SHS1 Mathematics · Semester 2, Week 14

Statistical Reasoning and Its Application in Real Life

Lesson notes

Learning Objectives

Indicator: 1.4.3.LI.2 - Analyse (including using appropriate computer applications) and interpret data using descriptive statistics (i.e., measures of central tendency/location and minimum and maximum values) and justify which of the averages best represents the data.

By the end of the lesson, learners can:

  1. Calculate the mean, median and mode of ungrouped data using correct formulas and procedures.
  2. Calculate the mean, median and mode of grouped data using the class mid-point, median class and modal class approaches.
  3. State and apply the empirical relationship 2Mean + Mode = 3Median to find any one measure when the other two are known.
  4. Identify the effect of extreme values on the mean, median and mode, and justify which measure best represents a given dataset.
  5. Use a spreadsheet application (where available) to compute the mean, median, mode, minimum and maximum of a dataset and interpret the outputs.

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Curriculum details

Strand
Making Sense of and Using Data (Strand 4)
Sub-strand
Statistical Reasoning and Its Application in Real Life (4.1)
Content standard
1.4.1.CS.2 - Demonstrate conceptual understanding of data organisation and presentation for grouped and ungrouped data, including 3D graphs/charts with appropriate digital technology. 1.4.1.LO.2 Organise and present data (grouped/ungrouped) using frequency tables, line graphs, pie charts, multiple bar graphs, infographics, etc.; generate 3D graphs/charts with appropriate digital technology (where available) and solve problems on them.
Indicator
1.4.3.LI.2 - Analyse (including using appropriate computer applications) and interpret data using descriptive statistics (i.e., measures of central tendency/location and minimum and maximum values) and justify which of the averages best represents the data.
Suggested placement
Semester 2, Week 14 (Week 34 of the year)

Our suggestion, laid out in curriculum order across three terms of twelve weeks. NaCCA does not fix the week, so follow your school's scheme of learning.

Source document note

The official curriculum document has a fault in this entry, so the curriculum text above is transcribed exactly as printed:

  • indicator text - p.138: this indicator is printed 1.4.3.LI.2 but sits under content standard 1.4.1.CS.2 and is assessed by 1.4.1.AS.2, and no sub-strand 1.4.3 exists in this year, so the third segment appears to be a typing error; transcribed exactly as printed
  • exemplars - p.138: the equation text on this page is set in a CambriaMath subset whose /ToUnicode map doubles every letter and gets many of them wrong, and the glyph ids could not be lined up with the extraction to repair it, so any italic variable here may be doubled or be the wrong letter; read the page
  • exemplars - p.139: this exemplar sets a two-dimensional construct - a stacked fraction, an index or a column vector - which the text layer flattens into separate lines, so the parts are present but their vertical arrangement is lost; read the page
Curriculum reference
NaCCA curriculum document, p. 138

Exemplars (from the NaCCA curriculum)

