LS5025 Recap Statistics Quiz

What is the purpose of descriptive statistics?

• A) To make predictions about future events

• B) To summarise and describe the main features of a dataset

• C) To test hypotheses and determine statistical significance

• D) To establish cause-and-effect relationships between variables

Which of the following is a measure of variability in a dataset?

• A) Mean

• B) Median

• C) Standard deviation

• D) Mode

What is the main difference between descriptive and inferential statistics?

• A) Descriptive statistics focus on summarising and describing data, while inferential statistics involve making inferences and generalisations about populations based on sample data.

• B) Descriptive statistics involve hypothesis testing, while inferential statistics involve data summarisation and visualisation.

• C) Descriptive statistics make predictions about future events, while inferential statistics measure central tendency and variability in a dataset.

• D) Descriptive statistics generalise findings from a sample to a larger population, while inferential statistics describe data from a sample or population.

Which of the following correctly represents the four steps of hypothesis testing?

• A) State the null hypothesis, select the significance level, calculate the p-value, make a decision.

• B) Define the alternative hypothesis, conduct data collection, analyse the results, interpret the findings.

• C) Formulate the research question, design the experiment, analyse the data, draw conclusions.

• D) Specify the null and alternative hypotheses, determine the test statistic, calculate the p-value, make a decision based on the p-value and significance level.

In statistics, what does the term "population" refer to?

• A small subset of data

• A sample of individuals

• The entire group being studied

• The variability within a dataset

What does the p-value in hypothesis testing represent?

• The probability of making a Type I error

• The strength of the relationship between variables

• The size of the effect observed

• The probability of obtaining the observed result by chance

Which of the following is an example of continuous data?

• Number of siblings a person has

• Number of cars in a parking lot

• Type of smartphone owned by individuals

• Time taken to complete a race

Which of the following is an example of discrete data?

• The height of students in a classroom

• The number of books on a shelf

• The temperature recorded hourly in a day

• The weight of apples in a basket

Weight measurements are an example of what type of data?

• Interval

• Nominal

• Ratio

• Ordinal

Which of the following is an example of nominal data?

• The weight of parcels

• Blood groups

• The ranking of students in a competition

• The temperature in a room