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Null-hypothesis for a 
Chi-Square Goodness of Fit Test
With hypothesis testing we are setting up a null-hypothesis 
–
With hypothesis testing we are setting up a null-hypothesis 
– the probability that there is no effect or 
relationship –
With hypothesis testing we are setting up a null-hypothesis 
– the probability that there is no effect or 
relationship – and then we collect evidence that leads 
us to either accept or reject that null hypothesis.
As you may recall, a Chi-square Goodness of Fit test is a 
method that tests the degree to which the distribution 
of a nominal variable (e.g., gender, political affiliation, 
ethnic group, levels of age, etc.) from a sample fits the 
hypothesized distribution.
Example
Problem 
A public opinion poll surveyed a simple random sample of 1000 
voters in the blue state of Connecticut. Respondents were asked 
to share their party affiliation (Republican or Democrat) 
Results are shown in the table below. 
Respondents were asked to share their party affiliation 
(Republican or Democrat) 
Results are shown in the table below. 
The expectation is that the distribution would be even or 50/50. 
To what degree does the sample distribution fit the expected 
distribution?
Problem 
A public opinion poll surveyed a simple random sample of 1000 
voters in the blue state of Connecticut. Respondents were asked 
to share their party affiliation (Republican or Democrat) 
Results are shown in the table below. 
Respondents were asked to share their party affiliation 
(Republican or Democrat) 
Results are shown in the table below. 
The expectation is that the distribution would be even or 50/50. 
To what degree does the sample distribution fit the expected 
distribution?
Problem 
A public opinion poll surveyed a simple random sample of 1000 
voters in the blue state of Connecticut. Respondents were asked 
to share their party affiliation (Republican or Democrat) 
Results are shown in the table below. 
Results are shown in the table below. 
The expectation is that the distribution would be even or 50/50. 
To what degree does the sample distribution fit the expected 
distribution?
Problem 
A public opinion poll surveyed a simple random sample of 1000 
voters in the blue state of Connecticut. Respondents were asked 
to share their party affiliation (Republican or Democrat) 
Results are shown in the table below. 
Party Affiliation 
Results are shown in the table below. 
Republican Democrat 
320 680 
The expectation is that the distribution would be even or 50/50. 
To what degree does the sample distribution fit the expected 
distribution?
Problem 
A public opinion poll surveyed a simple random sample of 1000 
voters in the blue state of Connecticut. Respondents were asked 
to share their party affiliation (Republican or Democrat) 
Results are shown in the table below. 
Party Affiliation 
Results are shown in the table below. 
Republican Democrat 
320 680 
The expectation is that the distribution would be even or 40/60. 
To what degree does the sample distribution fit the expected 
distribution?
Problem 
A public opinion poll surveyed a simple random sample of 1000 
voters in the blue state of Connecticut. Respondents were asked 
to share their party affiliation (Republican or Democrat) 
Results are shown in the table below. 
Party Affiliation 
Republican Democrat 
320 680 
The expectation is that the distribution would be even or 40/60. 
To what degree does the sample distribution fit the expected 
distribution?
Here is a template for writing a null-hypothesis for a 
Chi-square Goodness of Fit Test:
Here is a template for writing a null-hypothesis for a 
Chi-square Goodness of Fit Test: 
The [Insert Category Heading] of [Insert Nominal 
Variable] occur with a [Insert Probability].
Let’s go back to our problem:
Problem 
A public opinion poll surveyed a simple random sample of 1000 
voters in the blue state of Connecticut. Respondents were asked 
to share their party affiliation (Republican or Democrat) 
Results are shown in the table below. 
Party Affiliation 
Republican Democrat 
320 680 
The expectation is that the distribution would be even or 40/60. 
To what degree does the sample distribution fit the expected 
distribution?
Problem 
A public opinion poll surveyed a simple random sample of 1000 
voters in the blue state of Connecticut. Respondents were asked 
to share their party affiliation (Republican or Democrat) 
Results are shown in the table below. 
