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Why are statistics always concerned with mass phenomenon and never a single observation?
Statistics deals with determination of enough data points to be able to predict future outcomes. A single observation is not enough to establish reality or predict the future outcome. If you flip a coin and it lands heads, is it enough to say that every time you flip a coin it will be heads? Of course not!
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What is always part of a data set?
An observation.An observation.An observation.An observation.
What are advantages and disadvantages of mathematical models?
Mathematical modelling can give realistic representations of a real world phenomenon using statistics and probable outcomes. One flaw is that there are many possible outcomes and the correct one is not always identifiable.
What is the definition of Standard deviation of a single measurement?
The standard deviation of a single observation is not defined. With a single observation, the mean of the observation(s) would be the same as the value of the observation itself. By definition, therefore, the deviation (difference between observation and mean) would always be zero. Rather a pointless exercise!
What is inferential statistics?
Inferential statistics, is used to make claims about the populations that give rise to the data we collect. This requires that we go beyond the data available to us. Consequently, the claims we make about populations are always subject to error; hence the term "inferential statistics" and not deductive statistics.
What is a quantitative observation of a penny?
examples: 2.5 grams,12 pillars on the back of the penny, 60 words on the penny,4 numbers on the penny. for a quantitative observation you always have to have a number in the answer:) hope this helps
