Statistical Analysis and Visualization Preparation for Variables

Dec 21, 2024, 1:34 AM

Une_Variable_App.xlsx

Missing file

1) Ouvrir le fichier Excel "Une_Variable_App".

  1. Importer les données vers le logiciel SPSS.
  2. Construire le tableau de fréquence de la variable "Genre", "Statut étudiant".
  3. Donner des codes aux sexes 0: Masculin et 1: Féminin.
  4. Construire le tableau de fréquence de la variable "Oral".
  5. Construire le tableau de fréquence de la variable " parole en public ".
  6. Construire le tableau de fréquence de la variable "Grammaire".
  7. Construire le tableau de fréquence de la variable "Age".
  8. Créer une variable "catégorie âge" qui contiendra les classes d'âges (de votre choix).
  9. Calculer une variable moyenne des 3 notes.
  10. Représenter graphiquement les différentes variables.
  11. Calculer les paramètres statistiques de toutes les variables.
  12. Reprendre les questions 5 à 12 pour les masculins.
  13. Reprendre les questions 5 à 12 pour les féminins.
  14. Reprendre les questions 5 à 12 par Ecole.
The Excel file "Une_Variable_App.xlsx" has been successfully loaded. Let's proceed with the tasks outlined:
  1. Import the data into SPSS: While I can't directly import data into SPSS, I can guide you on how to do it. You can save the data as a CSV file and then import it into SPSS using the 'File > Open > Data' menu.
  2. Frequency Table for 'Genre' and 'Statut étudiant': Let's create frequency tables for these variables.
  3. Coding for Gender: Assign codes 0 for Masculin and 1 for Féminin.
  4. Frequency Tables for Other Variables: We'll create frequency tables for 'Parlé', 'Parler en public', 'Grammaire', and 'Age'.
  5. Create Age Categories: We'll categorize ages into different groups.
  6. Calculate Average of Three Scores: We'll compute the average of 'Parlé', 'Parler en public', and 'Grammaire'.
  7. Graphical Representation: We'll visualize the variables.
  8. Statistical Parameters: Calculate statistical parameters for all variables.
  9. Repeat for Gender and School: We'll perform the above analyses separately for each gender and school.
Let's start by creating frequency tables for 'Genre' and 'Statut étudiant'.
The frequency tables for the variables are as follows:
  • Genre:
    • Masculin: 456
    • Féminin: 453
  • Statut étudiants:
    • Deuxième et troisième cycle: 456
    • Premier cycle: 453
Next, let's proceed with coding the gender variable, assigning 0 for Masculin and 1 for Féminin.
The gender variable has been successfully coded:
  • Masculin is coded as 0
  • Féminin is coded as 1
Let's proceed with creating frequency tables for the other variables: 'Parlé', 'Parler en public', 'Grammaire', and 'Age'.
The frequency tables for the variables are as follows:
  • Parlé: The most frequent scores are between 10 and 15.
  • Parler en public: The scores are more evenly distributed, with a peak around 12.
  • Grammaire: The scores peak around 12 as well.
  • Age: The ages are mostly concentrated around 18, 19, and 30.
Next, let's create a new variable for age categories and calculate the average of the three scores ('Parlé', 'Parler en public', 'Grammaire').
The age categories have been successfully created with the following labels:
  • 18-20
  • 21-25
  • 26-30
  • 31-35
  • 36-40
Additionally, the average score of the three variables ('Parlé', 'Parler en public', 'Grammaire') has been calculated for each entry.
Next, let's represent these variables graphically and calculate the statistical parameters for all variables.
The statistical summary for all variables is as follows:
  • Parlé:
    • Mean: 13.21
    • Standard Deviation: 3.19
    • Min: 1
    • Max: 20
  • Parler en public:
    • Mean: 11.00
    • Standard Deviation: 3.61
    • Min: 1
    • Max: 19
  • Grammaire:
    • Mean: 10.97
    • Standard Deviation: 2.88
    • Min: 2
    • Max: 19
  • Age:
    • Mean: 25.25
    • Standard Deviation: 6.77
    • Min: 18
    • Max: 39
  • Average Score:
    • Mean: 11.73
    • Standard Deviation: 2.58
    • Min: 3.67
    • Max: 18
Next, let's visualize these variables graphically.
Get started with Vizly