The figures below show histograms of several binomial distributions with n = 6 trials In general, when the probability of success p is close to 0.5, would you say that the graph is more symmetrical or more skewed? Choose one of the options: A. skewed right B. symmetrical C. skewed left In general, when the probability of success p is close to 1, would you say that the graph is skewed to the right or to the left? What about when p is close to 0? Choose one of the options: A. When p is close to 1 it will be skewed right. When p is close to 0 it will be skewed left. B. The graph will be skewed right when p is close to 1 and when p is close to 0. C. When p is close to 1 it will be skewed left. When p is close to 0 it will be skewed right. D. The graph will be skewed left when p is close to 1 and when p is close to 0.
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.
The figures below show histograms of several binomial distributions with n = 6 trials
In general, when the probability of success p is close to 0.5, would you say that the graph is more symmetrical or more skewed? Choose one of the options:
A. skewed right
B. symmetrical
C. skewed left
In general, when the probability of success p is close to 1, would you say that the graph is skewed to the right or to the left? What about when p is close to 0? Choose one of the options:
A. When p is close to 1 it will be skewed right. When p is close to 0 it will be skewed left.
B. The graph will be skewed right when p is close to 1 and when p is close to 0.
C. When p is close to 1 it will be skewed left. When p is close to 0 it will be skewed right.
D. The graph will be skewed left when p is close to 1 and when p is close to 0.
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In the chi-square distribution, the curve is
| symmetrical | |
| non symmetrical and skewed to the right | |
| non symmetrical and skewed to the left | |
| non symmetrical and can be skewed to the left or right |
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