Statistics · Guided Practice

Descriptive Statistics

8 questions with answers and video solutions. Try each one before revealing the answer.

1
84\displaystyle 84 out of 350\displaystyle 350 teenagers chose horror as their favourite film type.
Calculate the proportion, as a decimal.
Video solution coming soon
2
84\displaystyle 84 out of 350\displaystyle 350 teenagers and 96\displaystyle 96 out of 480\displaystyle 480 adults chose horror as their favourite film type.
By calculating both proportions, compare the preference of the two groups.
Video solution coming soon
3
Explain why comparing the number of people who chose an option is not valid when the two samples are different sizes.
Video solution coming soon
4
Two drivers are compared on delivery time.
David has a mean of 42\displaystyle 42 minutes and a standard deviation of 8.5\displaystyle 8.5 minutes.
Sarah has a mean of 38\displaystyle 38 minutes and a standard deviation of 11.2\displaystyle 11.2 minutes.
Compare their performance.
Video solution coming soon
5
A dataset produces a symmetrical histogram.
State the most appropriate measure of location and measure of spread.
Video solution coming soon
6
A company has 10\displaystyle 10 employees. Nine earn £25000\displaystyle \pounds 25000 a year and the owner earns £400000\displaystyle \pounds 400000.
(a) Calculate the mean salary.
(b) State the median salary.
(c) Explain which is the better description of a typical salary.
Video solution coming soon
7
A sample has a mean of 50\displaystyle 50 and a standard deviation of 0\displaystyle 0.
State what this tells you about the data.
Video solution coming soon
8
2024 Q6
(2, 2, 1, 1, 2, 2)10 Marks

You must refer to the spreadsheet file 'Q6 golf.csv' for the data, and the word processing file 'Q6 Golf Answers.docx' when answering this question.

You must complete parts (a) (i) and (c) (ii) using appropriate statistical software. You must include all output from statistical software, and your answers in the word processing file 'Q6 Golf Answers.docx'.

A golf ball manufacturing company has designed a new golf ball which is more hard-wearing. The company wants to determine whether there is a difference in the distances travelled by the current and new golf balls.

To measure the distances travelled by the current and new golf balls, a random sample of 40 of the current golf balls and a random sample of 40 of the new golf balls were subjected to distance tests using a mechanical hitting machine. Data was collected for the distances travelled (in metres) of both the current and new golf balls.

The data was found to be approximately normally distributed.

(a) (i) Generate and state appropriate measures of location and spread for the current and new golf balls.
(ii) Make two valid comparisons about the driving distances of both the current and new golf balls.

(b) State appropriate null and alternative hypotheses to determine if there is a statistically significant difference between the distances travelled by the current and new golf balls.

(c) (i) State which type of hypothesis test is appropriate to determine if there is a statistically significant difference between the distances travelled by the current and new golf balls.
(ii) Perform the hypothesis test and state the p-value.
(iii) Hence interpret the p-value, and the result of the hypothesis test, in context.