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The seven numbers \(7,10,12,17,21, x\) and \(y\) have a mean \(\mu=12\) and a variance \(\sigma^{2}=\frac{172}{7}\). Find \(x\) and \(y\) given that \(x

Short Answer

Expert verified
The values are \(x = 5\) and \(y = 12\).

Step by step solution

01

Understand Mean Formula

The mean \( \mu \) of a set of numbers is calculated as the sum of all numbers divided by the count of numbers. For our set, the mean is given as \( \mu = 12 \). We have 7 numbers in the set \( (7, 10, 12, 17, 21, x, y) \). Therefore, we have the equation: \[ \frac{7 + 10 + 12 + 17 + 21 + x + y}{7} = 12. \]
02

Calculate Sums for Mean

Compute the sum of the known numbers: \( 7 + 10 + 12 + 17 + 21 = 67 \). Substitute this back into the mean equation: \[ \frac{67 + x + y}{7} = 12. \] Multiply through by 7 to eliminate the fraction: \[ 67 + x + y = 84. \] So, \[ x + y = 17. \]
03

Understand Variance Formula

The variance \( \sigma^2 \) is calculated as the average of the squared differences from the Mean: \[ \sigma^2 = \frac{1}{n} \sum_{i=1}^{n} (a_i - \mu)^2. \] We know that \( \sigma^2 = \frac{172}{7} \) for 7 numbers \( (7, 10, 12, 17, 21, x, y) \).
04

Calculate Known Sum of Squares

Using the formula for variance: \[ \frac{(7-12)^2 + (10-12)^2 + (12-12)^2 + (17-12)^2 + (21-12)^2 + (x-12)^2 + (y-12)^2}{7} = \frac{172}{7}. \] Calculate the known squared differences: \((7-12)^2 + (10-12)^2 + (12-12)^2 + (17-12)^2 + (21-12)^2 = 25 + 4 + 0 + 25 + 81 = 135.\)\[\frac{135 + (x-12)^2 + (y-12)^2}{7} = \frac{172}{7}. \] Multiply both sides by 7: \[ 135 + (x-12)^2 + (y-12)^2 = 172, \] and simplify to find: \[ (x-12)^2 + (y-12)^2 = 37. \]
05

Solve System of Equations

We now have two equations: 1) \( x + y = 17 \) and 2) \( (x-12)^2 + (y-12)^2 = 37 \). Substitute \( y = 17 - x \) into the second equation: \[ (x-12)^2 + ((17-x)-12)^2 = 37. \] Simplify: \[ (x-12)^2 + (5-x)^2 = 37. \] Expand: \[ (x-12)^2 = x^2 - 24x + 144 \text{ and } (5-x)^2 = x^2 - 10x + 25. \] Substitute back: \[ x^2 - 24x + 144 + x^2 - 10x + 25 = 37 \] Simplify: \[ 2x^2 - 34x + 169 = 37. \] Subtract 37 from both sides: \[ 2x^2 - 34x + 132 = 0. \] Divide through by 2: \[ x^2 - 17x + 66 = 0. \]
06

Solve Quadratic Equation

This is a quadratic equation: \( x^2 - 17x + 66 = 0 \). Use the quadratic formula \( \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} \), with \( a=1 \), \( b=-17 \), \( c=66 \). The discriminant \( b^2 - 4ac = (-17)^2 - 4 \cdot 1 \cdot 66 = 49 \) is positive, indicating two solutions. Calculate: \[ x = \frac{17 \pm 7}{2}. \] Thus, \( x = 12 \text{ or } x = 5. \)
07

