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The acidity or alkalinity of a solution is measured using pH. A pH less than 7 is acidic; a pH greater than 7 is alkaline. The following data represent the \(\mathrm{pH}\) in samples of bottled water and tap water. $$ \begin{array}{lllllll} \hline \text { Tap } & 7.64 & 7.45 & 7.47 & 7.50 & 7.68 & 7.69 \\ & 7.45 & 7.10 & 7.56 & 7.47 & 7.52 & 7.47 \\ \hline \text { Bottled } & 5.15 & 5.09 & 5.26 & 5.20 & 5.02 & 5.23 \\ & 5.28 & 5.26 & 5.13 & 5.26 & 5.21 & 5.24 \\ \hline \end{array} $$ (a) Determine the mean, median, and mode \(\mathrm{pH}\) for each type of water. Comment on the differences between the two water types. (b) Suppose the \(\mathrm{pH}\) of 7.10 in tap water was incorrectly recorded as \(1.70 .\) How does this affect the mean? the median? What property of the median does this illustrate?

Short Answer

Expert verified
Mean pH for Tap Water: 7.50, Bottled Water: 5.19. Median pH for Tap Water: 7.485, Bottled Water: 5.22. Mode for Tap Water: 7.47, Bottled Water: 5.26. An erroneous tap water pH affects the mean but not the median, showing median robustness.

Step by step solution

01

List the pH values for Tap Water

The pH values for Tap Water are: 7.64, 7.45, 7.47, 7.50, 7.68, 7.69, 7.45, 7.10, 7.56, 7.47, 7.52, 7.47.
02

List the pH values for Bottled Water

The pH values for Bottled Water are: 5.15, 5.09, 5.26, 5.20, 5.02, 5.23, 5.28, 5.26, 5.13, 5.26, 5.21, 5.24.
03

Calculate the Mean pH for Tap Water

Add up all the pH values for Tap Water and divide by the number of values: (7.64 + 7.45 + 7.47 + 7.50 + 7.68 + 7.69 + 7.45 + 7.10 + 7.56 + 7.47 + 7.52 + 7.47) / 12 ≈ 7.50.
04

Calculate the Mean pH for Bottled Water

Add up all the pH values for Bottled Water and divide by the number of values: (5.15 + 5.09 + 5.26 + 5.20 + 5.02 + 5.23 + 5.28 + 5.26 + 5.13 + 5.26 + 5.21 + 5.24) / 12 ≈ 5.19.
05

Find the Median pH for Tap Water

Arrange the pH values of tap water in ascending order and find the middle value(s): 7.10, 7.45, 7.45, 7.47, 7.47, 7.47, 7.50, 7.52, 7.56, 7.64, 7.68, 7.69. The median is the average of the 6th and 7th values: (7.47 + 7.50) / 2 = 7.485.
06

Find the Median pH for Bottled Water

Arrange the pH values of bottled water in ascending order and find the middle value(s): 5.02, 5.09, 5.13, 5.15, 5.20, 5.21, 5.23, 5.24, 5.26, 5.26, 5.26, 5.28. The median is the average of the 6th and 7th values: (5.21 + 5.23) / 2 = 5.22.
07

Identify the Mode pH for Tap Water

Find the most frequently occurring pH value in Tap Water: The pH value 7.47 appears 4 times, so the mode is 7.47.
08

Identify the Mode pH for Bottled Water

Find the most frequently occurring pH value in Bottled Water: The pH value 5.26 appears 3 times, so the mode is 5.26.
09

Analyze differences between the two types of water

Tap water is generally more alkaline with mean and median values around 7.5, while bottled water is more acidic with mean and median values around 5.2. The difference illustrates the expected variations in pH between tap and bottled water.
10

Recalculate the Mean pH with Incorrect Tap Water Value

If the pH 7.10 is incorrectly recorded as 1.70, then the new mean is calculated: (7.64 + 7.45 + 7.47 + 7.50 + 7.68 + 7.69 + 7.45 + 1.70 + 7.56 + 7.47 + 7.52 + 7.47) / 12 ≈ 6.88.
11

