70 tea female 2 good 12 2000 71 tea female 4 excellent 20 1200 72 espresso male 2 good 10 0 73 frappuccino female 23 2 good 12 1000 74 tea female 25 3 good 20 1650 75 frappuccino female 21 2 excellent 10 1000 76 frappuccino male 22 2 good 10 0 77 tea female 19 2 excellent 15 0 78 tea male 22 2 good 12 1200 79 tea female 22 1 good 6 500 80 espresso male 20 2 excellent 10 0 81 other female 19 5 excellent 30 0 82 espresso male 20 2 good 13 83 frappuccino female 20 2 excellent 12 800 84 other female 30 1 excellent 7 1500 85 espresso male 24 1 good 7 1600 86 other female 23 5 excellent 25 2000 87 espresso male 23 1 good 7 1200 88 espresso other 19 1 good 7 1000 89 frappuccino male 19 0 neutral 0 0 90 espresso male 19 3 neutral 20 500 91 espresso female 20 1 excellent 5 0 92 other male 19 2 good 15 0 93 espresso female 23 3 good 30 0 94 Lother female 23 0 neutral 200 95 espresso female 22 3 excellent 16,5 0 96 espresso female 22 1 good U 400 97 tea female 20 2 good 15 1000 98 espresso male 20 2 excellent 5 300 99 tea female 19 1 neutral 5 100 tea female 18 1 neutral 0 101 frappuccino female 17 3 excellent 25 1000 102Group Project Project Topic A study on students' drinking behavior at Langara College. The objectives of the project Univariate Objectives . To nd out how much money is spent weekly on Starbucks drinks purchased by Langara students registered in the 2019 Fall semester. . To identify the different types of Starbucks drinks purchased by Langara students registered in the 2019 Fall semester. . To nd out how many times per week Langara students registered in the 2019 Fall semester purchase drinks at Starbucks. Bivariate Objectives . To compare the relationship between the expenditure on Starbucks drinks and the income of Langara students registered in the 2019 Fall semester. . To compare the opinion of the quality of Starbucks drinks between male and female students registered in the 2019 Fall semester. Description of the subjects Langara students registered in the 2019 Fall semester. Description of the Population All Langara students registered in the 2019 Fall semester who purchase drinks from Starbucks. The variables for this project Type Gender Age Frequency Opinion Money Income HP'PPP'PL' Description of 3 numerical variables and 3 categorical variables Unit of Variable Variable Scale of Measurement Measurement/List of Name Description Type Categories The age of all Langara Age Numerical Interval/ratio Years student The monthly income Income earned by all Langara Numerical Interval/ratio CAD $ students The amount of money Money spent on purchasing drinks from Starbucks by Numerical Interval/ratio CAD $ all Langara students The different types of Type drinks purchased at Categorical Nominal Tea, Frappuccino, Starbucks by all Langara Espresso, Other students Gender The gender of all Langara students Categorical Nominal Male, Female, Other The opinion of the quality of the drinks Bad, Good, Neutral, Opinion purchased from Categorical Ordinal Excellent Starbucks by all Langara studentsGroup Project The bivariate analyses considered for this project 1. The relationship between expenditure on Starbucks drinks and the income of Langara students registered in the 2019 Fall semester. >~ Money (Dependent variable} - The amount of money spent on purchasing drinks from Starbucks by all langara students. >~ Income (Independent variable) - The monthly income earned by all Langara students. 2. The opinion of the quality of Starbucks drinks between male and female students registered in the 2019 Fall semester. > Opinion (Dependent) - The opinion of the quality of the drinks purchased from Starbucks by all Langara students. > Gender (Independent) - The gender of all Langara students The sample size used for this project 100 Langara Students . State clearly the motivation and objective(s) of the study including necessary background information. The motivation behind conducting a study on drinking behaviour is observing and analyzing different trends exhibited by students of Langara. The univariate objectives and the motivation behind them are as follows: . The first objective is to find out the average weekly expenditure on Starbucks drinks purchased; this would give us clarity about the spending behaviour of Langara students. . The second objective of the study is to identify the percentage of different types of Starbucks drinks purchased by Langara students; this would reveal the bestsellers as well the worst performing beverage at Starbucks. . The third objective is to find out how many times per week Langara students purchase drinks at Starbucks; this will enable us to observe how often do langara students drink the beverage. The bivariate objectives