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Year 9 Statistics Test

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Year 9 Statistics Test

Year 9 Statistics Test

Statistics and data analysis illustration

📊 Part A: Multiple Choice Questions (10 marks)

Instructions: Circle the letter of the correct answer. Each question is worth 1 mark.

1. What is the mean of the data set: 4, 7, 9, 12, 8?

A) 7

B) 8

C) 9

D) 10

2. The median of the data set 3, 8, 5, 12, 9, 7, 6 is:

A) 6

B) 7

C) 8

D) 9

3. Which measure of central tendency is most affected by outliers?

A) Mean

B) Median

C) Mode

D) Range

4. The range of the data set 15, 23, 8, 19, 12, 27, 11 is:

A) 15

B) 19

C) 23

D) 27

5. A sample is:

A) The entire group being studied

B) A subset of the population

C) Always larger than the population

D) The same as the population

6. Which type of graph is best for showing how data changes over time?

A) Bar graph

B) Pie chart

C) Line graph

D) Histogram

7. What is the mode of the data set: 2, 5, 3, 5, 8, 5, 9?

A) 2

B) 3

C) 5

D) 9

8. A biased sample is one that:

A) Represents the population fairly

B) Does not represent the population fairly

C) Is always too small

D) Contains no errors

9. Which sampling method involves dividing the population into groups?

A) Simple random sampling

B) Systematic sampling

C) Stratified sampling

D) Convenience sampling

10. The interquartile range (IQR) measures:

A) The middle 50% of the data

B) The entire spread of data

C) Only the highest values

D) Only the lowest values

📈 Part B: Calculations and Data Interpretation (20 marks)

11. The table below shows the number of books read by students in Year 9 during the holidays. (5 marks)

Books Read: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10

Frequency: 2, 4, 6, 8, 5, 3, 4, 2, 1, 1, 1

a) Calculate the mean number of books read. Show your working. (2 marks)

b) Find the median number of books read. (1 mark)

c) Determine the mode. (1 mark)

d) Calculate the range. (1 mark)

12. A survey was conducted about favourite sports among 120 students. The results were: Football 45, Basketball 28, Tennis 22, Swimming 15, Other 10. (4 marks)

a) What percentage of students chose Football as their favourite sport? (2 marks)

b) Draw a bar graph to represent this data in the space below. (2 marks)

13. The box plot below represents the test scores of two classes. (6 marks)

Note: Imagine a box plot showing Class A with Q1=65, Median=75, Q3=85, Min=50, Max=95 and Class B with Q1=70, Median=78, Q3=88, Min=60, Max=90

a) Which class has the higher median score? (1 mark)

b) Calculate the interquartile range (IQR) for Class A. (2 marks)

c) Which class shows more variability in scores? Explain your answer. (3 marks)

14. A data set has the following five-number summary: Min = 12, Q1 = 18, Median = 25, Q3 = 32, Max = 45. (5 marks)

a) Calculate the range. (1 mark)

b) Calculate the interquartile range. (1 mark)

c) Draw a box plot for this data in the space below. (3 marks)

🔍 Part C: Data Collection and Analysis (12 marks)

15. A school wants to investigate students' opinions about the canteen food. (6 marks)

a) Identify the population for this investigation. (1 mark)

b) Suggest an appropriate sample size and explain why this size would be suitable. (2 marks)

c) Describe one potential source of bias in this investigation and suggest how it could be avoided. (3 marks)

16. A researcher claims that "Most teenagers spend more than 4 hours per day on social media." (6 marks)

a) Design a data collection method to test this claim. Include details about sampling method, sample size, and data collection technique. (4 marks)

b) Identify two potential limitations of your proposed method. (2 marks)

🎯 Part D: Advanced Analysis and Critical Thinking (8 marks)

17. A company conducted a survey about their new product by interviewing customers outside their main store on a Saturday afternoon. The results showed that 85% of respondents were satisfied with the product. (4 marks)

Critically evaluate this survey method and results. In your response, discuss potential biases, limitations, and suggest improvements to make the survey more reliable.

18. The graph below shows the relationship between hours of study per week and test scores for a group of students. (4 marks)

Note: Imagine a scatter plot showing a positive correlation between study hours (x-axis, 0-20 hours) and test scores (y-axis, 40-100%)

Analyse this graph and provide evidence-based conclusions about the relationship between study time and test performance. Discuss any limitations in drawing conclusions from this data.

📋 Instructions and Mark Allocation Summary

Part A (Multiple Choice): 10 marks - Basic statistical concepts and definitions

Part B (Calculations): 20 marks - Statistical calculations and data interpretation

Part C (Data Collection): 12 marks - Planning investigations and identifying bias

Part D (Advanced Analysis): 8 marks - Critical evaluation and evidence-based conclusions

Total: 50 marks

Grade Distribution:

• C Grade Questions (70%): Questions 1-10, 11-14 - Focus on basic understanding and application

• B Grade Questions (20%): Questions 15-16 - Intermediate skills in planning and analysis

• A Grade Questions (10%): Questions 17-18 - Advanced reasoning and critical evaluation

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