Page 156 - Data Science class 10
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2.4.3 Interpret Results
The analysis shows that Bollywood, Pop and Rock are very similar in terms of the number of students who choose
them as their favourite type of music. Most of the students picked up Bollywood, Pop, and Rock as their favourite
and/or second favourite type of music. In addition, students might note that a live band and a DJ are equally
chosen among class members.
Recap
• A distribution is a simple way to visualise a set of data.
• Probability refers to the possibility of something happening. It is a mathematical concept that predicts how likely events
are to occur.
• When the sum of probabilities equals 1% to 100%, you can be certain that you have used all possible values, it is called
uniform distribution.
• Discrete data refers to the data that accepts only particular values.
• Continuous data refers to the data that can accept any value within a range.
• The density functions are mathematical functions that describe the probability distribution of a random variable X.
• Probability Mass Functions (PMF) describe the probability of a random variable X taking on a particular value x, and it is
only applicable for discrete distributions.
• Bernoulli distribution is one of the simplest discrete probability distributions. It describes events that have exactly two
outcomes.
• A Binomial distribution is a common probability distribution that models the probability of obtaining one of two outcomes
under a given number of parameters.
• Poisson distribution is a probability distribution that is used to display the frequency of an event over a given period.
• Cumulative Distribution Function (CDF) refers to a probability distribution that deals with both continuous and discrete data.
• An infinite number of equally likely measurable values make up a continuous uniform distribution, often known as a
rectangle distribution.
• A normal distribution is most common distribution function for independent, randomly generated variables. It is sometimes
called the bell curve or Gaussian distribution.
• The term "variability" describes how dispersed a set of data is. In statistics, "variability" refers to the variation that data
points within a data collection exhibit when compared to one another or the mean.
Solved Exercise
Objective Type Questions (Section A)
A. Tick ( ) the correct option.
1. If a card is chosen from a standard deck of cards, what is the probability of getting a five or a seven? [CBSE Handbook]
4 1
a. 52 b. 26
8 1
c. 52 d. 169
2. Which of the following is not an example of a discrete probability distribution? [CBSE Handbook]
a. The sale or purchase price of a house b. The number of bedrooms in a house
c. The number of bathrooms in a house d. Whether or not a home has a swimming pool in it
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