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To quantify the distances between the observed and expected counts, calculate the value of the chi-square statistic. Round calculations in the far-right column to the nearest thousandth. Group Expected Count Observed Count ( O b s e r v e d − E x p e c t e d ) 2 E x p e c t e d Chicago 29 New York 35 Boston 33 Los Angeles 36 Houston 23 Chi-square statistic: (rounded to the nearest thousandth)

User Jon Smock
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To calculate the chi-square statistic, you'll need to follow these steps:

1. Calculate the difference between observed and expected counts for each city.
2. Square each difference.
3. Divide each squared difference by the expected count.
4. Add up all these values to find the chi-square statistic.

Let's start with the given data:

- Chicago: Expected Count = 29, Observed Count = ?
- New York: Expected Count = 35, Observed Count = ?
- Boston: Expected Count = 33, Observed Count = ?
- Los Angeles: Expected Count = 36, Observed Count = ?
- Houston: Expected Count = 23, Observed Count = ?

Please provide the observed counts for each city so we can proceed with the calculations.
User Amadan
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