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Engraved Leather Flask, Groomsmen Gifts shop by : FAVOR IDEAS | PERSONALIZED | SHOWER FAVORS | WEDDING DECORATIONS | PACKAGING | SILVER | PLACECARD HOLDERS | CANDLES home > theme wedding favors > groomsmen gifts > engraved leather flask click image to enlarge engraved leather flask Enjoy the finer things in life! We all know him, the guy who orders from the top shelf when all his buddies are drinking beer
Why not salute his taste for the good life and give him this handsome 8oz. leather flask. Made of stainless steel with attached lid and wrapped in attractive black leather. Engrave up to three initials to make this gift truly one of a kind. This is a classy groomsmen gift that will be put to good use! Measures 5 1/2" x 3 3/4". Usually ships from our warehouse in 5-7 business days. $34 each party planner program | press center | contact info | security & privacy | wedding supplies | site map wedding supplies and favors | wedding decorations , personalized wedding favors , asian weddings , wine parties , holiday decorations , glass & crystal favors , golf wedding favors , corporate gifts , bridesmaid's gifts , groomsmen gifts , cookies party favors , silver wedding supplies , place card holders , candles , sachets , wedding supplies , wedding favor ideas wedding themes and ideas : wedding ideas , what type of bride are you? , why wedding favors? , personalized wedding favor ideas , fall wedding favor ideas , favor presentation ideas , wedding themes , bridal shower themes contact Beaucoup Wedding Favors at 1-877-988-BEAU (2328) or info@beau-coup.com
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Birthday Present
Math Forum: Ask Dr. Math FAQ: The Birthday Problem -- Ask Dr. Math: FAQ The Birthday Problem Dr. Math FAQ || Classic Problems || Formulas || Search Dr. Math || Dr. Math Home Suppose you flip a coin and bet that it will come up tails. Since you are equally likely to get heads or tails, the probability of tails is 50%. This means that if you try this bet often, you should win about half the time. What if somebody offered to bet that at least two people in your math class had the same birthday? Would you take the bet? This question is more complicated than flipping a coin, because the chance of finding two people with the same birthday depends on the number of people you ask. If there were only one other person in your math class, you might be surprised to find out that she had the same birthday as you. If there were a pair of people with the same birthday in a class of 366 people, would you still be surprised? How large must a class be to make the probability of finding two people with the same birthday at least 50%? Let's forget about leap year when we solve this problem (no February 29 birthdays!) This way, we can assume that a year is always 365 days long. We'll start by figuring out the probability that two people have the same birthday. The first person can have any birthday. That gives him 365 possible birthdays out of 365 days, so the probability of the first person having the "right" birthday is 365/365, or 100%. The chance that the second person has the same birthday is 1/365. To find the probability that both people have this birthday, we have to multiply their separate probabilities. (365/365) * (1/365) = 1/365, or about 0.27%. Now, what about three people ? The chance of the first and second person sharing a birthday is still 1/365. The first and third person might share a birthday instead. The probability of that is 1/365 as well. But what if the second and third person shared a birthday? And what if all three of them had the same birthday? Things are getting complicated fast. Four or five people would be even messier. Is there a simpler way? To solve the birthday problem, we need to use one of the basic rules of probability: the sum of the probability that an event will happen and the probability that the event won't happen is always 1. (In other words, the chance that anything might or might nothappen is always 100%.) If we can work out the probability that no two people will have the same birthday, we can use this rule to find the probability that two people will share a birthday: P(event happens) + P(event doesn't happen) = 1 P(two people share birthday) + P(no two people share birthday) = 1 P(two people share birthday) = 1 - P(no two people share birthday). So, what is the probability that no two people will share a birthday? Again, the first person can have any birthday. The second person's birthday has to be different. There are 364 different days to choose from, so the chance that two people have different birthdays is 364/365. That leaves 363 birthdays out of 365 open for the third person. To find the probability that both the second person and the third person will have different birthdays, we have to multiply: (365/365) * (364/365) * (363/365) = 132 132/133 225, which is about 99.18%. If we want to know the probability that four people will all have different birthdays, we multiply again: (364/365) * (363/365) * (362/365) = 47 831 784/ 48 627 125, or about 98.36%. We can keep on going the same way as long as we want. A formula for the probability that n people have different birthdays is ((365-1)/365) * ((365-2)/365) * ((365-3)/365) * . . . * ((365-n+1)/365). If you know permutation notation, you can write this formula as (365_P_n)/(365^n). That's the same as 365! / ((365-n)! * 365^n). We've made some progress, but we still haven't answered the original question: how large must a class be to make the probability of finding two people with the same birthday at least 50%? We know that the probability of finding at least two people with the same birthday is 1 minus the probability that everybody has a different birthday, and we know how to find the probability that everybody has a different birthday for any number of people. The easiest way to find the right class size is to use a calculator to try different numbers in the formula. It turns out that the smallest class where the chance of finding two people with the same birthday is more than 50% is... a class of 23 people . (The probability is about 50.73%.) From the Dr. Math archives: Probability Theory: Coincidental Birthday Probability of the Same Birthday within a Group Birthday Probabilities Three Share a Birthday The Birthday Problem; Queuing at a Bank Birthday Probability, Class of 25 One Person of Seven Born on Monday Odds of Left-Handedness in a Group From the Web: The Birthday Problem: A short lesson in probability , George Reese A Java applet that you can use to test different class sizes (it works better with small classes) and graphs of the probability for different numbers of people. The Law of Small Errors , Keith Devlin The birthday problem, and related questions - what's the probability that someone will have your birthday? Birthday Surprises, Ivars Peterson Birthday Problem, Eric Weisstein's World of Mathematics Coincidence, Alexander Bogomolny How to Read Mathematics, Shai Simonson and Fernando Gouveau This article uses an explanation of the birthday problem as an example. An Introduction to Mathematica and the "Birthday Problem," Louie Beuschlein For a general review of probability: Probability, Dr. Math FAQ Probability in the Real World, Dr. Math FAQ - Ursula Whitcher, for the Math Forum Submit your ownquestion to Dr. Math [ Privacy Policy ] [ Terms of Use ] Math Forum Home || Math Library || Quick Reference || Math Forum Search Ask Dr. Math ® © 1994-2005 The Math Forum http://mathforum.org/dr.math/
Gift Ideas Gift Ideas
Amazon.com Video:Gift Ideas Your Store Video See All 31 Product Categories   Your Account | Cart | Wish List | Help advanced search | browse genres | top sellers | new & future releases | kids & family | movie showtimes | today's deals | used videos Search Amazon.com VHS Used Videos DVD DVD & VHS Movie Showtimes Advanced Search Web Search VHS > Gift Ideas Gift Ideas in Video Gifts for Less Videos Under$10 Boxed Sets More Great Bargains inToday's Deals in Video Videos for Kids & Family Birth to 2Years Ages 3 to6 Ages 7 to9 Ages 10 to12 More Videos for Kids &Family Holiday Videos Holiday Movies Animated HolidayVideos Holiday MusicVideos More Gift Ideas BoxedSets AFI Top 100 American Films Gifts inDVD Gifts inBooks Gifts inMusic VCRs DVD-VCR & Other DVDCombos TV &HDTV Gifts in Electronics,Kitchen, & More Best of 2004 Top 50 Editors'Picks Top 50 Customers'Favorites More Best of2004 Today's Top Sellers Amazon.com Hot 100Videos Kids &Family Television Musicals Fitness Yoga More Top Sellers byGenre Gifts by Genre Action &Adventure Classics Comedy Documentary Drama Fitness Kids &Family Musicals & PerformingArts Television See AllGenres Our Top Sellers Updated Hourly 1. The Omen Collection Gregory Peck (Primary Contributor) Price: $14.99 You Save: $14.99 (50%) Used & new from $21.76 2. Foyle's War - Set 1 Michael Kitchen (Primary Contributor) Price: $44.99 You Save: $15.00 (25%) Used & new from $39.91 3. This is America, Charlie Brown: The Birth of the Constitution Peanuts (Primary Contributor) Price: $7.96 You Save: $1.99 (20%) 4. Shirley Valentine Lewis Gilbert (Director), et al Price: $11.96 You Save: $2.99 (20%) Used & new from $12.75 5. Charlotte's Web Charles A. Nichols (Director), et al Price: $7.96 You Save: $1.99 (20%) Used & new from $1.50 More top sellers The Best Videos of 2004 Shrek 2 (2004) ~ Mike Myers The Bourne Supremacy (2004) ~ Matt Damon See more editors' picks Top 50 Customers' Favorites Living Yoga - Back Care Yoga for Beginners (1998) ~ Yoga for Beginners The Best of Schoolhouse Rock! - 30th Anniversary Edition (1973) See more customer favorites Boxed Set Gifts The Godfather Collection (Widescreen Edition) (1997) ~ Brando Yoga Zone - Yoga Basics 5 Pack (2001) See more video boxed sets Smart Holiday Giving Videos Under $10 Ferris Bueller's Day Off (1986) ~ Matthew Broderick Men in Black II (2002) ~ Tommy Lee Jones See more videos under $10 Interested in DVD? Get a DVD Starter Kit for Only $99.99 Interested inmaking the jump to DVD? For a limited time, you can pick up one of our five-DVDbundles along with a DVD player for only $99.99. See offer details Where's My Stuff? Track your recent orders . View or change your orders in Your Account . Shipping & Returns See our shipping rates & policies . Return an item (here's our Returns Policy ). Need Help? Forgot your password? Click here . Redeem or buy a gift certificate. Visit our Help department . Search VHS Used Video DVD DVD & VHS Movie Showtimes All Products for Top of Page Advanced Search | Browse Genres | Top Sellers | New & Future Releases Kids & Family | Movie Showtimes | Bargain Outlet | Used Videos Amazon.com Home | Directory of All Stores Our International Sites: Canada | United Kingdom | Germany | Japan | France  | China Contact Us | Help | Shopping Cart | Your Account | Sell Items | 1-Click Settings Investor Relations | Press Releases | Careers Conditions of Use | Privacy Notice © 1995-2005, Amazon.com, Inc. or its affiliates
Birthday Present
Math Forum: Ask Dr. Math FAQ: The Birthday Problem -- Ask Dr. Math: FAQ The Birthday Problem Dr. Math FAQ || Classic Problems || Formulas || Search Dr. Math || Dr. Math Home Suppose you flip a coin and bet that it will come up tails. Since you are equally likely to get heads or tails, the probability of tails is 50%. This means that if you try this bet often, you should win about half the time. What if somebody offered to bet that at least two people in your math class had the same birthday? Would you take the bet? This question is more complicated than flipping a coin, because the chance of finding two people with the same birthday depends on the number of people you ask. If there were only one other person in your math class, you might be surprised to find out that she had the same birthday as you. If there were a pair of people with the same birthday in a class of 366 people, would you still be surprised? How large must a class be to make the probability of finding two people with the same birthday at least 50%? Let's forget about leap year when we solve this problem (no February 29 birthdays!) This way, we can assume that a year is always 365 days long. We'll start by figuring out the probability that two people have the same birthday. The first person can have any birthday. That gives him 365 possible birthdays out of 365 days, so the probability of the first person having the "right" birthday is 365/365, or 100%. The chance that the second person has the same birthday is 1/365. To find the probability that both people have this birthday, we have to multiply their separate probabilities. (365/365) * (1/365) = 1/365, or about 0.27%. Now, what about three people ? The chance of the first and second person sharing a birthday is still 1/365. The first and third person might share a birthday instead. The probability of that is 1/365 as well. But what if the second and third person shared a birthday? And what if all three of them had the same birthday? Things are getting complicated fast. Four or five people would be even messier. Is there a simpler way? To solve the birthday problem, we need to use one of the basic rules of probability: the sum of the probability that an event will happen and the probability that the event won't happen is always 1. (In other words, the chance that anything might or might nothappen is always 100%.) If we can work out the probability that no two people will have the same birthday, we can use this rule to find the probability that two people will share a birthday: P(event happens) + P(event doesn't happen) = 1 P(two people share birthday) + P(no two people share birthday) = 1 P(two people share birthday) = 1 - P(no two people share birthday). So, what is the probability that no two people will share a birthday? Again, the first person can have any birthday. The second person's birthday has to be different. There are 364 different days to choose from, so the chance that two people have different birthdays is 364/365. That leaves 363 birthdays out of 365 open for the third person. To find the probability that both the second person and the third person will have different birthdays, we have to multiply: (365/365) * (364/365) * (363/365) = 132 132/133 225, which is about 99.18%. If we want to know the probability that four people will all have different birthdays, we multiply again: (364/365) * (363/365) * (362/365) = 47 831 784/ 48 627 125, or about 98.36%. We can keep on going the same way as long as we want. A formula for the probability that n people have different birthdays is ((365-1)/365) * ((365-2)/365) * ((365-3)/365) * . . . * ((365-n+1)/365). If you know permutation notation, you can write this formula as (365_P_n)/(365^n). That's the same as 365! / ((365-n)! * 365^n). We've made some progress, but we still haven't answered the original question: how large must a class be to make the probability of finding two people with the same birthday at least 50%? We know that the probability of finding at least two people with the same birthday is 1 minus the probability that everybody has a different birthday, and we know how to find the probability that everybody has a different birthday for any number of people. The easiest way to find the right class size is to use a calculator to try different numbers in the formula. It turns out that the smallest class where the chance of finding two people with the same birthday is more than 50% is... a class of 23 people . (The probability is about 50.73%.) From the Dr. Math archives: Probability Theory: Coincidental Birthday Probability of the Same Birthday within a Group Birthday Probabilities Three Share a Birthday The Birthday Problem; Queuing at a Bank Birthday Probability, Class of 25 One Person of Seven Born on Monday Odds of Left-Handedness in a Group From the Web: The Birthday Problem: A short lesson in probability , George Reese A Java applet that you can use to test different class sizes (it works better with small classes) and graphs of the probability for different numbers of people. The Law of Small Errors , Keith Devlin The birthday problem, and related questions - what's the probability that someone will have your birthday? Birthday Surprises, Ivars Peterson Birthday Problem, Eric Weisstein's World of Mathematics Coincidence, Alexander Bogomolny How to Read Mathematics, Shai Simonson and Fernando Gouveau This article uses an explanation of the birthday problem as an example. An Introduction to Mathematica and the "Birthday Problem," Louie Beuschlein For a general review of probability: Probability, Dr. Math FAQ Probability in the Real World, Dr. Math FAQ - Ursula Whitcher, for the Math Forum Submit your ownquestion to Dr. Math [ Privacy Policy ] [ Terms of Use ] Math Forum Home || Math Library || Quick Reference || Math Forum Search Ask Dr. Math ® © 1994-2005 The Math Forum http://mathforum.org/dr.math/