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Sagot :
The chi-squared test statistic will be 3.11. The test statistic is contrasted with a predicted value based on the Chi-square distribution.
What is the chi-squared test statistic?
Finding the squared difference between the actual and anticipated data values, then dividing that difference by the expected data values, constitutes the test statistic.
The formula for the chi-squared test statistic is;
[tex]\sum \frac{(O_i-E_i)^2}{E_i } \\\\[/tex]
Where,
[tex]\rm O_i[/tex] is the observed value
[tex]\rm E_i[/tex] is the expected value
The chi-square test statics is;
[tex]\rm( \frac{18-18}{18} )^2 +( \frac{14-18}{18} )^2 + (\frac{24-18}{18} )^2+( \frac{16-18}{18} )^2 \\\\ 0+ \frac{16}{18}+ \frac{36}{18} +\frac{4}{18}\\\\ \frac{56}{18} \\\\ 3.11[/tex]
Hence, the chi-squared test statistic will be 3.11.
To learn more about the chi-squared test statistic refer;
https://brainly.com/question/14082240
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