Application of the binomial distribution given probabilities of success of an event.

Finding probabilities using the binomial distribution.

Given random set of data (between 13 and 23 numbers all less than 100), find their stem-and-leaf plot.

Choosing whether given random variables are qualitiative or quantitative.

Given random set of data (between 13 and 23 numbers all less than 100), find their stem-and-leaf plot.

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Find a regression equation.

Now includes a graph of the regression line and another interactive graph gives users the opportunity to move the regression line around. Could be used for allowing users to experiment with what they think the line should be and see how this compares with the calculated line.

Basic data structures and maths/stats functionality given.

You can configure the rest.

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Given random set of data (between 13 and 23 numbers all less than 100), find their stem-and-leaf plot.

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Given a table of the number of days in which sales were between £x1000 and £(x+1)1000 find the relative percentage frequencies of these volume of sales.

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Find the mean, median and mode of a list of 10 test scores.

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r digits are picked at random (with replacement) from the set $\{0,\;1,\;2,\ldots,\;n\}$. Probabilities that 1) all $\lt k$, 2) largest is $k$?

Find the mean, median and mode of a list of 10 test scores.

Template question. The student is asked to perform a two factor ANOVA to test the null hypotheses that the measurement does not depend on each of the factors, and that there is no interaction between the factors.

Template question. The student is asked to perform a two factor ANOVA to test the null hypotheses that the measurement does not depend on each of the factors, and that there is no interaction between the factors.

Paired t-test to see if there is a difference between responses after treatment.

Template question. The student is asked to perform a two factor ANOVA to test the null hypotheses that the measurement does not depend on each of the factors, and that there is no interaction between the factors.

Testing an hypothesis about the mean of one group.

Testing an hypothesis about the mean of one group.

Calculating summary statistics.

Template question. The student is asked to perform a two factor ANOVA to test the null hypotheses that the measurement does not depend on each of the factors, and that there is no interaction between the factors.

The random variable $X$ has a PDF which involves a parameter $c$. Find the value of $c$. Find the distribution function $F_X(x)$ and $P(a \lt X \lt b)$.

Paired t-test to see if there is a difference between responses after treatment.

Given the pdf  $f(x)=\frac{a-bx}{c},\;r \leq x \leq s,\;f(x)=0$ else, find $P(X \gt p)$, $P(X \gt q | X \gt t)$.

Template question. The student is asked to perform a two factor ANOVA to test the null hypotheses that the measurement does not depend on each of the factors, and that there is no interaction between the factors.

The random variable $X$ has a PDF which involves a parameter $k$. Find the value of $k$. Find the distribution function $F_X(x)$ and $P(X \lt a)$.