In: Statistics and Probability
You just saw a commercial for the Tread Master, an exercise machine that claims an average weight loss of 10 pounds. A commercial for the Climber, a competing product, claims that only 1 out of 10 users of the Tread Master lost any weight at all. The rest of them gained weight. How can both of these claims be true?
We oftenly see these type of claims and wonder how these are , however our question here is to how both the companies claims are true , this happens oftenly due to biased sampler when statisticians take sample biasedly , when statisticians wants to prove to prove their logic anyhow here , there is a chance the Tread Master may have taken sample as those users who also goes to gym regularly takes a healthy diet , have a hectic schedule while Climber may ahve choosen those users as sample whose life is sedentary , loves too much fast foods and all that type of activies which leads to weight gain.
There is also one other conclusion for these type of statements may be the Tread Master helps in weight loss in first two or three , when people loose water weight while Climber have taken sample of those users who are using it for more than a year ,
However its all came down to sample , whenever sample is not proper representation of population companies can conclude these types of statement