Year 12 Core Module
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
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| Trend | show 🗑
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| Cycles | show 🗑
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| Seasonality | show 🗑
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| Irregular (random) fluctuations | show 🗑
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| show | is a technique used to eliminate some of the irregular
fluctuations in a time series plot so that features such as trend are more
easily seen.
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| show | are used to quantify the seasonal variation in a time
series.
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| Deseasonalise | show 🗑
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| show | The process of a converting seasonal data back into its original form is
called
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| show | are data in which each observation involves recording
information about two variables for the same person or thing. An
example would be the heights and weights of the children in a
preschool.
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| Residuals | show 🗑
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| Interpolation | show 🗑
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| show | Predicting outside the range of data
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| Slope | show 🗑
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| Coefficient of determination | show 🗑
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| show | can be used to test the linearity assumption by plotting
the residuals against the EV.
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| show | gives a measure of the strength of a
linear association
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| Scatterplot | show 🗑
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| show | can be used to display, identify and describe the
association between a numerical and a categorical variable
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| show | can be used to graphically display the
information contained in a two-way frequency table. It is a useful tool
for identifying relationships between two categorical variables
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| show | are used as the starting point for investigating the association between two categorical variables
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| show | also known as standardised scores. The value of the standard score gives the distance and direction of a data
value from the mean in terms of standard deviations.
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| 68-95-99.7% rule | show 🗑
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| The normal distribution | show 🗑
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| show | data points away from the majority of the data set
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| show | a graphical representation of a five-number
summary
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| show | A listing of the median, M, the quartiles Q1 and Q3, and the smallest and largest data values of a distribution, written in the order - minimum, Q1, M, Q3, maximum
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| Interquartile range | show 🗑
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| show | It is the midpoint of a distribution dividing an ordered
dataset into two equal parts.
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| Univariate Data | show 🗑
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| show | are used to represent characteristics of individuals
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| show | generate data values that can only be used
by name
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| Ordinal Variable | show 🗑
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| Numerical Variables | show 🗑
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| show | represent quantities – e.g. the number of cars in a car park
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| show | represent quantities that are measured rather than counted –
for example, weights in kg.
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| Bar Charts | show 🗑
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| show | used to display the frequency distribution of a numerical variable. It is suitable for medium- to large-sized datasets.
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Review the information in the table. When you are ready to quiz yourself you can hide individual columns or the entire table. Then you can click on the empty cells to reveal the answer. Try to recall what will be displayed before clicking the empty cell.
To hide a column, click on the column name.
To hide the entire table, click on the "Hide All" button.
You may also shuffle the rows of the table by clicking on the "Shuffle" button.
Or sort by any of the columns using the down arrow next to any column heading.
If you know all the data on any row, you can temporarily remove it by tapping the trash can to the right of the row.
To hide a column, click on the column name.
To hide the entire table, click on the "Hide All" button.
You may also shuffle the rows of the table by clicking on the "Shuffle" button.
Or sort by any of the columns using the down arrow next to any column heading.
If you know all the data on any row, you can temporarily remove it by tapping the trash can to the right of the row.
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Created by:
TammyKnippel
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