A sweet manufacturer claims the colour proportions shown in the table. A random sample of 150 sweets gives the observed counts. Compute the chi-square goodness-of-fit statistic χ² for H₀: the claimed proportions are correct.
Chi-square tests worksheet with answers
A sweet manufacturer claims the colour proportions shown in the table. A random sample of 80 sweets gives the observed counts. Compute the chi-square goodness-of-fit statistic χ² for H₀: the claimed proportions are correct.
The contingency table shows observed counts. Compute the chi-square statistic χ² for the test of independence between the row and column variables. Do not use a continuity correction.
The contingency table shows observed counts. For a chi-square test of independence, find the expected count E for the cell “night shift, major”.
The table shows observed counts. Test at α = 0.01 whether the two variables are independent (no continuity correction). Compute the test statistic χ², then compare it with the critical value from the table.
A chi-square test of independence is carried out on a contingency table with 4 rows and 4 columns (not counting the totals). Using the table, find the critical value χ²crit at significance level α = 0.05.
Answer key
- 1. χ² = 12.24
- 2. χ² = 8.15
- 3. χ² = 2.889
- 4. E = 19.78
- 5. χ² = 0.3333
- 6. χ²crit = 16.92
Full step-by-step solutions: practise this topic on examproblems.com.