David Weber, Talei Kunkel, Alexander Martinez and, Rebecca Shultis Solutions for Chapter: Univariate Data Accessing Equal Opportunities, Exercise 20: Practice 4

Author:David Weber, Talei Kunkel, Alexander Martinez & Rebecca Shultis

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

EASY
MYP:2
IMPORTANT

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?

EASY
MYP:2
IMPORTANT

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.

EASY
MYP:2
IMPORTANT

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.

EASY
MYP:2
IMPORTANT

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.

EASY
MYP:2
IMPORTANT

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.

EASY
MYP:2
IMPORTANT

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

EASY
MYP:2
IMPORTANT

Create a set of data with an even number of values(at least eight) where Q2 is not a value in the data set, but Q1 and Q3 are.

EASY
MYP:2
IMPORTANT

Create a set of data with at least six values where Q1 is greater than the range.