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The table shows the weekly profit from a small local shop.
\n{a} | \n{b} | \n{c} | \n{d} | \n{f} | \n{g} | \n
Calculate the mean
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", "licence": "Creative Commons Attribution 4.0 International"}, "statement": "Calculate the mean, the median and the mode of the data from the following frequency table below:
\nClass | \n0 | \n1 | \n2 | \n3 | \n4 | \n5 | \n
Frequency | \n{f1} | \n{f2} | \n{f3} | \n{f4} | \n{f5} | \n{f6} | \n
See \"show steps\" within this question for more help.
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", "licence": "Creative Commons Attribution 4.0 International"}, "statement": "Here are the marks for 20 students in a test
\n{data}
", "advice": "You should use the function on your calculator to find the standard deviation
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\nBiology | \nChemistry | \nPhysics | \nBiochemistry | \nMaths | \nStatistics | \n
{biol} | \n{chem} | \n{phys} | \n{biochem} | \n{maths} | \n{stats} | \n
The university wants to select a sample of {sample} students to take part in a survey.
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\nGive your answer to 1 decimal place.
\nBiology | \nChem | \nPhysics | \nBiochem | \nMaths | \nStatistics | \n
[[0]] | \n[[1]] | \n[[2]] | \n[[3]] | \n[[4]] | \n[[5]] | \n
Complete thet table to show the number of students needed for each subject in the sample. Remember to round your answers to the nearest whole number.
\nBiology | \nChem | \nPhysics | \nBiochem | \nMaths | \nStatistics | \n
[[0]] | \n[[1]] | \n[[2]] | \n[[3]] | \n[[4]] | \n[[5]] | \n
Here is some data about two variables, x and y
\nx | \n{x1} | \n{x2} | \n{x3} | \n{x4} | \n{x5} | \n{x6} | \n{x7} | \n{x8} | \n{x9} | \n
y | \n{y1} | \n{y2} | \n{y3} | \n{y4} | \n{y5} | \n{y6} | \n{y7} | \n{y8} | \n{y9} | \n
Calculate the correlation co-efficient
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", "licence": "Creative Commons Attribution 4.0 International"}, "statement": "A school compares the exam results for students in two tests. Here are the results.
\nStudent | \n$\\var{obj[0]}$ | \n$\\var{obj[1]}$ | \n$\\var{obj[2]}$ | \n$\\var{obj[3]}$ | \n$\\var{obj[4]}$ | \n$\\var{obj[5]}$ | \n$\\var{obj[6]}$ | \n$\\var{obj[7]}$ | \n$\\var{obj[8]}$ | \n$\\var{obj[9]}$ | \n
---|---|---|---|---|---|---|---|---|---|---|
First Test $(X)$ | \n$\\var{r1[0]}$ | \n$\\var{r1[1]}$ | \n$\\var{r1[2]}$ | \n$\\var{r1[3]}$ | \n$\\var{r1[4]}$ | \n$\\var{r1[5]}$ | \n$\\var{r1[6]}$ | \n$\\var{r1[7]}$ | \n$\\var{r1[8]}$ | \n$\\var{r1[9]}$ | \n
Later Score $(Y)$ | \n$\\var{r2[0]}$ | \n$\\var{r2[1]}$ | \n$\\var{r2[2]}$ | \n$\\var{r2[3]}$ | \n$\\var{r2[4]}$ | \n$\\var{r2[5]}$ | \n$\\var{r2[6]}$ | \n$\\var{r2[7]}$ | \n$\\var{r2[8]}$ | \n$\\var{r2[9]}$ | \n
Calculate the equation of the best fitting regression line:
\ny = a + bx
\nFind $a$ and $b$ and then input them below to 3 decimal places.
\n$b=\\;$[[0]], $a=\\;$[[1]] (enter both to 3 decimal places).
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