Statistical Hypothesis

Any opinion or idea may be formed about the population under study. Consider the following statements: Average consumption of sugar per month for a consumer is 1 kg; Intelligent parents have intelligent children, tall fathers have tall sons, average life of the people of Pakistan is higher than that of India, proper greasing increases the life of ceiling fans, use of coffee increases chances of heart attack, one variety of seed is better than the other, a medicine of allergy gives relief to at least 80 % of the people, more than 25 % people are literate in our country, only 60 % people will go to the polling stations for voting. These statements are the questions in different fields of life and these questions are to be answered after proper experimentation. These questions have come up in the process of investigations. This is how the hypotheses are generated during various studies. When an assumption is explained in the form of a statement about the distribution of a population or populations, it is called a statistical hypothesis. In simple words, a statistical hypothesis is a statement about the unknown value of the population parameter. The statement may be true or false.