Page 127 - Data Science class 11
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Here, difference in mean was recorded, and the operation was repeated 200 times in total.
The observed difference of 6.2 mm was never exceeded in the simulation of 200 rejumbling. This gave strong proof
against the supposition that the difference between means for treatments 1 and 2 was due to chance alone. When a
similar type of procedure was followed for samples of treatment 2 and treatment 3, the observed difference of 6 mm
in the mean length was never observed.
25
Line at 6.2 mm
20
15
10
5
0
–4 –3.1 –3 –2.5 –2.1 –1.4 –0.6 0 0.9 1.3 2.6 3.1 3.8 4.6 6
Figure 2.4.5 : Difference in means of radish seedlings (Line at 6 mm)
Figure 2.4.5 shown herewith was produced when a similar procedure, as stated above, was done with
samples of treatment 2 and treatment 3.
Thus, here too, it gave a strong proof that the observed difference in mean length between treatment 2 and treatment
3 was not due to chance alone.
Recap
Facts are something that actually exist in reality and always represent truth.
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Stories are a narrative; either true or fictitious about things, ideas, beliefs, objects, products or services.
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A trial assessment is a set of steps executed to support, reject or confirm an assumption.
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Ÿ Inferential statistical analysis is the process to draw inferences or conclusions. It allows users to infer trends about a larger
population based on the samples after analysis.
Correlation is a statistical term, describing the degree to which two variables move in coordination with one-another.
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Causation is the relationship between an event or situation and a possible reason or cause.
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There is a cause for every effect, and therefore, things happen for a reason. This can be explained through cause in science.
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By investigating causation, one can come to recognize where rational progress can be made, and where opinions will likely
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remain at odds.
The perception of time assessment highlights a person's subjective experience of time duration within an ongoing event.
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This perceived duration can alter significantly between different individuals in different circumstances.
Assessing Data 125

