1. Data Case Hospitalized? Gender Age Insured Count of Patients 1 Yes
Male
>65 10 2
<65 20 3
Female 30 4 No 40 5 6 7 60 8 80

2. Step 1: Replace text with 1 and 0.
Case
Hospitalized
Gender
Age
Insured 1 2 3 4 5 6 7 8

3. Step 2: Calculate a Contingency Table
Age
<65
>65
Total
Gender
Male 60 30 90
Female
120
210
180
300

4. Step 2: Calculate a Contingency Table
Calculated from ranges using =sumproduct (gender, age, count)
Age
<65
>65
Total
Gender
Male 60 30 90
Female
120
210
180
300
Sum of row
Sum of Column

5. Step 3: Calculate Expected Counts
Age
<65
>65
Total
Gender
Male 54 36 90
Female
126 84
210
180
120
300

6. Step 4: Calculate Chi-square
p-value
0.123
Chi-square
5.780

7. Step 4: Calculate Chi-square
=CHITEST( actual_range, expected_range )
p-value
0.123
Chi-square
5.780

8. Step 4: Calculate Chi-square
p-value
0.123
Chi-square
5.780
=CHIINV( p-value, degrees_freedom )
=CHIINV(0.123,3)
Degrees of freedom is 4 observation minus 1 estimated parameter = 3