Page 159 - Data Science class 10
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9. How can discrete uniform distribution be advantageous for organisations?
Ans. Discrete uniform distribution can be advantageous for organisations in a number of ways. For instance, it may come up
when analysing the frequency of inventory sales in inventory management.
10. Differentiate discrete and continuous probability distributions.
Ans. A continuous probability distribution is composed of continuous variables, as opposed to a discrete probability
distribution, which is composed of discrete variables.
B. Long answer type questions:
1. Differentiate discrete and continuous data with example.
Ans. • Discrete Data: It refers to the data that accepts only particular values. For example, if you take a test, you can pass
or fail in it. Since there are only two possible outcomes, the data in this case is discrete.
• Continuous Data: It refers to the data that can accept any value within a range. This range of values will have a lower
bound and an upper bound, which we call the minimum and the maximum possible values. For example, the width
of a road, the weight of a person, or the depth of an ocean.
2. Explain the four criteria of binomial distribution.
Ans. There are four different criteria of binomial distributions described below which the binomial distributions need to fulfil.
These are as follows:
a. The number of the trials or the experiments must be fixed. As you can only figure out the probable chance of
occurrence of success in a trial you should have a finite number of trials.
b. Every trial is independent. None of your trials should affect the possibility of the next trial.
c. The probability always stays the same and equal. The probability of success may be equal for more than one trial.
d. There are only two mutually exclusive outcomes, i.e., success or failure.
3. What is the goal of statistical problem-solving process? Write the names of its 4 components.
Ans. To gather and analyse data in order to respond to statistical inquiry questions is the goal of the statistical problem
solving process. The four components of this investigative method are:
a. Planning the problem (Ask a Question)
b. Collect Data
c. Analyse Data
d. Interpret Results
4. What do you mean by the term “Interpret the Results”?
Ans. After you analyse your data, you must interpret it in order to provide an answer — or answers — to the original question.
This step is also known as looking beyond the data and allowing for variability. Variability is present and must be taken
into account when making statistical judgements. When interpreting the results of a randomized comparative medical
experiment, we must remember there are two important sources of variability: randomization to treatment group, and
variability from individual to individual. When we generalise the results and look beyond the study data collected, we
must consider these sources of variability.
Unsolved Exercise
Objective Type Questions (Section A)
A. Tick ( ) the correct option.
1. A ____________________ is a simple way to visualise a set of data.
a. Distribution b. Probability
c. Mean d. Median
Distributions in Data Science 157