Assign Values to x and y

Since \( x < y \), we assign \( x=5 \) and \( y=12 \). Therefore, the solution is \( x = 5 \) and \( y = 12 \).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Quadratic Equation
Understanding quadratic equations is crucial when solving problems involving two unknowns. A quadratic equation is of the form \( ax^2 + bx + c = 0 \), where \( a \), \( b \), and \( c \) are constants and \( x \) is the unknown variable. In this exercise, we arrived at the quadratic equation \( x^2 - 17x + 66 = 0 \) by analyzing a system related to mean and variance. Quadratic equations can have two, one, or no real solutions, indicated by the discriminant \( b^2 - 4ac \). Here, the discriminant was found to be 49, a positive number, suggesting two real solutions. Using the quadratic formula \( x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} \), we calculated the potential values of \( x \) as 12 and 5. Having two possible values helps us understand different scenarios for the problem at hand.
System of Equations
A system of equations is a collection of two or more equations with the same set of variables. Solving such a system involves finding values for these variables that satisfy all equations simultaneously. In our exercise, we have a system formed by two equations: \( x + y = 17 \) and \( (x-12)^2 + (y-12)^2 = 37 \). The first equation deals with the sum of the numbers, while the second involves their variance. By substituting \( y = 17 - x \) into the second equation, we reduced a two-variable problem to a single-variable quadratic equation, which vastly simplifies solving. Understanding systems of equations allows us to uncover relationships between variables and solve complex real-world problems efficiently.
Variance Formula
Variance is a measure of how much the numbers in a data set differ from the mean, calculated using the formula: \( \sigma^2 = \frac{1}{n} \sum_{i=1}^{n} (a_i - \mu)^2 \). In this problem, we are given a variance of \( \frac{172}{7} \) for numbers including unknowns \( x \) and \( y \). This formula helps in quantifying the average spread of the data points. Similarly, the variance helped us form and ultimately solve the equations in conjunction with the mean. Once we computed the squared differences for the known numbers and substituted these into our variance equation, it allowed us to simplify and deduce the relationship \( (x-12)^2 + (y-12)^2 = 37 \). Recognizing the role of variance and its formulation was vital in establishing equations that facilitated finding the original problem's solution.

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Most popular questions from this chapter

The following are data concerning the injuries in road accidents in the UK classified by severity. $$\begin{array}{|c|c|c|c|}\hline \text { Year } & \text { Fatal } & \text { Serious } & \text { Slight } \\\\\hline 1970 & 758 & 7860 & 13515 \\\\\hline 1975 & 699 & 6912 & 13041 \\\\\hline 1980 & 644 & 7218 & 13926 \\\\\hline 1985 & 550 & 6507 & 13587 \\\\\hline 1990 & 491 & 5237 & 14443 \\\\\hline 1995 & 361 & 4071 & 12102 \\\\\hline 2000 & 297 & 3007 & 11825 \\\\\hline 2005 & 264 & 2250 & 10922 \\\\\hline\end{array}$$ a) Draw bar graphs for the total number of injuries and describe any patterns you observe. b) Draw pie charts for the different types of injuries for the years 1970,1990 and 2005.

Grade point averages (GPA) in several colleges are on a scale of \(0-4 .\) Here are the GPAs of 45 students at a certain college. $$\begin{array}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|} \hline 1.8 & 1.9 & 1.9 & 2.0 & 2.1 & 2.1 & 2.1 & 2.2 & 2.2 & 2.3 & 2.3 & 2.4 & 2.4 & 2.4 & 2.5 \\ \hline 2.5 & 2.5 & 2.5 & 2.5 & 2.5 & 2.6 & 2.6 & 2.6 & 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.7 & 2.7 \\ \hline 2.8 & 2.8 & 2.8 & 2.9 & 2.9 & 2.9 & 3.0 & 3.0 & 3.0 & 3.1 & 3.1 & 3.1 & 3.2 & 3.2 & 3.4 \\ \hline \end{array}$$ Prepare a frequency histogram, a relative frequency histogram and a cumulative frequency graph. Describe the data in two to three sentences.

Half the values of a sample are equal to \(20,\) one-sixth are equal to \(40,\) and onethird are equal to \(60 .\) What is the sample mean?

The number of passengers on 50 flights from Washington to London on a commercial airline were: $$\begin{array}{|c|c|c|c|c|c|c|c|c|c|} \hline 165 & 173 & 158 & 171 & 177 & 156 & 178 & 210 & 160 & 164 \\ \hline 141 & 127 & 119 & 146 & 147 & 155 & 187 & 162 & 185 & 125 \\ \hline 163 & 179 & 187 & 174 & 166 & 174 & 139 & 138 & 153 & 142 \\ \hline 153 & 163 & 185 & 149 & 154 & 154 & 180 & 117 & 168 & 182 \\ \hline 130 & 182 & 209 & 126 & 159 & 150 & 143 & 198 & 189 & 218 \\ \hline \end{array}$$ a) Calculate the mean and standard deviation of the number of passengers on this airline between the two cities. b) Set up a stem plot for the data and use it to find the median of the number of passengers. c) Develop a cumulative frequency graph. Estimate the median, and first and third quartiles. Draw a box plot. d) Find the IQR and use it to check whether there are any outliers. e) Use the empirical rule to check for outliers.

The mean score of 26 students on a 40 -point paper is \(22 .\) The mean for another group of 84 other students is \(32 .\) Find the mean of the combined group of 110 students.

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