For every football game there is a team that is expected to win by a certain number of points. In better parlance, this is called the spread. If pointspreads are accurate, we would expect about half of all games played to result in the favored team winning or beating the spread in about half of the all games to result in the team favored to not beat the spread. The company data represents the result of 45 randomly selected games were 80 indicates the favorite team did not beat the spread and it won indicates the favorite team beat the spread. Do the data suggest the sports books establish accurate spreads? use technology to find the P value. P value =_. (round to three decimal places as needed.) should one reject the null hypothesis? or should one not reject the null hypothesis?
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.
For every football game there is a team that is expected to win by a certain number of points. In better parlance, this is called the spread. If pointspreads are accurate, we would expect about half of all games played to result in the favored team winning or beating the spread in about half of the all games to result in the team favored to not beat the spread. The company data represents the result of 45 randomly selected games were 80 indicates the favorite team did not beat the spread and it won indicates the favorite team beat the spread. Do the data suggest the sports books establish accurate spreads?
use technology to find the P value.
P value =_.
(round to three decimal places as needed.)
should one reject the null hypothesis?
or
should one not reject the null hypothesis?
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