State whether the following statements are true or false:
In a sample survey, information is obtained from the entire population.
While collecting statistical data, issues of privacy and ethics must be considered.
State whether the following is an instance of a sample or a census:
A random selection of some people at a mall.
A stock take of all the goods in store.
A crash test of new cars just manufactured by a factory.
Asking all the teachers at your school whether they approve of a new class timetable.
An election to decide the premier of Queensland.
Asking a random selection of students in your class whether they approve of the teacher.
A taste test of a large batch of cookies you have just baked.
A body scan of randomly selected passengers at Melbourne International Airport.
State whether the following methods are used in analysing the results of a statistical investigation:
Identifying clusters and outliers in a histogram.
Calculating statistical quantities like mean and median.
Using a secondary data source to obtain statistical data.
Constructing a histogram from survey results.
Selecting a sampling method.
Observing that the distribution of data has a positive skew.
Identifying the mode from a frequency table.
Organising data into a frequency table.
State whether the following methods are used in interpreting the results of a statistical investigation:
Posing a statistical question.
Looking for patterns in survey results displayed as a histogram.
Performing calculations to determine the location and spread of the data.
Constructing a stem and leaf plot from survey results.
Classifying the data into different groups.
Finding the median of a set of data.
Comparing the spread between two sets of data.
Choosing whether to use a sample or census.
Classify the following examples of data as either:
Numerical discrete
Numerical continuous
Categorical nominal
Categorical ordinal
Number of people at a carnival.
Time spent playing games each day.
Length of pencils in mm.
Year of birth
Time taken to get to school in minutes.
Favourite movies.
Weight of dogs in kg.
Number of siblings.
Number of births.
Driving license status.
Hair colour (black, red, blonde, etc).
Hourly rate of pay.
Country of birth.