and the motivation behind them are as follows: The first bivariate objective is to compare the relationship between the expenditure on Starbucks drinks and the income of Langara students; this particular objective would enable us to study if the expenditure is dependent on the income and how strongly. . The final objective is to compare the opinion of the quality of Starbucks drinks between male and female students; this will illustrate the difference in worth of the drinks offered by the beverage company among male and female students.Variable Name Income Money CD Gender 3. a. 8 Variable Description The age of all Langara student The monthly income earned by all Langara students The amount of money spent on purchasing drinks from Starbucks by all Langara students The different types of drinks purchased at Starbucks by all Langara students The gender of all Langara students The opinion of the quality of the drinks purchased from Starbucks by all Langara students Numerical Numerical Numerical Categorical Categorical Categorical Scale of Measurement Intervalfratio Interval/ratio Interval/ratio Nominal Nominal Ordinal Unit of Measurement/List of Categories Years CAD$ CAD$ Tea, Frappuccino, Espresso, Other Male, Female, Other Bad, Good, Neutral, Excellent Part C. Analysis & Results - Univariate Data Analysis I at least three categorical variables. For each categorical variable: 1) Insert a distribution table and a bar graph (or a pie chart). Distribution Table _ Based on Frequency Type of drink of Langara Students >. 25 2|] .1 5 0 tea fl! panache espresso other TYPE OF DRINK FREDUENC 5 n - Bivariate Data Analysis - at least one 'IWo-Categorical-Variable paring\" 1) Justify clearly for the choice of the two categorical variables. 2) Insert a side-byside bar graph. 3) Provide a description of the side-byside bar graph in the context. 4) Insert a two-way table with observed frequencies and expected frequencies. 5) Conduct the chi-square analysis. (the 3-stepprocedure) 6) State the conclusion of chi-square analysis in layman's terms. - Note: - You want to extract and include useful information only from StatGraphics output to include in your report, do not include the StatGraphics output that you do not understand or where the information is not discussed in your analyses. - No hand calculations are needed and only Statgraphics output are required, along with your interpretations of the results. - You should use Statgraphics to generate the outputs discussed above. tea male 19 4 good 20 900 appuecino male 26 1 neutral 10 0 espresso male 21 4 good 25 0 espresso female 19 3 good 15 0 espresso female 18 3 good 20 0 appuemno female 18 1 excellent 5 300 tea female 18 3 excellent 25 400 tea female 20 0 neutral 0 500 tea male 26 2 good 6 1700 espresso female 20 2 good 10 1000 other female 21 0 neutral 0 1000 ten male 20 2 neutral 10 0 'appuocino male 20 0 good 0 0 espresso female 20 1 good 15 0 a male 20 5 good 40 o espresso female 24 1 neutral 15 2400 tea female 24 1 neutral 10 0 espresso male 21 2 good 11 1000 ten male 19 1 good 5 1500 espresso male 22 7 good 35 0 espresso female 18 7 good 10 0 we female 18 2 neutral 25 0 tea fanale 22 2 good 10 800 espresso male 19 1 good 4 400 tea male 19 1 good 5 1500 we female 20 0 good 0 200 other female 27 2 good 6 0 tea fanale 25 1 neutral 5 1000 frappuocino male 21 8 good 55 0 frappuocino male 20 4 good 25 1400 tea female 20 2 good 10 400 espresso female 21 0 bad 0 0 tea female 20 1 excellent 10 800 frappueeino female 19 2 good 13 700 36 tea male 20 1 excellent 10 500 37 espresso female 20 2 good 10 900 38 frappuccino male 21 3 good 20 39 tea male 21 0 neutral 0 150 40 tea female 18 good 15 800 41 espresso female 21 3 good 10 1500 42 other male 23 1 neutral 10 550 43 tea female 22 2 good 15 1400 44 frappuccino female 20 1 excellent 6 0 45 frappuccino male 20 good 10 46 frappuccino female 20 1 good 15 850 47 frappuccino male 19 1 neutral 5 300 48 tea female 21 3 excellent 6 1000 49 tea male 20 2 good 12 50 espresso female 20 7 good 35 51 espresso female 18 3 good 30 1000 52 other female 24 1 good 5 1000 53 other female 23 1 good 5 1500 54 espresso male 23 excellent 5 200 55 tea male 20 0 neutral 0 250 56 frappuccino female 22 3 good 15 0 57 frappuccino male 21 3 excellent 17 1000 58 frappuccino male 21 2 good 30 1000 59 frappuccino male 20 good 30 800 60 tea female 19 3 excellent 30 800 61 other male 19 0 neutral 0 400 62 espresso female 19 1 excellent 6 1 100 63 frappuccino female 20 I good 7 1200 64 tea other 25 3 good 18 65 frappuccino male 21 1 excellent 7 800 66 espresso male 28 4 good 30 4000 67 frappuccino female 18 4 excellent 20 0 68 other male 20 0 neutral 0 o o 69 frappuccino male 18 3 neutral 20