Using collaborative activities, task learners to discuss the concepts mean, median and mode and how to obtain them by dwelling on ideas from JHS. Then, solve some problems to consolidate their ideas on these concepts - mean, median and mode for grouped data.
Example 1: Mode for grouped data is found using the following mode formula.
The grouped-data mode formula: L + h times (fm - f1) over (fm - f1) + (fm - f2).
The formula for the mode of grouped data, written large: Mode equals L plus h times the fraction whose numerator is f sub m minus f sub 1 and whose denominator is (f sub m minus f sub 1) plus (f sub m minus f sub 2).
Where:
- L is the lower limit of the modal class.
- 'h' is the size of the class interval.
- 'fm' is the frequency of the modal class.
- 'f1' is the frequency of the class preceding the modal class.
- 'f2' is the frequency of the class succeeding the modal class.
The median formula for grouped data is given as, 𝒏𝒏 − 𝑭𝑭 𝒎𝒎𝒎𝒎𝒎𝒎𝒎𝒎𝒎𝒎𝒎𝒎 = 𝑳𝑳 𝒎𝒎 + [ 𝟐𝟐 ] 𝒊𝒊 𝑭𝑭 𝒎𝒎
Where: n = total frequency F = cumulative frequency F m = frequency of other class median I= class width L m = lower boundary of the class median
Similarly, we have a mean formula for grouped data. Which is expressed as: ∑ 𝑓𝑓𝑓𝑓 𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚 = ∑𝑓𝑓 Where: ∑ = is the summation sign x = the mean value of the set of given data. f = frequency of the individual data
Example 2: Establish the relation between mean, median and mode.
The three measures of central values, i.e., mean, median, and mode, are closely connected by the following relations (called an empirical relationship). 2Mean + Mode = 3Median For example, we have data whose mode = 65 and median = 61.6. Then, we can find the mean using the above mean, median, and mode relation. 2Mean + Mode = 3 Median ∴2Mean = 3 × 61.6 - 65 ∴2Mean = 119.8 ⇒ Mean = 119.8/2 ⇒ Mean = 59.9
Example 3: Establish that the mean is a form of average The term average is frequently used in everyday life to denote a value that is typical for a group of quantities. Average rainfall in a month or the average age of employees of an Organisation is a typical example.
- Average is the value that indicates what is most likely to be expected.
- They help to summarise large data into a single value.
An average tends to lie centrally with the values of the observations arranged in ascending order of magnitude. So, we call it an average measure of the central tendency of the data. Averages are of different types. What we refer to as mean, i.e., the arithmetic mean, is one of the averages. Mean is called the mathematical average, whereas median and mode are positional averages. 
Hierarchy of averages: mathematical (arithmetic, geometric, harmonic mean) and positional (median, mode).
A hierarchy chart. An orange box at the top reads "Central Tendency or Average"; it branches to blue boxes "Mathematical Average" and "Positional Average". Mathematical Average leads to a green "Mean", which leads to three pink boxes: Arithmetic Mean, Geometric Mean and Harmonic Mean. Positional Average leads to green boxes "Median" and "Mode".
Using collaborative activities, task learners on the difference between mean and median.
Example: A department of an Organisation has 5 employees, which include a supervisor and four executives. The executives draw a salary of GH 10,000 per month, while the supervisor gets GH 40,000.
Solution: Mean = (10000 + 10000 + 10000 + 10000 + 40000)/5 = 80000/5 = 16000 Thus, the mean salary is GH 16,000.
To find the median, we consider the ascending order: 10000, 10000, 10000, 10000, 40000. n = 5, so, (n + 1)/2 = 3 Thus, the median is the 3rd observation. Median = GH10,000
Thus, the median is GH10,000 per month.
Now, let us compare the two measures of central tendencies. We can observe that the mean salary of GH 16,000 does not give even an estimated salary of any of the employees, whereas the median salary represents the data more effectively. One of the weaknesses of the mean is that it gets affected by extreme values.
Using collaborative activities, task learners to discuss the effect of an extreme value on the mean.
Example: The following graph shows how extreme values affect mean and median:
Three distribution curves captioned right-skewed, left-skewed and symmetric, with mean and median marked on each.
Notes on symmetric and skewed data above three distribution curves. The first is captioned "(a) Right-Skewed" with Median less than Mean, the second "(b) Left-Skewed" with Mean less than Median, and the third "(c) Symmetric" with Median equal to Mean; each has its mean and median marked on the horizontal axis.
So, mean is to be used when we don't have extremes in the data. If we have extreme points, then the median gives a better estimation.,
Teaching and Learning Resources:
- * Graph sheets * mathematical sets * computer with data organising software like MS Excel, MS
- PowerPoint, etc. * A4, A3 papers * flip charts
- * markers * colour pens, etc. * Reports from analysed data * manila cards
- * worksheets * posters * teaching presentations * enquiry project-template
Assessment (1.4.1.AS.2). The document marks these depth-of-knowledge levels for this indicator: Level 1 Recall; Level 2 Skills of conceptual understanding; Level 3 Strategic reasoning; Level 4 Extended critical thinking and reasoning.