# Question: 1 Number of degrees of freedom in the chi squared test

1. Number of degrees of freedom in the chi-squared test of independence in a 2 × 2 table

2. Number of constraints on frequencies in the chi-squared test of goodness of ft of a binomial distribution

3. P-value if x2 = 9.488 when testing for independence in a 3 × 3 table

4. P-value if x2 = 16.812 when testing the null hypothesis that a categorical variable with

7 levels has a uniform distribution

5. Smallest possible value of x2

6. Impossible value for x2

7. Reject the null hypothesis of independence in a 3 × 4 contingency table if x2 is larger than this value and a = 0.05

8. Reject the null hypothesis of independence in a 6 × 3 contingency table if x2 is larger than this value and a = 0.01

9. The expected cell count in a table should be larger than this number when using x2

10. Number of degrees of freedom if using chi-squared to test whether four proportions are the same

(a) 0

(b) 0.01

(c) 23.209

(d) 10

(e) 1

(f) 0.05

(g) 3

(h) 2

(i) 12.592

(j) – 1

2. Number of constraints on frequencies in the chi-squared test of goodness of ft of a binomial distribution

3. P-value if x2 = 9.488 when testing for independence in a 3 × 3 table

4. P-value if x2 = 16.812 when testing the null hypothesis that a categorical variable with

7 levels has a uniform distribution

5. Smallest possible value of x2

6. Impossible value for x2

7. Reject the null hypothesis of independence in a 3 × 4 contingency table if x2 is larger than this value and a = 0.05

8. Reject the null hypothesis of independence in a 6 × 3 contingency table if x2 is larger than this value and a = 0.01

9. The expected cell count in a table should be larger than this number when using x2

10. Number of degrees of freedom if using chi-squared to test whether four proportions are the same

(a) 0

(b) 0.01

(c) 23.209

(d) 10

(e) 1

(f) 0.05

(g) 3

(h) 2

(i) 12.592

(j) – 1

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