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Question 1:
a)
Variable | Type of Data | Levels of Measurement | Measurement Scales |
Student’s name | Categorical | | Nominal |
Age (years) | Numerical | | Ratio |
Contact Number | Categorical | | |
Final Result | Categorical | | |

b)

Statistics |
| Age (years) | Number of hours studied |
N | Valid | 110 | 110 |
| Missing | 0 | 0 |
Mean | 24.27 | 5.19 |
Mode | 24 | 6 |
Std. Deviation | 1.729 | 2.913 |
Variance | 2.989 | 8.486 |

Explain:

c)
Bar graph showing QBM MARKS (%)
Bar graph showing QBM MARKS (%)
Minimum = 10
Minimum = 10
Lower Quartile = 37,00
Lower Quartile = 37,00
Median = 56.50
Median = 56.50
Upper quartile = 83.25
Upper quartile = 83.25
Maximum = 98
Maximum = 98

Statistics |
QBM Marks (%) |
N | Valid | 110 |
| Missing | 0 |
Median | 56.50 |
Range | 88 |
Minimum | 10 |
Maximum | 98 |
Percentiles | 25 | 37.00 |
| 50 | 56.50 |
| 75 | 83.25 |

d)

| Nationality |
| Chinese | Korean | Indian | Russian | Thai | Sri Lanka |
| Count | Count | Count | Count | Count | Count |
Gender | Female | 7 | 6 | 6 | 5 | 5 | 2 |
| Male | 25 | 23 | 11 | 12 | 6 | 2 |

Bar Graph showing nationality distribution
Bar Graph showing nationality distribution

e)

Histogram showing the Distribution of Student Heights
Histogram showing the Distribution of Student Heights

QUESTION 2:
Scatter diagram displaying the relationship between the “QBM Marks (%)” and “Number of hours studied”
Scatter diagram displaying the relationship between the “QBM Marks (%)” and “Number of hours studied”

b)

c)

Correlations |
| Number of hours studied | QBM Marks (%) |
Number of hours studied | Pearson Correlation | 1 | .931** |
| Sig. (2-tailed) | | .000 |
| N | 110 | 110 |
QBM Marks (%) | Pearson Correlation | .931** | 1 |
| Sig. (2-tailed) | .000 | |
| N | 110 | 110 |
**. Correlation is significant at the 0.01 level (2-tailed). |

d)

e)

Model...