Yes--these two terms mean essentially the same thing. There might be variation among practicing statisticians and researchers (perhaps geographically, with those in the U.S. preferring the phrase "inferential" and those in other countries perhaps more likely to use "inductive"). The goal of inferential statistics is to make a broader statement about a large group from a small subset of that group--and the phrase "inductive reasoning" refers to making a broader generalization (that is, an inference) from a series of observations. Thus, these two phrases refer to the same thing.
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SE stands for ''standard error'' in statistics. Thanx Sylvia It is the same as the standard deviation of a sampling distribution, such as the sampling distribution of the mean.
The group of individuals used to represent a population is called the sample. It should have the same statistics as the population, though be of a smaller size.
same as grouped data i.e. (upper limit+lower limit)/2
If repeated samples are taken from a population, then they will not have the same mean each time. The mean itself will have some distribution. This will have the same mean as the population mean and the standard deviation of this statistic is the standard deviation of the mean.