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XXXXXXX #X: XXXXXXX a coin</strong> </p> <p>When XXXXXXX a coin XXXXX is no XXX XX tell if it XXXX XXXX head or tails, XXXX XXXX XX XX toss it XXXX times it XXX land all tails or all XXXXX, XXXX XXX possible results. XXX XXXX that the XXXXXXXXXXX of XXXXXXX head is 0.5 does XXX mean the XXXXXX will be two XXXXX and two XXXXX, it XXXXX that the more XXXXX you repeat XXX experiment the XXXXXX of times XX XXX XXXXX XXXXXXXX tothe XXXXXX of XXXXX XX XXX heads XXXX XXXX XX be XXX XXXX. </p> <p><strong XXXXX="redactor-inline-converted">Example #2: Companies,products XXXXXXXXXXXXX.</strong> </p> <p>Companies XXXXXX extra value in order to extend a warranty XXX XXXXX XXXXXXXX, (let’s consider a computer) How XX XXXX know how XXXX should XXXX charge? </p> <p>Suppose that the probabilities that a XXXXXXXX is returned XXX XX XXX damage or XXXXXXXXXXX is 8% or X.XX and the XXXX XX replace it XX $800. If the XXXXXXX XXXX which computer would go XXX, it XXXXX just XXXXXX $XXX for these computers XXX $X XXX XXX XXXX. XXXXXXX, the XXXXXXX can’t know XXXXX computers will XX XXXXXXXX. Because XXXXX 8 in every 100, or same XX 1 in every 25 will XX XXXXXXXX, XXXX should XXXXXX XX least 800/25 = $32 for the XXXXXXXX warranty. </p><p><XXXXXX XXXXX="redactor-inline-converted"><br></XXXXXX></p><p><XXXXXX XXXXX="redactor-XXXXXX-converted">The idea in XXX words</strong><br></p> <p>We can’t predict the short XXX XXXXXXXX of a XXXXXX XXXXXXXXXX XXX to XXX own XXXXXX XXXXXX. XXXXXXX, due XX XXX XXXXXXXXXX XX XXX XXXXXXXXXX XXXX XX knowing the XXXXXXXX XX XXXXXXXX XXXXXXXXX outcomes XX XXX XXXXX possible outcomes and XXXXXXXXX XX have idea of the XXXXXXXXXX XX a XXXXXXXXXX XXXXXXX to XXXXXX we XXX XXXXXXX XXX log run XXXXXXX XXXXXXXXXXXXX, XXX XXXX XXXXXX will XXXX XX XXXX XXXXXXXXXXXXXX in a XXXX XXXXXX XX repetitions. </p>">
