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Statistical Inference Was a Concept That Was Not Too Difficult

question 38

Essay

Statistical inference was a concept that was not too difficult to understand when using cross-sectional data. For example, it is obvious that a population mean is not the same as a sample mean (take weight of students at your college/university as an example). With a bit of thought, it also became clear that the sample mean had a distribution. This meant that there was uncertainty regarding the population mean given the sample information, and that you had to consider confidence intervals when making statements about the population mean. The same concept carried over into the two-dimensional analysis of a simple regression: knowing the height-weight relationship for a sample of students, for example, allowed you to make statements about the population height-weight relationship. In other words, it was easy to understand the relationship between a sample and a population in cross-sections. But what about time-series? Why should you be allowed to make statistical inference about some population, given a sample at hand (using quarterly data from 1962-2010, for example)? Write an essay explaining the relationship between a sample and a population when using time series.


Definitions:

Financial Statement

Documents that provide an overview of a company's financial condition in both short and long term, including balance sheets, income statements, and statements of cash flows.

Permanent/Temporary

In accounting, refers to the classification of accounts based on their longevity; permanent accounts are cumulative over time (e.g., assets, liabilities, equity), while temporary accounts are closed at the end of each accounting period (e.g., revenues, expenses).

Normal Balance

The side (debit or credit) on which increases to the account are recorded, based on the type of account (asset, liability, equity, revenue, expense).

Financial Statement

A written report that quantitatively describes the financial health of a company, including balance sheets, income statements, and cash flow statements.

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