Recalculate the Median pH with Incorrect Tap Water Value

So the new list is: 1.70, 7.45, 7.45, 7.47, 7.47, 7.47, 7.50, 7.52, 7.56, 7.64, 7.68, 7.69. The median remains the average of the 6th and 7th values: (7.47 + 7.50) / 2 = 7.485.
12

Discuss the Property of the Median

The correct median remains unchanged, which demonstrates its resistance to extreme values (robustness) unlike the mean.

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Key Concepts

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

mean calculation
The mean, often called the average, is a measure of central tendency. It tells you about the central value of a data set.

To calculate the mean, follow these steps:
  • Add up all the numbers in the data set.
  • Divide the sum by the total number of values.
For example, the mean pH for tap water can be calculated as:
\[ \frac{7.64 + 7.45 + 7.47 + 7.50 + 7.68 + 7.69 + 7.45 + 7.10 + 7.56 + 7.47 + 7.52 + 7.47}{12} \approx 7.50 \] This means the average pH for tap water is about 7.50, slightly alkaline.
The bottled water mean calculation is similar: \[ \frac{5.15 + 5.09 + 5.26 + 5.20 + 5.02 + 5.23 + 5.28 + 5.26 + 5.13 + 5.26 + 5.21 + 5.24}{12} \approx 5.19 \] The average pH for bottled water is about 5.19, which is more acidic.
median calculation
The median is the middle value in a data set arranged in ascending or descending order. It separates the higher half from the lower half of the data.

To find the median, you need to:
  • Arrange the data in order.
  • Identify the middle value (or average the two middle values if the data set has an even number of values).
For tap water pH values:
1. Arrange values: 7.10, 7.45, 7.45, 7.47, 7.47, 7.47, 7.50, 7.52, 7.56, 7.64, 7.68, 7.69
2. The 6th and 7th values are 7.47 and 7.50.
3. Median: \( \frac{7.47 + 7.50}{2} = 7.485 \) Similarly, for bottled water:
1. Arrange values: 5.02, 5.09, 5.13, 5.15, 5.20, 5.21, 5.23, 5.24, 5.26, 5.26, 5.26, 5.28
2. The 6th and 7th values are 5.21 and 5.23.
3. Median: \( \frac{5.21 + 5.23}{2} = 5.22 \)
mode calculation
The mode is the value that appears most frequently in a data set. It's another measure of central tendency, which gives insight into the frequency of values.

To find the mode, simply:
  • Count how often each value occurs.
  • Identify the value(s) with the highest frequency.
In the case of tap water pH values:
  • The pH value 7.47 appears 4 times.
  • The mode is 7.47.
For bottled water:
  • The pH value 5.26 appears 3 times.
  • The mode is 5.26.
The mode provides information about the most common levels of acidity or alkalinity in the samples.
data set analysis
Analyzing a data set involves evaluating measures of central tendency (like mean, median, and mode) and understanding the spread and distribution of the values.

In this exercise, we look at pH values for tap and bottled water. Tap water has a mean of 7.50, median of 7.485, and mode of 7.47, indicating it is more alkaline. Bottled water has a mean of 5.19, median of 5.22, and mode of 5.26, showing it is more acidic.

Compare these findings to understand the data better:
  • Tap water is overall more alkaline with tighter clustering around 7.47-7.50.
  • Bottled water is more consistently acidic around 5.20-5.26.
Such analysis helps in understanding water quality variations between sources.
robustness of median
The median's robustness refers to its stability against extreme values or outliers. Unlike the mean, which can be heavily influenced by outliers, the median often remains unaffected.

Consider an error in recording the tap water pH:
  • Original mean: 7.50
  • Error mean (recorded 7.10 as 1.70): 6.88
However, the median remains: \[ \frac{7.47 + 7.50}{2} = 7.485 \] This shows that despite the erroneous outlier, the median stayed the same, demonstrating its robustness. This makes the median a reliable measure of central tendency, especially when dealing with potential outliers in a data set.

