Y12 EC Data Science Wk1 Lesson

Multiple Choice

What is the difference between quantitative and qualitative data?

• Quantitative data is numerical, while qualitative data is descriptive.

• Quantitative data is descriptive, while qualitative data is numerical.

• Quantitative data is always more accurate than qualitative data.

• Qualitative data cannot be measured.

Open Ended

Discuss how data science, data analysis and data engineer roles overlap and converge under Data science.

Open Ended

How do the 2 methods of data collection differ?

Multiple Select

What are the key questions that quantitative data answers?

• How many?

• How often?

• How much?

• What type?

Multiple Choice

Qualitative data can answer questions such as: How has this happened? Why has this happened?

• What is qualitative data?

• What are examples of qualitative data?

• How is qualitative data represented?

• What questions can qualitative data answer?

Multiple Select

What are the four levels of measurement applied to data?

• Nominal

• Ordinal

• Interval

• Ratio

Multiple Choice

Explain the concept of sampling techniques in data collection using a real-world scenario.

• Maya and Mia created a fake dataset to represent the population

• Sampling techniques only apply to qualitative data

• Henry selected a subset of individuals from a larger population to gather data, this is an example of sampling techniques in data collection.

• Sampling techniques are not necessary in data collection

Multiple Choice

Discuss the importance of using appropriate sampling techniques in data collection.

• It ensures that the data collected is representative of the population.

• Using inappropriate sampling techniques leads to better data quality.

• It has no impact on the accuracy of the data collected.

• Sampling techniques are only important for small-scale data collection.

Multiple Choice

What are the two main types of manual methods of data collection?

• Active data collection

• Passive data collection

• Both A and B

• None of the above

Open Ended

What is passive data collection?

Multiple Choice

What are the key aspects to assess when evaluating primary and secondary data?

• Relevance

• Accuracy

• Validity

• All of the above

Multiple Choice

Data _____ helps ensure that an incorrect entry isn't made.

• validation
• checks
• accuracy
• integrity

Multiple Choice

What is the difference between validity and reliability in data collection?

• Validity measures accuracy

• Reliability measures consistency

• Both are the same

• Neither is important

Multiple Choice

For the same dataset (photos), which of these problems would most likely happen if there was a glitch that caused the DATE of all photos to be the same?

• Couldn't view any photos

• Couldn't sort photos by date

• Couldn't filter to photos taken before 12 noon

• Couldn't email the photos to anyone

Multiple Choice

What are the sources of primary data mentioned in the text?

• diaries, correspondence

• government documents

• biographies, autobiographies

• statistical data

Multiple Choice

What is secondary data analysis?

• Collecting new data from primary sources.

• Analysing data that has already been collected by others.

• Conducting experiments in a laboratory.

• Observing participants in a natural setting.

Multiple Choice

What is a strength of secondary data analysis?

• It always provides the most current data.

• It is less time-consuming than collecting primary data.

• It requires no ethical considerations.

• It allows for direct interaction with participants.

Multiple Choice

Which of the following is a weakness of secondary data analysis?

• It is always expensive.

• It may not be specific to the researcher's needs.

• It requires a large sample size.

• It provides only qualitative data.

Multiple Choice

What are the advantages of primary data?

• Relevance

• Cost

• Burden

• Expertise

Multiple Choice

What is the main reason for evaluating the source of secondary data?

• To ensure it is expensive.

• To confirm it is primary data.

• To assess its relevance and reliability.

• To determine if it is quantitative.

Multiple Choice

What tools can you use in a spreadsheet application to explore data?

• Filter

• Sort

• Function

• All of the above

Multiple Choice

What are some basic methods of data analysis possible in spreadsheet programs?

• Filters, sort, formulas and functions

• Graphs and charts only

• Data entry and formatting

• Only sorting data

Multiple Choice

What are the steps to apply filters in Excel?

• Highlight the top row

• Click on the funnel icon

• Create a filter

• All of the above

Multiple Choice

Select ______________ from the functions drop-down menu to add a set of numbers. 

• average
• count
• max
• sum

Multiple Choice

What is the purpose of the wizard mentioned in the text?

• To guide through the formula

• To create charts

• To sort data

• To filter data

Multiple Choice

What is the focus of Activity 9?

• Exploring data from your school

• Atlas of Living Australia

• Treasure hunt design

• None of the above

Multiple Choice

Data exploration lies in which stage?

• 1 st stage

• 2nd stage

• 3rd stage

• 4th stage