A researcher asked 933 people which type of programme they prefer to watch on television. Results are below.

\begin{array} { | l | l | l | l | l | l | } \hline & \text { News } & \text { Dexumentaries } & \text { Soaps } & \text { Sport } & \text { Total } \\\hline \text { Women } & 108 & 123 & 187 & 62 & 480 \\\hline \text { Men } & 130 & 123 & 68 & 132 & 453 \\\hline \text { Total } & 238 & 246 & 255 & 194 & 933 \\\hline\end{array}

A chi-square test produced the SPSS output below. What can we conclude from this output?

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\text {Chi-Square Tests}

\begin{array}{|l|r|r|r|} \hline & {\text { Value }} & {\text { df }} & {\begin{array}{c}\text { Asymp. Sig. } \\(2 \text {-sided) }\end{array}} \\\hline \text { Pearson Chi-Square } & 82.112^{a} & 3 & .000 \\\text { Likelihood Ratio } & 84.840 & 3 & .000 \\\text { Linear-by-Linear } & .105 & 1 & .746 \\\text { Association } \\\text { Nof Valid Cases }& 933 & &\\ \hline \end{array}

a. 0 cells

(0 \%)

have expected count less than 5 . The minimum expected count is 94.19 .
A)The profile of programmes watched was significantly different between men and women.
B)Women watched significantly more programmes than men.
C)Significantly more soap operas were watched.
D)Men and women watch similar types of programmes.

If the Assumption of Expected Frequencies Is Not Met for a 2

Multiple Choice

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