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Most popular questions from this chapter

The following data represent the pulse rates (beats per minute) of nine students enrolled in a section of Sullivan's Introductory Statistics course. Treat the nine students as a population. $$ \begin{array}{lc} \text { Student } & \text { Pulse } \\ \hline \text { Perpectual Bempah } & 76 \\ \hline \text { Megan Brooks } & 60 \\ \hline \text { Jeff Honeycutt } & 60 \\ \hline \text { Clarice Jefferson } & 81 \\ \hline \text { Crystal Kurtenbach } & 72 \\ \hline \text { Janette Lantka } & 80 \\ \hline \text { Kevin McCarthy } & 80 \\ \hline \text { Tammy Ohm } & 68 \\ \hline \text { Kathy Wojdyla } & 73 \\ \hline \end{array} $$ (a) Determine the population mean pulse. (b) Find three simple random samples of size 3 and determine the sample mean pulse of each sample. (c) Which samples result in a sample mean that overestimates the population mean? Which samples result in a sample mean that underestimates the population mean? Do any samples lead to a sample mean that equals the population mean?

One variable that is measured by online homework systems is the amount of time a student spends on homework for each section of the text. The following is a summary of the number of minutes a student spends for each section of the text for the fall 2014 semester in a College Algebra class at Joliet Junior College. $$ Q_{1}=42 \quad Q_{2}=51.5 \quad Q_{3}=72.5 $$ (a) Provide an interpretation of these results. (b) Determine and interpret the interquartile range. (c) Suppose a student spent 2 hours doing homework for a section. Is this an outlier? (d) Do you believe that the distribution of time spent doing homework is skewed or symmetric? Why?

The data set on the left represents the annual rate of return (in percent) of eight randomly sampled bond mutual funds, and the data set on the right represents the annual rate of return (in percent) of eight randomly sampled stock mutual funds. $$ \begin{array}{lll} \hline 2.0 & 1.9 & 1.8 \\ \hline 3.2 & 2.4 & 3.4 \\ \hline 1.6 & 2.7 & \\ \hline \end{array} $$ $$ \begin{array}{lll} \hline 8.4 & 7.2 & 7.6 \\ \hline 7.4 & 6.9 & 9.4 \\ \hline 9.1 & 8.1 & \\ \hline \end{array} $$ (a) Determine the mean and standard deviation of each data set. (b) Based only on the standard deviation, which data set has more spread? (c) What proportion of the observations is within one standard deviation of the mean for each data set? (d) The coefficient of variation, \(C V\), is defined as the ratio of the standard deviation to the mean of a data set, so $$ C V=\frac{\text { standard deviation }}{\text { mean }} $$ The coefficient of variation is unitless and allows for comparison in spread between two data sets by describing the amount of spread per unit mean. After all, larger numbers will likely have a larger standard deviation simply due to the size of the numbers. Compute the coefficient of variation for both data sets. Which data set do you believe has more "spread"? (e) Let's take this idea one step further. The following data represent the height of a random sample of 8 male college students. The data set on the left has their height measured in inches, and the data set on the right has their height measured in centimeters. $$ \begin{array}{lll} \hline 74 & 68 & 71 \\ \hline 66 & 72 & 69 \\ \hline 69 & 71 & \\ \hline \end{array} $$ $$ \begin{array}{lll} \hline 187.96 & 172.72 & 180.34 \\ \hline 167.64 & 182.88 & 175.26 \\ \hline 175.26 & 180.34 & \\ \hline \end{array} $$

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The average 20 - to 29 -year-old man is 69.6 inches tall, with a standard deviation of 3.0 inches, while the average 20 - to 29 -year-old woman is 64.1 inches tall, with a standard deviation of 3.8 inches. Who is relatively taller, a 67-inch man or a 62 -inch woman?

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