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no edit summary
additional information and resources.
additional information and resources.
== Textbook ==
Please click here for Karnataka and other text books.
# Karnataka text book for Class 10, Chapter 06 - Statistics
# NCERT text book for class 10, Chapter 14 - Statistics
# Page No 279-298 of Temilnadu text book for class 10 - Statistics
== Additional Information ==
=== Useful websites ===
STATISTICS IS FUN.
# This website has many powerful videos based on statistical inferences on important social issues [http://gapminder.org/videos/the-joy-of-stats/#.U8JbOzf_QjA click here]
# For wikipedia link [https://en.wikipedia.org/wiki/Wikipedia:Statistics click here]
# For video lessons on Statistics [http://www.neok12.com/Statistics.htm click here]
# youtube videos on statistics
== Statistics ==
== Statistics ==
The curricular objectives for school level
The curricular objectives for school level
statistical work can be described as follows:
statistical work can be described as follows:
* To understand the meaning of data. The need for statistics and how to collect, organise and represent data in different ways.
* To understand the meaning of data. The need for statistics and how to collect, organise and represent data in different ways.
* Skills to represent and analyse data in tabular and graphical forms.
* Skills to represent and analyse data in tabular and graphical forms.
analyse your results and draw conclusions. So what are descriptive
analyse your results and draw conclusions. So what are descriptive
and inferential statistics? And what are their differences?
and inferential statistics? And what are their differences?
==== Descriptive Statistics ====
==== Descriptive Statistics ====
charts) and statistical commentary (i.e. a discussion of the
charts) and statistical commentary (i.e. a discussion of the
results).
results).
==== Inferential Statistics ====
==== Inferential Statistics ====
hypotheses.
hypotheses.
== Textbook ==
== Concept #Introduction to statistics ==
# Karnataka text book for Class 10, Chapter 06 - Statistics
=== Learning objectives ===
# NCERT text book for class 10, Chapter 14 - Statistics
# To understand the meaning of data. The need for statistics and how to collect, organise and represent data in different ways.
# Page No 279-298 of Temilnadu text book for class 10 - Statistics
# Skills to represent and analyse data in tabular and graphical forms.
# Understanding central tendency and computation of the measure of central tendency namely arithmetic mean, median and mode for both grouped and non-grouped data. Have the ability to use the appropriate central tendency to represent the data appropriately.
# Understanding dispersion determine the measures of dispersion such as range quartile deviation, mean deviation and standard deviation.
# Understand the limitations and drawbacks of statistics
== Additional Information ==
=== Notes for teachers ===
''These are short notes that the teacher wants to share about the concept, any locally relevant information, specific instructions on what kind of methodology used and common misconceptions/mistakes.''
=== Useful websites ===
=== Activities ===
# Activity No #1 '''Concept Name - Activity No.'''
# This website has many powerful videos based on statistical inferences on important social issues [http://gapminder.org/videos/the-joy-of-stats/#.U8JbOzf_QjA click here]
# Activity No #2 '''Concept Name - Activity No.'''
# For wikipedia link [https://en.wikipedia.org/wiki/Wikipedia:Statistics click here]
# For video lessons on Statistics [http://www.neok12.com/Statistics.htm click here]
= Mind Map =
= Mind Map =
* To understand the sources of data : Primary and Secondary
* To understand the sources of data : Primary and Secondary
* To learn how to collect, classify and display data; data is information that is used in any process connected with statistics.
* To learn how to collect, classify and display data; data is information that is used in any process connected with statistics.
<br>
== Concept #2 Data and types of data ==
=== Learning objectives ===
# Understand primary and secondary data
# Understand quantitative and qualitative data
=== Notes for teachers ===
The term data refers to qualitative or quantitative attributes of a variable or set of variables.Data refers to the pieces of information that have been observed and recorded, from an experiment or a survey. There are two types of data: primary and secondary. The word ”data” is the plural of the word ”datum”, and therefore one should say, ”the data are” and not ”the data is”. Data can be classified as primary or secondary, and primary or secondary data can be classified as qualitative or quantitative.
Primary data describes the original data that have been collected. This type of data is also known as raw data. Often the primary data set is very large and is therefore summarised or processed to extract meaningful information. Qualitative data is information that cannot be written as numbers, for example, if you were collecting data from people on how they feel or what their favourite colour is.Quantitative data is information that can be written as numbers, for example, if you were collecting data from people on their height or weight. Secondary data is primary data that has been summarised or processed, for example, the set of colours that people gave as favourite colours would be secondary data because it is a summary of responses. Data already collected prior our use is secondary data. Primary data is what we collect as a part of our study. All processed data therefore is also secondary.