Party Affiliation 
Republican Democrat 
320 680 
The expectation is that the distribution would be even or 40/60. 
To what degree does the sample distribution fit the expected 
distribution? 
The null-hypothesis: The [Insert Category Heading] of 
[Insert Categories] occur at a [Insert Hypothesized 
Probability] probability in Connecticut.
Problem 
A public opinion poll surveyed a simple random sample of 1000 
voters in the blue state of Connecticut. Respondents were asked 
to share their party affiliation (Republican or Democrat) 
Results are shown in the table below. 
Party Affiliation 
Republican Democrat 
320 680 
The expectation is that the distribution would be even or 40/60. 
To what degree does the sample distribution fit the expected 
distribution? 
The null-hypothesis: The [Insert Category Heading] of 
[Insert Categories] occur at a [Insert Hypothesized 
Probability] probability in Connecticut.
Problem 
A public opinion poll surveyed a simple random sample of 1000 
voters in the blue state of Connecticut. Respondents were asked 
to share their party affiliation (Republican or Democrat) 
Results are shown in the table below. 
Party Affiliation 
Republican Democrat 
320 680 
The expectation is that the distribution would be even or 40/60. 
To what degree does the sample distribution fit the expected 
distribution? 
The null-hypothesis: The party affiliation of [Insert 
Categories] occur at a [Insert Hypothesized Probability] 
probability in Connecticut.
Problem 
A public opinion poll surveyed a simple random sample of 1000 
voters in the blue state of Connecticut. Respondents were asked 
to share their party affiliation (Republican or Democrat) 
Results are shown in the table below. 
Party Affiliation 
Republican Democrat 
320 680 
The expectation is that the distribution would be even or 40/60. 
To what degree does the sample distribution fit the expected 
distribution? 
The null-hypothesis: The party affiliation of Republican / 
Democrat occur at a [Insert Hypothesized Probability] 
probability in Connecticut.
Problem 
A public opinion poll surveyed a simple random sample of 1000 
voters in the blue state of Connecticut. Respondents were asked 
to share their party affiliation (Republican or Democrat) 
Results are shown in the table below. 
Party Affiliation 
Republican Democrat 
320 680 
The expectation is that the distribution would be even or 40/60. 
To what degree does the sample distribution fit the expected 
distribution? 
The null-hypothesis: The party affiliation of Republican / 
Democrat occur at a .4/.6 probability in Connecticut.
Here is a template:
Here is a template: 
The null-hypothesis: The [Insert Category Heading] of 
[Insert Categories] occur at a [Insert Hypothesized 
Probability] probability.

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Null hypothesis for a chi-square goodness of fit test

  • 1. Null-hypothesis for a Chi-Square Goodness of Fit Test
  • 2. With hypothesis testing we are setting up a null-hypothesis –
  • 3. With hypothesis testing we are setting up a null-hypothesis – the probability that there is no effect or relationship –
  • 4. With hypothesis testing we are setting up a null-hypothesis – the probability that there is no effect or relationship – and then we collect evidence that leads us to either accept or reject that null hypothesis.
  • 5. As you may recall, a Chi-square Goodness of Fit test is a method that tests the degree to which the distribution of a nominal variable (e.g., gender, political affiliation, ethnic group, levels of age, etc.) from a sample fits the hypothesized distribution.
  • 7. Problem A public opinion poll surveyed a simple random sample of 1000 voters in the blue state of Connecticut. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. The expectation is that the distribution would be even or 50/50. To what degree does the sample distribution fit the expected distribution?
  • 8. Problem A public opinion poll surveyed a simple random sample of 1000 voters in the blue state of Connecticut. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. The expectation is that the distribution would be even or 50/50. To what degree does the sample distribution fit the expected distribution?
