In the case of a research study, there are two main types of hypotheses that can be tested. The first is the null hypothesis, which assumes that there is no difference between two groups. The second is the alternative hypothesis, which assumes that there is a difference between two groups.
A normal distribution is often characterized by the bell curve, which means that most of the data points are clustered around the average value. If you are interested in finding out if your data has a normal distribution, you can use the Z-Test.
The Critical Value Method is a tool that helps content writers and marketers to decide what the optimal number of words should be for their content. It does so by calculating the average number of words per sentence in a certain piece of text, as well as how many sentences are in that text.
The two methods are used to test the null hypothesis, which is that the mean of a population is zero.
The Z-test is more accurate than the Critical Value Method, because it takes into account the standard deviation of a population.
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Akash Sambhaji
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plz provides all notes
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Jamil Akhtar
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plzz provide notes....
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Sunita Singhal
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please provide notes also in pdf
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Montu Mali
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nice ☺️👍
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Abdul Samed
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please provide course notes
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Shashi Kumar
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great resource to learn data science in hindi. but in this particular video lecture there is a mistake....actually mutually exclusive event can never be independent event.
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Nikhil Fapale
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it really amazing to study....and easily understand difficult concepts...i hope you make more video on like power bi and nueral network model....its really helpful....thank you for these
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