A researcher performed a study to determine whether an association exists between political party affiliation and income.She obtained the following sample data.Use a 1% level of significance. income bracketparty Low Middle High Total Conservative 10113097328 NDP 78113146337 Other 1534958 Total 194277252723\begin{array}{|l|r|r|r|r|}&&\text {income bracket}\\\hline party& \text { Low } & \text { Middle } & \text { High } & \text { Total } \\\hline \text { Conservative } & 101 & 130 & 97 & 328 \\\hline \text { NDP } & 78 & 113 & 146 & 337 \\\hline \text { Other } & 15 & 34 & 9 & 58 \\\hline \text { Total } & 194 & 277 & 252 & 723 \\\hline\end{array}party Conservative NDP Other Total Low 1017815194income bracket Middle 13011334277 High 971469252 Total 32833758723x2x ^ { 2 }x2 = 27.831; P-value = 0.0000135
A) Reject the null hypothesis.The data provide sufficient evidence to conclude that political party affiliation is distributed uniformly for each income bracket. B) Do not reject the null hypothesis.There is insufficient evidence to conclude that there is a relationship between income and political party affiliation. C) Reject the null hypothesis.The data provide sufficient evidence to conclude that there is a relationship between income and political party affiliation. D) Do not reject the null hypothesis.The data provide sufficient evidence to conclude that there is a relationship between income and political party affiliation. E) Reject the null hypothesis.There is insufficient evidence to conclude that there is a relationship between income and political party affiliation.
A pet store had $468.42 cash on hand. It received cash payments of $62.88 and $59.14. It paid out $56.50 to have the windows washed. Determine the amount of cash the pet store had left.