  • 9. Problem A public opinion poll surveyed a simple random sample of 1000 voters in the blue state of Connecticut. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. Results are shown in the table below. The expectation is that the distribution would be even or 50/50. To what degree does the sample distribution fit the expected distribution?
  • 10. Problem A public opinion poll surveyed a simple random sample of 1000 voters in the blue state of Connecticut. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. Party Affiliation Results are shown in the table below. Republican Democrat 320 680 The expectation is that the distribution would be even or 50/50. To what degree does the sample distribution fit the expected distribution?
  • 11. Problem A public opinion poll surveyed a simple random sample of 1000 voters in the blue state of Connecticut. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. Party Affiliation Results are shown in the table below. Republican Democrat 320 680 The expectation is that the distribution would be even or 40/60. To what degree does the sample distribution fit the expected distribution?
  • 12. Problem A public opinion poll surveyed a simple random sample of 1000 voters in the blue state of Connecticut. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. Party Affiliation Republican Democrat 320 680 The expectation is that the distribution would be even or 40/60. To what degree does the sample distribution fit the expected distribution?
  • 13. Here is a template for writing a null-hypothesis for a Chi-square Goodness of Fit Test:
  • 14. Here is a template for writing a null-hypothesis for a Chi-square Goodness of Fit Test: The [Insert Category Heading] of [Insert Nominal Variable] occur with a [Insert Probability].
  • 15. Let’s go back to our problem:
  • 16. Problem A public opinion poll surveyed a simple random sample of 1000 voters in the blue state of Connecticut. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. Party Affiliation Republican Democrat 320 680 The expectation is that the distribution would be even or 40/60. To what degree does the sample distribution fit the expected distribution?
  • 17. Problem A public opinion poll surveyed a simple random sample of 1000 voters in the blue state of Connecticut. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. Party Affiliation Republican Democrat 320 680 The expectation is that the distribution would be even or 40/60. To what degree does the sample distribution fit the expected distribution? The null-hypothesis: The [Insert Category Heading] of [Insert Categories] occur at a [Insert Hypothesized Probability] probability in Connecticut.
  • 18. Problem A public opinion poll surveyed a simple random sample of 1000 voters in the blue state of Connecticut. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. Party Affiliation Republican Democrat 320 680 The expectation is that the distribution would be even or 40/60. To what degree does the sample distribution fit the expected distribution? The null-hypothesis: The [Insert Category Heading] of [Insert Categories] occur at a [Insert Hypothesized Probability] probability in Connecticut.
  • 19. Problem A public opinion poll surveyed a simple random sample of 1000 voters in the blue state of Connecticut. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. Party Affiliation Republican Democrat 320 680 The expectation is that the distribution would be even or 40/60. To what degree does the sample distribution fit the expected distribution? The null-hypothesis: The party affiliation of [Insert Categories] occur at a [Insert Hypothesized Probability] probability in Connecticut.
  • 20. Problem A public opinion poll surveyed a simple random sample of 1000 voters in the blue state of Connecticut. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. Party Affiliation Republican Democrat 320 680 The expectation is that the distribution would be even or 40/60. To what degree does the sample distribution fit the expected distribution? The null-hypothesis: The party affiliation of Republican / Democrat occur at a [Insert Hypothesized Probability] probability in Connecticut.
  • 21. Problem A public opinion poll surveyed a simple random sample of 1000 voters in the blue state of Connecticut. Respondents were asked to share their party affiliation (Republican or Democrat) Results are shown in the table below. Party Affiliation Republican Democrat 320 680 The expectation is that the distribution would be even or 40/60. To what degree does the sample distribution fit the expected distribution? The null-hypothesis: The party affiliation of Republican / Democrat occur at a .4/.6 probability in Connecticut.
  • 22. Here is a template:
  • 23. Here is a template: The null-hypothesis: The [Insert Category Heading] of [Insert Categories] occur at a [Insert Hypothesized Probability] probability.