OPMT 5515 Quantitative Methods Introduction & Lecture 1 2024-09-02 Armarn Roland OPMT 1130 1 About Me Education/Work 2024-09-02 Armarn Roland OPMT 1110 2 What is Statistics? Uncertainty 2024-09-02 Data Armarn Roland OPMT 1130 Inference 3 How Statistics? Business Problem 2024-09-02 Statistics Armarn Roland OPMT 1130 Business Solutions 4 Lecture 1: Descriptive Statistics – Measures of Centre (Mean, Median, Mode, Weighted Mean) 2024-09-02 Armarn Roland OPMT 1130 5 Population vs. Sample Population: ALL the elements from a particular group being examined • The number of units (data) in a population is referred to with the variable “N” • Example: All the BCIT students regardless of program. Sample: a SUBSET of the population; one or more observations drawn from the population • The number of units (data) in a sample is referred to with the variable “n” • Example: HRMG students. 2024-09-02 Armarn Roland OPMT 1130 6 Central Tendency The central tendency is a central, or “typical”, value in the data The most common metrics for the central tendency are: Mean: the average Median: the middle value Mode: the most frequent value 2024-09-02 Armarn Roland OPMT 1130 7 MEAN เดฅ (read “x-bar”) or ๐ (read “mu”): the Mean, ๐ average; determined by adding all the data values together and dividing by the total number of data Total of all the values Mean = Number of values σ ๐ฅ๐ ๐= ๐ (Population) 2024-09-02 σ ๐ฅ๐ ๐ฅ= ๐ (Sample) Armarn Roland OPMT 1130 8 Ex 1 You randomly select 3 students and ask them what their grade was in Business Math. Jane got 99, Jeff 91, Barney 80. a) Calculate the average grade for this sample. x1 = 99 (Jane) Mean, ๐ฅาง = x2 = 91 (Jeff) x3 = 80 (Barney) σ ๐ฅ๐ ๐ 99+91+80 270 ๐ฅาง = = = 90 3 3 2024-09-02 Armarn Roland OPMT 1130 9 Ex 1 (cont’d) b) Fred whispers to you that he only got 6. Recalculate the average, including Fred’s result x1 = 99 (Jane) x4 = 6 (Fred) x2 = 91 (Jeff) Updated Mean, ๐ฅาง = x3 = 80 (Barney) σ ๐ฅ๐ ๐ 99+91+80+6 276 ๐ฅาง = = =69 4 4 The mean is greatly affected by extremely large or small values called OUTLIERS. 2024-09-02 Armarn Roland OPMT 1130 10 Median เทฅ (read “x-tilde”): when the data is Median, ๐ ordered from smallest to largest, the median is the middle value (if there are two middle values, we take the average of the two values) 2024-09-02 Armarn Roland OPMT 1130 11 Ex 2 A small apartment building has only 6 households. Their annual incomes are: $55,000 $6,700,000 $71,000 $62,000 $60,000 $66,000 a) Calculate the both the mean and median income. 55๐พ + 6,700๐พ + 71๐พ + 62๐พ + 60๐พ + 66๐พ 7,014,000 = 6 6 ๐ฅาง = $๐, ๐๐๐, ๐๐๐ ๐ด๐๐๐: ๐ฅาง = Median: First order from smallest to largest $55,000 $60,000 $62,000 $66,000 $71,000 $6,700,000 62,000 + 66,000 ๐๐๐๐๐๐ = = $๐๐, ๐๐๐ 2 Which is more accurate? If there are extremely large or small values the median is a better measure of central location 2024-09-02 Armarn Roland OPMT 1130 12 Mode Mode, ๐ด: the data value that appears most often within the set of data 2024-09-02 Armarn Roland OPMT 1130 13 Ex 3 Listed below are the ages of groups of students. Determine the mode for each group. Mode = 20 a) 18 20 20 20 21 25 25 b) 18 20 20 20 21 25 25 25 Mode = 20 and 25 c) 18 18 18 20 20 20 21 21 21 25 25 25 No mode since all numbers occur the same number of times. If there are no mode, or many modes, it is not a very reliable measure of the centre 2024-09-02 Armarn Roland OPMT 1130 14 Weighted Average เดฅ๐ : similar to an ordinary arithmetic mean Weighted Mean, ๐ (see above), except that instead of each of the data points contributing equally to the final average, some data points contribute more than others. Thus, each data point has a weighted multiplier, W, applied to it σ ๐๐ เดฅ๐ = ๐ σ๐ 2024-09-02 Armarn Roland OPMT 1130 15