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

u dumb boi

step-by-step explanation:

0.16 or 16%

step-by-step explanation:

lets take a coin for example.

if you toss it twice, it has a 1/4 chance of landing on heads both times because 1/2 * 1/2 is 1/4.

with the cards, the chance of picking dog is 0.4. having two people pick one is like picking a card twice in a row. so 0.4 * 0.4 is 0.16, or 16%