STP Mathematics 2A is a textbook for students who are studying mathematics at Level 5 of the National Curriculum in the UK. It covers topics such as fractions, decimals, percentages, ratio, proportion, algebra, geometry, statistics, and probability. The book contains exercises and investigations for students to practice and apply their skills, as well as revision tests and summary questions at the end of each chapter.
The book also provides answers to some of the exercises and investigations in the back of the book. However, not all of the answers are given, and some of the answers may be incomplete or incorrect. Therefore, students may need to check their work with other sources or consult their teachers for guidance.
In this article, we will provide some of the answers to the exercises and investigations in Chapter 12 of STP Mathematics 2A. Chapter 12 is about statistics and probability, and it covers topics such as collecting and displaying data, finding averages and ranges, calculating probabilities, and using tree diagrams. The answers we provide are based on the second edition of the book, which was published in 2014 by Oxford University Press. We will also explain how we obtained the answers and provide some tips and tricks for solving similar problems.
This exercise is about collecting data from surveys or experiments and displaying them in tables, charts, or graphs. The exercise has four parts: A1 to A4.
This part is about making frequency tables from raw data. A frequency table shows how often each value or category occurs in a data set. To make a frequency table, we need to:
For example, here is a frequency table for the number of pets owned by 20 students:
The first column shows the possible values for the number of pets, and the second column shows how many students have that number of pets. The labels indicate what the columns represent.
Here are some of the answers to A1:
This part is about drawing bar charts from frequency tables. A bar chart is a type of graph that uses rectangular bars to show the frequencies of different values or categories in a data set. To draw a bar chart, we need to:
For example, here is a bar chart for the number of pets owned by 20 students:
The x-axis shows the number of pets, and the y-axis shows the frequency. The bars have heights of 4, 7, 5, 3, and 1, corresponding to the frequencies in the table. The bars are separated by gaps to show that the number of pets is a discrete variable.
Here are some of the answers to A2:
This part is about drawing pie charts from frequency tables. A pie chart is a type of graph that uses sectors of a circle to show the relative frequencies of different values or categories in a data set. To draw a pie chart, we need to:
For example, here is a pie chart for the number of pets owned by 20 students:
The angle of each sector is calculated by multiplying the frequency by 360 and dividing by 20. For example, the angle for 0 pets is (4/20) x 360 = 72 degrees. The sectors are shaded with different colours and labelled with the number of pets and the percentage. The percentages are calculated by dividing the frequency by 20 and multiplying by 100. For example, the percentage for 0 pets is (4/20) x 100 = 20%.
Here are some of the answers to A3:
This part is about drawing line graphs from tables of data. A line graph is a type of graph that uses points and lines to show how a variable changes over time or in relation to another variable. To draw a line graph, we need to:
For example, here is a line graph for the temperature changes in London over 24 hours:
The x-axis shows the time in hours, and the y-axis shows the temperature in degrees Celsius. The points are plotted using the data from the table, and the lines are drawn using a ruler. The title indicates what the graph shows.
Here are some of the answers to A4:
This exercise is about finding the mean, median, mode, and range of a data set. These are measures of central tendency and dispersion that describe the characteristics of a data set. To find these measures, we need to:
For example, here are the measures of central tendency and dispersion for the number of pets owned by 20 students:
The mean is calculated by adding up all the numbers of pets and dividing by 20: (0 + 0 + 0 + 0 + 1 + ... + 4) / 20 = 1.6. The median is found by arranging the numbers in order and locating the middle value: 0, 0, 0, 0, 1, 1, 1, ..., 4. Since there are an even number of values, the median is the average of the middle two values: (1 + 1) / 2 = 1.5. The mode is the most frequent value in the data set: 1. The range is found by subtracting the smallest value from the largest value: 4 - 0 = 4.
Here are some of the answers to B1:
This exercise is about finding the probability of an event occurring in a random experiment. Probability is a measure of how likely an event is to happen, and it can be expressed as a fraction, a decimal, or a percentage. To find the probability of an event, we need to:
For example, here is the probability of getting a head when tossing a fair coin:
The possible outcomes of tossing a coin are head or tail, and only one of them is favourable to getting a head. The probability is calculated by dividing 1 by 2: 1/2. This fraction can be converted to a decimal by dividing the numerator by the denominator: 0.5. It can also be converted to a percentage by multiplying the decimal by 100: 50%.
Here are some of the answers to C1: