25 Pick Up Lines From Movies

25 Pick Up Lines From Movies At the outset, lets make it clear to all men reading this article: pick up lines usually dont help land you a date. In most cases, you will only end up offending the woman you wish to woo. If you try a funny pick up line, you run the risk of the joke falling flat. A nerdy one may never make the mark, especially if the woman does not understand your jargon. A clever pick up line may not cut ice if the woman does not like Mr. Smarty Pants. Some men believe that flattery can help them win a date. While women love to be showered with attention, they can easily see through fake flattery. Often such pick up lines become juicy tidbits for women to share among their girlfriends over cocktails. What Makes Pick Up Lines Fun? Pick up lines could be great starting points for conversation. It can help break the ice, but it does not guarantee you a date. For instance, a woman was approached by a man with a pick up line, â€Å"Well, here I am, what are your other two wishes?† Now, this line did not work its magic on her. She quipped, â€Å"I wish that you’d buy your drink and then disappear.† The man realized that she was not interested and walked away with dignity. Who Should Not Use Pick Up Lines? If you lack the confidence to approach a woman, dont use pick up lines. They will repel  women. If you are shy and find it tough to meet new people you should refrain from pick up lines too. Pick up lines work if you exude confidence and an aura of sexiness. Are you a charming, debonair man with a magnetic personality? If yes, you can try using pick up lines. Of course, if you were to approach an equally confident and bold woman, she will quite likely snub your overtures. Pick up lines with sexual undertones usually put off women who view men as predators who are only looking for sex. So dont try to pick women with cheesy lines like, â€Å"If youre feeling down, I can feel you up.† Lines like that wont earn you a date, but will surely earn you a slap! Think of pick up lines as a part of a mating ritual. After all, it’s a delicate dance, where both the man and the woman need to be attracted to each other. What Women Really Think About Pick Up Lines Women who are looking for a lifetime partner are usually not impressed by pick up lines. Some women find pick up lines amusing if not flattering, but most women prefer to start a conversation with a simple, Hi, I am Tom! or something similar. What Men Think About Women Using Pick Up Lines Should women use pick up lines? Do men like to be approached with a pick up line? Maybe this is going out on a limb here, but most men would probably love it if women approached them with pick up lines. The bold, seductive woman gets maximum attention. Pick up lines could be cheesy, corny or funny. Men would enjoy a sporting woman who has the confidence to approach men for a date. Of course, needless to say, the woman should also exude confidence. Her sex appeal would win her brownie points. Pick Up Lines From Movies Here are some seductive, pick up lines from movies. These pick up lines are great conversation starters. If you are a movie buff and you want to woo someone who shares your interest, use a pick up line from this collection. Whats more, you can use these lines on Valentine’s Day to express your love to your girlfriend or wife. Clark Gable, Gone with the WindYou need kissing badly. Thats whats wrong with you. You should be kissed often, and by someone who knows how. Will Smith, HitchNow on the one hand, its very difficult for a man to even speak to someone who looks like you. But on the other hand, should that be your problem? George Clooney, Intolerable CrueltyYour husband had told me you were the most beautiful woman hed ever met. I didnt expect the most beautiful woman Id ever met. John Cusack, The Sure ThingHow would you like to have a sexual encounter so intense, it could conceivably change your political views? Ralph Fiennes, The English PatientSwoon - Ill catch you. Owen Wilson, Wedding CrashersYou know how they say we only use ten percent of our brains? I think we only use ten percent of our hearts. Jimmy Stewart, You Cant Take It with YouI hear voices, too. Voices that say, If you dont kiss her soon, youre a chump. John Gilbert, Flesh and the DevilYou know... when you blow out the match... thats an invitation to kiss you? Bradley Cooper,  The HangoverMaam in the leopard dress... you have an amazing rack. Ingrid Bergman, CasablancaIs that canon fire, or is it my heart pounding? Ryan Gosling, The NotebookI want you. I want all of you. Forever. You and me. Every day. Steve Carell, AnchormanI would like to extend to you an invitation to the pants party. Brad Pitt, Thelma and LouiseI may be an outlaw, darling. But youre the one stealing my heart. Mike Myers, Austin Powers: The Spy Who Shagged MeLets hop on the good foot and do the bad thing. Natalie Portman, No Strings AttachedYou give me premature ventricular contractions. You make my heart skip a beat. Sean Connery, You Only Live TwiceNow whats a nice girl like you doing in a place like this? Tom Cruise, Vanilla SkySee, Ive got this little problem. Ive got a stalker... I need a cover. I need for you to pretend were having a scintillating conversation, and you are wildly entertained. Sam Rockwell, The Hitchhikers Guide to the GalaxyWanna see my spaceship? Will Ferrell, AnchormanI dont know how to put this, but... Im kind of a big deal. Matthew Perry, Fools Rush InYou are everything I never knew I always wanted. Steve Martin, My Blue HeavenYou know, its dangerous for you to be here in the frozen foods section - because you could melt all this stuff. Nicolas Cage, Leaving Las VegasI really wish youd come home with me. Youre so cute, and Im really good in bed, too, believe me. Jack Nicholson, As Good As It GetsYou make me want to be a better man. Jack Lemmon, The ApartmentI used to live like Robinson and Crusoe, shipwrecked among eight million people. But one day I saw a footprint in the sand and there you were. Gerard Butler, PS I Love YouI know what I want, because I have it in my hands right now. You.

Degrees of Freedom in Statistics and Mathematics

Degrees of Freedom in Statistics and Mathematics In statistics, the degrees of freedom are used to define the number of independent quantities that can be assigned to a statistical distribution. This number typically refers to a positive whole number that indicates the lack of restrictions on a persons ability to calculate missing factors from statistical problems. Degrees of freedom act as variables in the final calculation of a statistic and are used to determine the outcome of different scenarios in a system, and in math degrees of freedom define the number of dimensions in a domain that is needed to determine the full vector. To illustrate the concept of a degree of freedom, we will look at a basic calculation concerning the sample mean, and to find the mean of a list of data, we add all of the data and divide by the total number of values. An Illustration with a Sample Mean For a moment suppose that we know the mean of a data set is 25 and that the values in this set are 20, 10, 50, and one unknown number. The formula for a sample mean gives us the equation (20 10 50 x)/4 25, where x denotes the unknown, using some basic algebra, one can then determine that the missing number,  x, is equal to 20. Lets alter this scenario slightly. Again we suppose that we know the mean of a data set is 25. However, this time the values in the data set are 20, 10, and two unknown values. These unknowns could be different, so we use two different variables, x, and y,  to denote this. The resulting equation is (20 10 x y)/4 25. With some algebra, we obtain y 70- x. The formula is written in this form to show that once we choose a value for x, the value for y is completely determined. We have one choice to make, and this shows that there is one degree of freedom. Now well look at a sample size of one hundred. If we know that the mean of this sample data is 20, but do not know the values of any of the data, then there are 99 degrees of freedom. All values must add up to a total of 20 x 100 2000. Once we have the values of 99 elements in the data set, then the last one has been determined. Student t-score and Chi-Square Distribution Degrees of freedom play an important role when using the Student t-score table. There are actually several t-score distributions. We differentiate between these distributions by use of degrees of freedom. Here the probability distribution that we use depends upon the size of our sample. If our sample size is n, then the number of degrees of freedom is n-1. For instance, a sample size of 22 would require us to use the row of the t-score table with 21 degrees of freedom. The use of a chi-square distribution also requires the use of degrees of freedom. Here, in an identical manner as with the t-score  distribution, the sample size determines which distribution to use. If the sample size is n, then there are n-1 degrees of freedom. Standard Deviation and Advanced Techniques Another place where degrees of freedom show up is in the formula for the standard deviation. This occurrence is not as overt, but we can see it if we know where to look. To find a standard deviation we are looking for the average deviation from the mean. However, after subtracting the mean from each data value and squaring the differences, we end up dividing by n-1 rather than n as we might expect. The presence of the n-1 comes from the number of degrees of freedom. Since the n data values and the sample mean are being used in the formula, there are n-1 degrees of freedom. More advanced statistical techniques use more complicated ways of counting the degrees of freedom. When calculating the test statistic for two means with independent samples of n1 and n2 elements, the number of degrees of freedom has quite a complicated formula. It can be estimated by using the smaller of n1-1 and n2-1 Another example of a different way to count the degrees of freedom comes with an F test. In conducting an F test we have k samples each of size n- the degrees of freedom in the numerator is k-1 and in the denominator is k(n-1).