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medical marijuana 2015 sales tax: the data show the amount of sales tax…

Question

medical marijuana 2015 sales tax: the data show the amount of sales tax paid in a county in colorado. find the first and third quartiles for the data.

monthsales taxmonthsales tax
february358,807august554,113
march418,590september506,979
april266,266october341,851
may399,810november349,848
june453,062december532,061

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part: 0 / 2

part 1 of 2

first quartile ( q_1 ) is (square).

Explanation:

Step1: Order the data

First, we list all the sales tax values and sort them in ascending order:
\( 266266, 341851, 349848, 358807, 363946, 399810, 418590, 453062, 506979, 518706, 532061, 554113 \)

Step2: Find the median (to split data)

The number of data points \( n = 12 \) (even). The median is the average of the \( \frac{n}{2} = 6 \)-th and \( \frac{n}{2}+1 = 7 \)-th values.
6th value: \( 399810 \), 7th value: \( 418590 \)
Median \( = \frac{399810 + 418590}{2} = 409200 \)

The data is split into two halves:
Lower half (first 6 values): \( 266266, 341851, 349848, 358807, 363946, 399810 \)
Upper half (last 6 values): \( 418590, 453062, 506979, 518706, 532061, 554113 \)

Step3: Find \( Q_1 \) (median of lower half)

For the lower half, \( n_{lower} = 6 \) (even). The median of the lower half is the average of the \( \frac{6}{2} = 3 \)-rd and \( \frac{6}{2}+1 = 4 \)-th values.
3rd value: \( 349848 \), 4th value: \( 358807 \)
But wait, actually, for quartiles, when \( n \) is even, sometimes we use the method where \( Q_1 \) is the median of the first \( \frac{n}{2} \) values (using the inclusive method or exclusive method). Wait, another common method for quartiles when \( n \) is even:

The position of \( Q_1 \) is \( \frac{n + 1}{4} = \frac{12 + 1}{4} = 3.25 \) (using the formula \( i = \frac{p(n + 1)}{100} \), for \( p = 25 \), \( i = 3.25 \))

So \( Q_1 = \text{value at } 3\text{rd} + 0.25\times(\text{value at } 4\text{th} - \text{value at } 3\text{rd}) \)
Value at 3rd: \( 349848 \), Value at 4th: \( 358807 \)
\( Q_1 = 349848 + 0.25\times(358807 - 349848) = 349848 + 0.25\times8959 = 349848 + 2239.75 = 352087.75 \)? Wait, no, maybe I made a mistake in the initial sorting. Wait, let's re - sort the data correctly:

Wait the sales tax values:

January: 363946

February: 358807

March: 418590

April: 266266

May: 399810

June: 453062

July: 518706

August: 554113

September: 506979

October: 341851

November: 349848

December: 532061

Now let's sort them in ascending order:

April: 266266

October: 341851

November: 349848

February: 358807

January: 363946

May: 399810

March: 418590

June: 453062

September: 506979

July: 518706

December: 532061

August: 554113

Now \( n = 12 \)

Position of \( Q_1 \): \( \frac{n + 1}{4}=\frac{12 + 1}{4}=3.25 \)

So the 3rd value is 349848, the 4th value is 358807

\( Q_1=349848 + 0.25\times(358807 - 349848)=349848+0.25\times8959 = 349848 + 2239.75 = 352087.75 \). But this contradicts the earlier thought. Wait, maybe we use the median of the lower half (inclusive). The lower half is the first 6 values: 266266, 341851, 349848, 358807, 363946, 399810. The median of these 6 values is the average of the 3rd and 4th values. 3rd: 349848, 4th: 358807. So \( Q_1=\frac{349848 + 358807}{2}=\frac{708655}{2}=354327.5 \). No, this is confusing. Wait, maybe the problem expects the use of the "tukey's hinges" method or the simple method where for \( n \) even, we split into two halves.

Wait, another approach: when \( n = 12 \), the first quartile is the median of the first 6 observations, and the third quartile is the median of the last 6 observations.

First 6 observations (sorted): 266266, 341851, 349848, 358807, 363946, 399810

Median of first 6 ( \( Q_1 \)): average of 3rd and 4th term. 3rd term: 349848, 4th term: 358807. \( Q_1=\frac{349848 + 358807}{2}=354327.5 \). But this doesn't seem right. Wait, maybe I sorted the data wrong. Let's check the values again:

April: 266,266

October: 341,851

November: 349,848

February: 358,807

January: 363,946

May: 399,810

March: 418,590

June: 453,062

Septe…

Answer:

First quartile \( Q_1 = 349848 \), Third quartile \( Q_3 = 506979 \)