Question 14 Marks
Explain law of statistical regularity and law of inertia of large numbers in short.
Answer
View full question & answer→1. Law of statistical regularity: This law is formulated on the theory of probability. According to this law, if a random sample of adequate size is selected from a large population, it tends to possess the same characteristics as those of the population. It implies that a sample can give an approximately equal value of entre population if sample is selected at random. For example, if 100 girls are selected form a group of 1000 and their heights are taken then average height obtained will be approximately equal to average height obtained by sum of 5000 girls.
2. Law of inertia of large numbers: This law is a corollary to law of statistical regularity. It states that the averages obtained from a large number are more stable than the aggregates or averages obtained from a small number. If a coin is tossed 10 times it is possible that one gets 9 heads and one tail but if it is tossed 1000 times, figure will be nearer to 500 for both.
2. Law of inertia of large numbers: This law is a corollary to law of statistical regularity. It states that the averages obtained from a large number are more stable than the aggregates or averages obtained from a small number. If a coin is tossed 10 times it is possible that one gets 9 heads and one tail but if it is tossed 1000 times, figure will be nearer to 500 for both.
