I toss a coin 1000 times and observe the outcome “heads” 481 times. Which of the following can be concluded from this result? A) This is suspicious because we should observe exactly 500 heads if the coin is tossed 1000 times. B) The probability of heads is approximately 481. C) Our best estimate of the probability of heads is 0.481, but a longer sequence of flips should yield a better estimate of this probability. D) If we flip the coin several more times, we will get more heads than tails in order to balance out the fact that the first thousand flips had too few heads.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
I toss a coin 1000 times and observe the outcome “heads” 481 times. Which of the following can be concluded from this result?
A) This is suspicious because we should observe exactly 500 heads if the coin is tossed 1000 times.
B) The
C) Our best estimate of the probability of heads is 0.481, but a longer sequence of flips should yield a better estimate of this probability.
D) If we flip the coin several more times, we will get more heads than tails in order to balance out the fact that the first thousand flips had too few heads.
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