AP Numbers: Variance & Mean Calculation

by Andrew McMorgan 40 views

Hey guys! Today, we're diving deep into a super interesting math problem involving Arithmetic Progressions (AP). We've got six numbers, a1,a2,a3,a4,a5,a6a_1, a_2, a_3, a_4, a_5, a_6, chilling in an AP. We're given a couple of juicy clues: a1+a3=10a_1 + a_3 = 10, and the mean of these six numbers is a neat 192\frac{19}{2}. Our mission, should we choose to accept it, is to figure out what 8σ28 \sigma^2 equals, where σ2\sigma^2 is the variance of these numbers. This isn't just about crunching numbers; it's about understanding the properties of APs and how they relate to statistical concepts like mean and variance. So, grab your calculators, put on your thinking caps, and let's get this math party started!

Understanding Arithmetic Progressions

Alright, let's kick things off by getting a solid grip on what an Arithmetic Progression (AP) is, especially when we're dealing with a sequence of numbers like a1,a2,a3,a4,a5,a6a_1, a_2, a_3, a_4, a_5, a_6. In an AP, the difference between consecutive terms is constant. This constant difference is what we call the common difference, usually denoted by 'd'. So, if our first term is a1a_1, the sequence looks like this: a1a_1, a1+da_1 + d, a1+2da_1 + 2d, a1+3da_1 + 3d, a1+4da_1 + 4d, a1+5da_1 + 5d. This fundamental property is the key to unlocking the entire problem. It means we can express any term in the sequence in relation to the first term and the common difference. For instance, a2=a1+da_2 = a_1 + d, a3=a1+2da_3 = a_1 + 2d, and so on, up to a6=a1+5da_6 = a_1 + 5d. This systematic structure allows us to set up equations and solve for the unknowns. We're given that a1,a2,a3,a4,a5,a6a_1, a_2, a_3, a_4, a_5, a_6 are in AP. This immediately tells us that a2=a1+da_2 = a_1 + d, a3=a1+2da_3 = a_1 + 2d, a4=a1+3da_4 = a_1 + 3d, a5=a1+4da_5 = a_1 + 4d, and a6=a1+5da_6 = a_1 + 5d. This relationship is our bedrock. Without understanding this, we'd be lost in the mathematical wilderness. The elegance of an AP lies in its predictability; each term is just the previous one plus a fixed amount. This simplicity is what we exploit to simplify complex calculations. The problem also gives us a1+a3=10a_1 + a_3 = 10. Using our AP definition, we can rewrite a3a_3 as a1+2da_1 + 2d. So, the equation becomes a1+(a1+2d)=10a_1 + (a_1 + 2d) = 10, which simplifies to 2a1+2d=102a_1 + 2d = 10, or even further, a1+d=5a_1 + d = 5. And guess what? a1+da_1 + d is just a2a_2! So, we've already figured out that the second term, a2a_2, is 5. This is a fantastic head start, guys. It shows how powerful it is to translate the problem's conditions into the language of APs. We're not just given numbers; we're given relationships, and by understanding APs, we can turn those relationships into concrete values. This initial step is crucial because it reduces the number of variables we need to solve for, making the subsequent steps much more manageable. So, remember, whenever you see 'AP', think constant difference, and think how you can express each term using the first term and that difference. It's like having a secret code to unlock the problem!

Calculating the Mean

Now that we've got a handle on APs, let's tackle the mean of these six numbers. The mean, or average, is calculated by summing up all the numbers and then dividing by the count of the numbers. In our case, the mean is given as 192\frac{19}{2}. So, we have:

a1+a2+a3+a4+a5+a66=192 \frac{a_1 + a_2 + a_3 + a_4 + a_5 + a_6}{6} = \frac{19}{2}

Let's express each term in terms of a1a_1 and dd (the common difference):

a1a_1 a2=a1+da_2 = a_1 + d a3=a1+2da_3 = a_1 + 2d a4=a1+3da_4 = a_1 + 3d a5=a1+4da_5 = a_1 + 4d a6=a1+5da_6 = a_1 + 5d

Summing these up, we get:

a1+(a1+d)+(a1+2d)+(a1+3d)+(a1+4d)+(a1+5d)=6a1+(1+2+3+4+5)d=6a1+15da_1 + (a_1 + d) + (a_1 + 2d) + (a_1 + 3d) + (a_1 + 4d) + (a_1 + 5d) = 6a_1 + (1+2+3+4+5)d = 6a_1 + 15d

So, the equation for the mean becomes:

6a1+15d6=192 \frac{6a_1 + 15d}{6} = \frac{19}{2}

Simplifying the left side, we get:

a1+156d=192 a_1 + \frac{15}{6}d = \frac{19}{2}

a1+52d=192 a_1 + \frac{5}{2}d = \frac{19}{2}

Now, remember our earlier finding from a1+a3=10a_1 + a_3 = 10? We found that a1+d=5a_1 + d = 5. This is super handy! We can use this to find the values of a1a_1 and dd. Let's substitute a1=5−da_1 = 5 - d into the mean equation:

(5−d)+52d=192 (5 - d) + \frac{5}{2}d = \frac{19}{2}

5−d+52d=192 5 - d + \frac{5}{2}d = \frac{19}{2}

5+32d=192 5 + \frac{3}{2}d = \frac{19}{2}

Subtract 5 from both sides:

32d=192−5 \frac{3}{2}d = \frac{19}{2} - 5

32d=192−102 \frac{3}{2}d = \frac{19}{2} - \frac{10}{2}

32d=92 \frac{3}{2}d = \frac{9}{2}

Multiply both sides by 23\frac{2}{3}:

d=92×23 d = \frac{9}{2} \times \frac{2}{3}

d=3 d = 3

Awesome! We found the common difference, d=3d = 3. Now we can easily find a1a_1 using a1+d=5a_1 + d = 5:

a1+3=5 a_1 + 3 = 5

a1=2 a_1 = 2

So, our first term is a1=2a_1 = 2 and the common difference is d=3d = 3. This means our AP sequence is: 2, 5, 8, 11, 14, 17. Let's quickly check if the mean is indeed 192\frac{19}{2}. The sum is 2+5+8+11+14+17=572+5+8+11+14+17 = 57. And 576=192\frac{57}{6} = \frac{19}{2}. Perfect! We've successfully determined the sequence using the given information about the mean and a property of the AP.

