Null hypothesis for point biserial (conceptual)

Null-hypothesis for a Point Biserial

Conceptual Explanation

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 Point-Biserial Correlation is a value that makes it possible to statistically test the relationship between a dichotomous variable and a continuous variable.


PersonDepressed 1 = not depressed2 = depressed

Amount of Shame

A 1 10

B 1 9

C 1 10

D 2 2

E 2 2



Amount of Shame

A 1 10

B 1 9

C 1 10

D 2 2

E 2 2

either / or



Amount of Shame

A 1 10

B 1 9

C 1 10

D 2 2

E 2 2



Amount of Shame

A 1 10

B 1 9

C 1 10

D 2 2

E 2 2

takes on many values

Here is a template for writing a null-hypothesis for a Point-Biserial Correlation:

Here is a template for writing a null-hypothesis for a Phi-Coefficient:

There is no statistically significant relationship between the [insert variable] and [insert variable].

Example 1

A researcher wishes to determine if a significant relationship exists between height and college graduation rates.

ProblemA researcher wishes to determine if a significant relationship exists between height and college graduation rates.

Template for a Phi-Coefficient Null-HypothesisThere is no statistically significant relationship between the [insert independent variable] and [insert dependent variable].

Null-hypothesis for this ProblemThere is no statistically significant relationship between the [insert independent variable] and [insert dependent variable].


Template for a Phi-Coefficient Null-HypothesisThere is no statistically significant relationship between the [insert variable] and [insert variable].




Null-hypothesis for this ProblemThere is no statistically significant relationship between the [insert variable] and [insert variable].d



Null-hypothesis for this ProblemThere is no statistically significant relationship between the [insert variable] and [insert variable].s



Null-hypothesis for this ProblemThere is no statistically significant relationship between the student height and [insert variable].s



Null-hypothesis for this ProblemThere is no statistically significant relationship between the student height and college graduation rates.s

Null-hypothesis for this ProblemThere is no statistically significant relationship between the student height and college graduation rates.

Example 2

A researcher wishes to determine if a significant relationship exists between head circumference and political affiliation (Democrat vs. Republican).

A researcher wishes to determine if a significant relationship exists between head circumference and political affiliation (Democrat vs. Republican).

vs.

vs.

ProblemA researcher wishes to determine if a significant relationship exists between head circumference and political affiliation (Democrat vs. Republican).

Template for a Phi-Coefficient Null-HypothesisThere is no statistically significant relationship between the [insert independent variable] and [insert dependent variable].




Null-hypothesis for this ProblemThere is no statistically significant relationship between the [insert variable] and [insert variable].s



Null-hypothesis for this ProblemThere is no statistically significant relationship between the head circumference and [insert variable].s



Null-hypothesis for this ProblemThere is no statistically significant relationship between the head circumference and political affiliation.s

Null-hypothesis for this ProblemThere is no statistically significant relationship between the head circumference and political affiliation.

Null hypothesis for point biserial (conceptual)

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