Civil Rights Act Of 1964 Analysis
In Civil Rights Act of 1964, is a piece of legislation that outlawed the discrimination based on race, color, religion, sex, or national origin. While voting for the legislation in the House of Representatives: Democrats supported it 152 to 96 while Republicans supported it 138 to 34. When the Senate held a vote for the legislation: Democrats supported it 46 to 21 and Republicans supported it 27 to 6. The Purpose of this analysis is to determine whether or not there is a significant association between the two parties and the support of the Civil Rights Act of 1964.
In Congress (which consists of the House of Representatives and the Senate) there were 520 congressmen who voted for or against the Civil Rights Act of 1964. Out of those Congressmen …show more content…
The Null Hypothesis being tested is: there is no significant association between the two parties and the support of the civil rights act of 1964. The Research Hypothesis is: There is a significant association between the two parties and support of the Civil Rights Act of 1964 such that: If you are a part of the Republican party you are more likely to support the Civil Rights act of …show more content…
When conducting the test one would use 2 types of categorical information: Political Party and Support for the Civil Rights Act of 1964. Next creating the Chi Square, and then determining the expected numeral for the data. Comparing the difference between the observed data versus the expected data, one can then calculate the Chi Square Statistic. When calculating these data points for this analysis, we find that the chi square statistic is 18.3143. Next, we determine the critical limit at alpha 0.05, which is 3.841. The last step into completing the Chi Square Analysis is to draw a graph to help interpret the data we have found. We will use the critical limit in order to determine the Beta and the Alpha regions within the graph. We next can take the Chi Square Statistic and plot it on the graph to visualize which region the data falls within. For this instance the Chi Square Statistic falls with in the Alpha region, meaning we can reject the Null Hypothesis, and there is a significant
In Congress (which consists of the House of Representatives and the Senate) there were 520 congressmen who voted for or against the Civil Rights Act of 1964. Out of those Congressmen …show more content…
The Null Hypothesis being tested is: there is no significant association between the two parties and the support of the civil rights act of 1964. The Research Hypothesis is: There is a significant association between the two parties and support of the Civil Rights Act of 1964 such that: If you are a part of the Republican party you are more likely to support the Civil Rights act of …show more content…
When conducting the test one would use 2 types of categorical information: Political Party and Support for the Civil Rights Act of 1964. Next creating the Chi Square, and then determining the expected numeral for the data. Comparing the difference between the observed data versus the expected data, one can then calculate the Chi Square Statistic. When calculating these data points for this analysis, we find that the chi square statistic is 18.3143. Next, we determine the critical limit at alpha 0.05, which is 3.841. The last step into completing the Chi Square Analysis is to draw a graph to help interpret the data we have found. We will use the critical limit in order to determine the Beta and the Alpha regions within the graph. We next can take the Chi Square Statistic and plot it on the graph to visualize which region the data falls within. For this instance the Chi Square Statistic falls with in the Alpha region, meaning we can reject the Null Hypothesis, and there is a significant