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Bonus message

  • Which of the following is true of the standard deviation in a normal distribution?

  • The first step in calculating a standard deviation is calculating the variance of all the scores.

  • Standard deviations are primarily used when working with skewed distributions.

  • You should never use a computer to calculate a standard deviation

  • The standard score or z-score is the variation from the mean of a distribution in terms of:

  • When you control one variable for another variable or factor, you are standardising the original variable.

  • In a box-and whisker plot such as this, the centre line in the box marks the the X of the distribution mean.

  • In a box-and-whisker plot such as this, the outer edges of the box are the X of the distribution.

  • the data marked with the red line shows consistent and periodic fluctuation. This is called what?

  • In the same data, an upward line is shown in black. This represents the [blank]:

  • Noise is the inherent randomness of data.

  • A moving average relies on calculating the rate of change using the smallest possible increments of time.

  • To create an index, you select a particular value to be zero then calculate all other values in terms of their percentag

  • An index does not show standardised values.

  • Logarithmic scales are exponential.

  • One of the following is NOT a common error for time-series charts:

  • Emissions are going down for every class of transport, but the overall transport emissions increases.We call this:

  • Horizon charts, heat maps, and small multiples charts can all be used for communicating time series.

  • A linear relationship between two quantitative variables is a correlation.

  • The correlation coefficient is called r. It measures the [ Välj ] of a correlation

  • In a negative correlation, as the value of one variable increases, the value of the other variable also increases.

  • Consider the following scatterplot. Is r an appropriate statistic to calculate?

  • Locally weighted scatterplot smoothing (LOWESS) can be used when your scatterplot divides into different clusters.