Question

# Which of the following statements is true if when using null hypothesis testing, our p value...

Which of the following statements is true if when using null hypothesis testing, our p value (in the “sig” column of SPSS output) is 0.063?

 Fail to reject the null hypothesis Reject the null hypothesis Cannot determine with the information provided

What graph type is most appropriate for a Chi Square Test of Independence?

 line chart box plot bar graph (# cases or count with no error bars) clustered bar graph (# cases or count with no error bars)

Which of the following statements is true if when using null hypothesis testing, our p value (in the “sig” column of SPSS output) is 0.048?

 Reject the null hypothesis Fail to reject the null hypothesis Cannot determine with the information provided

You can lower the likelihood of making a Type I error by:

 raising the alpha level to 0.10 lowering the alpha level to 0.01 having two statisticians interpret the SPSS output none of these options would help

Solution:-

1) (a) Fail to reject the null hypothesis.

Interpret results. Since the P-value (0.063) is greater than the significance level (0.05), we cannot reject the null hypothesis.

2) (d) clustered bar graph (# cases or count with no error bars)

3) (a) Reject the null hypothesis.

Interpret results. Since the P-value (0.048) is less than the significance level (0.05), we have to reject the null hypothesis.

4) (b) lowering the alpha level to 0.01.

The probability of making a type I error is represented by our alpha level (α), which is the p-value below which you reject the null hypothesis. If we decrease the alpha level, in result the likelihood of making a Type I error will also decrease.