David Weber, Talei Kunkel, Alexander Martinez and, Rebecca Shultis Solutions for Chapter: Univariate Data Accessing Equal Opportunities, Exercise 20: Practice 4
David Weber Mathematics Solutions for Exercise - David Weber, Talei Kunkel, Alexander Martinez and, Rebecca Shultis Solutions for Chapter: Univariate Data Accessing Equal Opportunities, Exercise 20: Practice 4
Attempt the practice questions on Chapter 7: Univariate Data Accessing Equal Opportunities, Exercise 20: Practice 4 with hints and solutions to strengthen your understanding. MYP Mathematics A concept-based approach 2 solutions are prepared by Experienced Embibe Experts.
Questions from David Weber, Talei Kunkel, Alexander Martinez and, Rebecca Shultis Solutions for Chapter: Univariate Data Accessing Equal Opportunities, Exercise 20: Practice 4 with Hints & Solutions
Arable land is land that is used for growing crops. The amount of arable land can indicate how able a country is to produce food to support its citizens countries with the highest percentage of arable land (as a percentage of total land area) are listed in the table below.
Higher-income countries | Lower-income countries | ||
Denmark | 58% | Bangladesh | 59% |
Hungary | 49% | Ukraine | 56% |
Czech Republic | 41% | Moldova | 55% |
Isle of Man | 39% | India | 53% |
Lithuania | 38% | Togo | 49% |
Poland | 36% | Burundi | 47% |
Germany | 34% | Rwanda | 47% |
France | 34% | The Gambia | 44% |
Is knowing the percentage of land that is arable sufficient information to determine a country's ability to grow its own crops? Explain.If not, what other factors would be important to research?

The number of people per public wi-fi hotspot, in those countries where hotspots are available, is summarised below.These represent the highest values among high-income countries.
Country | Number of people per public wi-fi hotspot |
Canada | 14 |
Singapore | 320 |
Italy | 979 |
Spain | 13 |
Norway | 12 |
Germany | 10 |
Australia | 11 |
United Arab Emirates | 40 |
Poland | 11 |
Japan | 10 |
United Kingdom | 6 |
Sweden | 9 |
Find the range, quartiles and interquartile range of this data set. Round to the nearest tenth where necessary.

The number of people per public wi-fi hotspot, in those countries where hotspots are available, is summarised below.These represent the highest values among high-income countries.
Country | Number of people per public wi-fi hotspot |
Canada | 14 |
Singapore | 320 |
Italy | 979 |
Spain | 13 |
Norway | 12 |
Germany | 10 |
Australia | 11 |
United Arab Emirates | 40 |
Poland | 11 |
Japan | 10 |
United Kingdom | 6 |
Sweden | 9 |
Are there any outliers in this data set? Explain.

The number of people per public wi-fi hotspot, in those countries where hotspots are available, is summarised below.These represent the highest values among high-income countries.
Country | Number of people per public wi-fi hotspot |
Canada | 14 |
Singapore | 320 |
Italy | 979 |
Spain | 13 |
Norway | 12 |
Germany | 10 |
Australia | 11 |
United Arab Emirates | 40 |
Poland | 11 |
Japan | 10 |
United Kingdom | 6 |
Sweden | 9 |
Find the range, quartiles and interquartile range of the data set with any outliers removed.

The number of people per public wi-fi hotspot, in those countries where hotspots are available, is summarised below.These represent the highest values among high-income countries.
Country | Number of people per public wi-fi hotspot |
Canada | 14 |
Singapore | 320 |
Italy | 979 |
Spain | 13 |
Norway | 12 |
Germany | 10 |
Australia | 11 |
United Arab Emirates | 40 |
Poland | 11 |
Japan | 10 |
United Kingdom | 6 |
Sweden | 9 |
Which is most affected by the presence of outliers, the range or the interquartile range?Explain.

Create a set of data with an odd number of values(at least seven) where the three quartiles are all whole numbers.

Create a set of data with an even number of values(at least eight) where is not a value in the data set, but and are.

Create a set of data with at least six values where is greater than the range.
