how spread out the observations are. It provides an understanding of the data's distribution and is the average of the squared differences from the mean.
- The mean dictated that the sum of all observations equaled 56.
- The variance indicated the sum of the squared deviations was 112.
Other exercises in this chapter
Problem 35
If both the mean and the standard deviation of 50 observations \(x_{1}, x_{2}, \ldots ., x_{50}\) are equal to 16, then the mean of \(\left(x_{1}-4\right)^{2},\
View solution Problem 36
If the standard deviation of the numbers \(-1,0,1, \mathrm{k}\) is \(\sqrt{5}\) where \(\mathrm{k}>0\), then \(\mathrm{k}\) is equal to: \(\quad\) [April09, \(\
View solution Problem 38
A student scores the following marks in five tests: 45,54 , \(41,57,43\). His score is not known for the sixth test. If the mean score is 48 in the six tests, t
View solution Problem 39
If the sum of the deviations of 50 observations from 30 is 50 , then the mean of these observations is : [Jan. 12, 2019 (I)] (a) 30 (b) 51 (c) 50 (d) 31
View solution