Ontario · Grade 9 (MTH1W, de-streamed)
MTH1W.D1
Grade 9 de-streamed — Describe the collection and use of data, and represent and analyse data involving one and two variables.
A note on this mapping: Ontario numbers its Data expectations per grade document and the specific numbering could not be verified line by line here, so this tag names the strand's OVERALL expectation rather than guessing at a specific one.
The 4 skills that cover it
- Scatter Plots & TrendsPlot two measurements against each other, describe the association you see, and fit a straight line you can predict from.Read the lesson →
- Samples & InferenceUse a sample to say something about a population you cannot count, and be honest about how much the answer could be out by.Read the lesson →
- Histograms, Box Plots & ShapeRead a dot plot, a histogram and a box plot, build the five-number summary a box plot is drawn from, describe the shape of a distribution as symmetric or skewed, and compare two distributions by centre and spread.Read the lesson →
- Correlation & RegressionUse a fitted line to predict and to measure how far each point misses it, read the strength and direction of a relationship from the correlation coefficient r, and keep correlation apart from causation.Read the lesson →
What a student should be able to do
- Describe an association as positive, negative or absent from a scatter plot.
- Find the slope of a line of best fit through two points on it.
- Use a trend line to predict a value, and say when the prediction is trustworthy.
- Interpret the slope and the intercept of a trend line in context.
- Estimate a population total from the proportion found in a random sample.
- Judge whether a sampling method is likely to be representative.
- Estimate a population size with the capture-recapture method.
- State a margin of error and the interval of plausible values around an estimate.
- Read counts and totals from a dot plot or a histogram.
- Find the five-number summary of a data set and read a box plot back into it.
- Describe the shape of a distribution and say which summary of centre suits it.
- Compare two distributions by their centres and their spreads.
- Use a given regression equation to predict a value and interpret its slope and intercept in context.
- Compute a residual as actual minus predicted, and say what its sign means.
- Interpret a correlation coefficient r for strength and direction, and match r to a scatter plot.
- Explain why a strong correlation does not by itself show that one variable causes the other.