




The law of large numbers is a law of probability theory. The mathematical definition of the law of large numbers is that a random sample approaches the expected value of the population as the sample grows. For example, flip a coin ten times and it might come up heads every time. The law of large numbers dictates that if the coin is flipped a million times, the results should be 50/50 heads versus tails. Assuming that investors earn about 7% annually, the law of large numbers suggests that an individual investor will earn that same 7% over time. The law of large numbers can also be applied to earnings growth. It is easier for a company's sales to grow at twenty percent if sales are one million dollars. The law of large numbers states that it is harder to achieve that growth rate if sales are ten billion dollars. The law of large numbers also implies that the probability of a rare event occurring (e.g. winning the lottery) decreases as the number of participants increases.
Rate this law of large numbers definition...




Where is the market headed? The answer may surprise you. Find out with the exclusive & Barron's recommended charts of Chart of the Day. 

Popular Terms: 1031 exchange, 1035 exchange, EBITDA, retained earnings, covered put, option premium, limit order, margin rate, phantom income, deferred tax, APR, labor relations, current ratio, LIBOR, FTSE, command economy, stock split, 144a, exdividend, in escrow, reverse mortgage, quality assurance, Key Rate Duration, implied volatility, per diem, risk management, inflation, dividends payable, stock market close, minority interest, diluted share, annual return, exdividend date, VIX, average price per share, open position, 401a, whollyowned subsidiary, balance sheet, deferred revenue, irrevocable trust, FICO score, cancelled check, class C shares, Zero Cost Collar, real GDP, required rate of return, liquidity ratio, debt service coverage


 