Understanding Variance (σ2\sigma^2)

Alright, team, we've conquered the mean, and now it's time to dive into the thrilling world of variance. Variance, denoted as σ2\sigma^2, is a measure of how spread out the numbers in a data set are. A low variance means the numbers are close to the mean, while a high variance indicates they are spread out over a wider range. For a set of numbers x1,x2,...,xnx_1, x_2, ..., x_n, the variance is calculated using the formula:

σ2=∑i=1n(xi−μ)2n \sigma^2 = \frac{\sum_{i=1}^{n} (x_i - \mu)^2}{n}

where xix_i are the individual data points, μ\mu is the mean of the data set, and nn is the number of data points.

In our problem, the numbers are a1,a2,a3,a4,a5,a6a_1, a_2, a_3, a_4, a_5, a_6, the mean μ=192\mu = \frac{19}{2}, and n=6n = 6. We've already found our sequence: 2, 5, 8, 11, 14, 17. Let's calculate the variance step-by-step. First, we need to find the difference between each term and the mean, and then square those differences.

Our mean is μ=192=9.5\mu = \frac{19}{2} = 9.5.

  1. For a1=2a_1 = 2: (2−9.5)2=(−7.5)2=56.25(2 - 9.5)^2 = (-7.5)^2 = 56.25
  2. For a2=5a_2 = 5: (5−9.5)2=(−4.5)2=20.25(5 - 9.5)^2 = (-4.5)^2 = 20.25
  3. For a3=8a_3 = 8: (8−9.5)2=(−1.5)2=2.25(8 - 9.5)^2 = (-1.5)^2 = 2.25
  4. For a4=11a_4 = 11: (11−9.5)2=(1.5)2=2.25(11 - 9.5)^2 = (1.5)^2 = 2.25
  5. For a5=14a_5 = 14: (14−9.5)2=(4.5)2=20.25(14 - 9.5)^2 = (4.5)^2 = 20.25
  6. For a6=17a_6 = 17: (17−9.5)2=(7.5)2=56.25(17 - 9.5)^2 = (7.5)^2 = 56.25

Now, we sum up these squared differences:

56.25+20.25+2.25+2.25+20.25+56.25=157.556.25 + 20.25 + 2.25 + 2.25 + 20.25 + 56.25 = 157.5

Finally, we divide the sum by the number of terms (which is 6) to get the variance:

σ2=157.56 \sigma^2 = \frac{157.5}{6}

Let's convert 157.5 to a fraction to make the division easier. 157.5=3152157.5 = \frac{315}{2}.

σ2=315/26=31512 \sigma^2 = \frac{315/2}{6} = \frac{315}{12}

We can simplify this fraction by dividing both the numerator and the denominator by 3:

σ2=1054 \sigma^2 = \frac{105}{4}

So, the variance σ2\sigma^2 is 1054\frac{105}{4}. This calculation shows the practical application of the variance formula and how it quantifies the dispersion of our AP sequence around its mean. It's important to be meticulous with these calculations, as a small error can throw off the final result. Remember, variance is always non-negative, and a larger value signifies greater spread.

Final Calculation: 8σ28 \sigma^2

We're in the home stretch, guys! We've successfully calculated the variance, σ2=1054\sigma^2 = \frac{105}{4}. The problem asks us to find the value of 8σ28 \sigma^2. This is straightforward now:

8σ2=8×1054 8 \sigma^2 = 8 \times \frac{105}{4}

We can simplify this by dividing 8 by 4:

8σ2=(8/4)×105 8 \sigma^2 = (8/4) \times 105

8σ2=2×105 8 \sigma^2 = 2 \times 105

8σ2=210 8 \sigma^2 = 210

And there you have it! The value of 8σ28 \sigma^2 is 210. This matches option (B) from the choices given. It's pretty awesome how we started with just a few pieces of information about an AP and ended up calculating its variance. This problem highlights the interconnectedness of different mathematical concepts – from the basic definition of an AP to the statistical measures of mean and variance. Keep practicing these kinds of problems, and you'll become a math ninja in no time! Remember, the key is to break down the problem into smaller, manageable steps, understand the definitions, and carefully perform the calculations. Each step builds upon the previous one, leading you closer to the solution. So, don't get intimidated by complex-looking problems; just dive in and start dissecting them!

Conclusion

We've journeyed through the properties of Arithmetic Progressions, calculated the mean, and meticulously determined the variance (σ2\sigma^2) for a sequence of six numbers. By leveraging the definition of an AP and the given conditions (a1+a3=10a_1+a_3=10 and mean = 192\frac{19}{2}), we were able to find the first term (a1=2a_1=2) and the common difference (d=3d=3). This allowed us to identify the sequence as 2, 5, 8, 11, 14, 17. Subsequently, we applied the variance formula, calculating the squared differences from the mean and averaging them to find σ2=1054\sigma^2 = \frac{105}{4}. Finally, multiplying the variance by 8 gave us the answer: 8σ2=2108 \sigma^2 = 210. This detailed breakdown shows the power of applying fundamental mathematical principles to solve specific problems. Keep exploring, keep calculating, and happy problem-solving, math enthusiasts!