If SPSS output tells you that Sig. = .65, this means: a) There is a 65% probability the null hypothesis is true. b) There is a 65% probability you have a statistically significant difference c) There is a 65% probability you can reject the null hypothesis. d) The difference is statistically significant at the 95% confidence level. p= .35

There is a 65% probability the null hypothesis is true.

Step-by-step explanation:

given data

Sig. = .65

solution

The p-value-based rule is that if the p-value is less than or equal to the significance level, we reject the null hypothesis, and if the p-value is greater than the significance level, we fail to reject the null hypothesis.

Now in the given condition, the p-value is = 0.65, and the significance level is 1 - 0.65 = 0.35. Since the p-value is less than or equal to the significance level

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step-by-step explanation:

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