Transforming primary data into secondary data through analysis, grouping or organisation into secondary data is the process of generating information.
=== Activities ===
# Activity No #1 '''Concept Name - Activity No.'''
# Activity No #2 '''Concept Name - Activity No.'''<br>
== Data ==
== Data ==
Here are examples to illustrate some real world data collections
Here are examples to illustrate some real world data collections
scenarios in the categories of qualitative and quantitative data.
scenarios in the categories of qualitative and quantitative data.
=== Qualitative Data ===
=== Qualitative Data ===
* A motor car company might want to improve their customer service, and might ask their customers: “How can we improve our customer service?”
* A motor car company might want to improve their customer service, and might ask their customers: “How can we improve our customer service?”
* A teacher may ask “How many hours of TV by students on TV' to get an idea of what children are learning from TV at home and how it supplements (or affects) the learning in the school
* A teacher may ask “How many hours of TV by students on TV' to get an idea of what children are learning from TV at home and how it supplements (or affects) the learning in the school
=== Quantitative Data ===
=== Quantitative Data ===
entertainment value, , then this could give the wrong impression that
entertainment value, , then this could give the wrong impression that
TV was being used as an educational tool in your home .
TV was being used as an educational tool in your home .
== Data Collection ==
== Data Collection ==
You must have observed
You must have observed
NatWest One Day
NatWest One Day
Examples - political
Examples - political
different types of pictorial representations that can be used to
different types of pictorial representations that can be used to
represent different type of data.
represent different type of data.
== Objectives ==
== Objectives ==
== Histogram & Bar Chart ==
== Histogram & Bar Chart ==
=== What is a histogram? ===
=== What is a histogram? ===
A histogram is a plot
A histogram is a plot
=== How do you construct a histogram from a continuous variable? ===
=== How do you construct a histogram from a continuous variable? ===
Bin Frequency Scores
Bin Frequency Scores
Notice that, unlike a
Notice that, unlike a
=== Choosing the correct bin width ===
=== Choosing the correct bin width ===
In a histogram, it is
In a histogram, it is
=== What is the difference between a bar chart and a histogram? ===
=== What is the difference between a bar chart and a histogram? ===
A variety of graphical
A variety of graphical
=== Dependent and Independent Variables ===
=== Dependent and Independent Variables ===
=== Experimental and Non-Experimental Research ===
=== Experimental and Non-Experimental Research ===
=== Categorical and Continuous Variables ===
=== Categorical and Continuous Variables ===
that "They are OK" is twice as positive as "Not very
that "They are OK" is twice as positive as "Not very
much" for example.
much" for example.
quantitative variables. Continuous variables can be further
quantitative variables. Continuous variables can be further
categorized as either interval or ratio variables.
categorized as either interval or ratio variables.
of measurements. So, for example, a distance of ten metres is twice
of measurements. So, for example, a distance of ten metres is twice
the distance of 5 metres.
the distance of 5 metres.
=== Ambiguities in classifying a type of variable ===
=== Ambiguities in classifying a type of variable ===
In some cases, the measurement scale for data is
In some cases, the measurement scale for data is
ordinal but the variable is treated as continuous. For example, a
ordinal but the variable is treated as continuous. For example, a
scale is sometimes treated as continuous although where you should do
scale is sometimes treated as continuous although where you should do
this is a cause of great dispute.
this is a cause of great dispute.
== Enrichment Activities ==
== Enrichment Activities ==
This means that each of
This means that each of
== Activities ==
== Activities ==
==== Pre-requisites/ Instructions ====
==== Pre-requisites/ Instructions ====
|}
|}
# Which of the three measures do you think is most representative of the average time? In this case it is probably the mean, but this will not always be so.
# Which of the three measures do you think is most representative of the average time? In this case it is probably the mean, but this will not always be so.
# Which of these measures is of most use?
# Which of these measures is of most use?
=== Quartiles and Interquartile Range ===
=== Quartiles and Interquartile Range ===
=== Absolute Deviation and Mean Absolute Deviation ===
=== Absolute Deviation and Mean Absolute Deviation ===
=== Variance ===
=== Variance ===
=== Coefficient of variation ===
=== Coefficient of variation ===
* When the coefficient of variation is less, the given data is more consistent.
* When the coefficient of variation is less, the given data is more consistent.