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A question regarding bootstrap confidence intervals. If the hypothesis is comparing two means (e.g. the difference in calorie intake between males and females), should the value 0 be used or the difference in means be used to refer to at the end when we compare it to the 95% confidence interval.

In my instance the difference in mean ($\bar{x_1}$ - $\bar{x_2}$) did not fall in the 95% confidence interval. However ifSuppose the value 0 (since the hypothesis is $\bar{x_1}$ - $\bar{x_2}$ = 0) lies within the 95% confidence interval.

Should we reject the null hypothesis?

A question regarding bootstrap confidence intervals. If the hypothesis is comparing two means (e.g. the difference in calorie intake between males and females), should the value 0 be used or the difference in means be used to refer to at the end when we compare it to the 95% confidence interval.

In my instance the difference in mean ($\bar{x_1}$ - $\bar{x_2}$) did not fall in the 95% confidence interval. However if the value 0 (since the hypothesis is $\bar{x_1}$ - $\bar{x_2}$ = 0) lies within the 95% confidence interval.

Should we reject the null hypothesis?

A question regarding bootstrap confidence intervals. If the hypothesis is comparing two means (e.g. the difference in calorie intake between males and females), should the value 0 be used or the difference in means be used to refer to at the end when we compare it to the 95% confidence interval.

In my instance the difference in mean ($\bar{x_1}$ - $\bar{x_2}$) did not fall in the 95% confidence interval. Suppose the value 0 (since the hypothesis is $\bar{x_1}$ - $\bar{x_2}$ = 0) lies within the 95% confidence interval.

Should we reject the null hypothesis?

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edit approved Oct 26, 2016 at 10:13
Ferdi
edit approved Oct 26, 2016 at 10:13
Ferdi
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A question regarding bootstrap confidence intervals. If the hypothesis is comparing two means (e.g. the difference in calorie intake between males and females), should the value 0 be used or the difference in means be used to refer to at the end when we compare it to the 95% confidence interval. In

In my instance, the difference in mean (xbar1$\bar{x_1}$ - xbar2$\bar{x_2}$) did not fall in within the 95% confidence interval. However, if the value 0 (since the hypothesis is xbar1$\bar{x_1}$ - xbar2$\bar{x_2}$ = 0) lies within the 95% confidence interval, do.

Should we reject the null hypothesis?

A question regarding bootstrap confidence intervals. If the hypothesis is comparing two means (e.g. the difference in calorie intake between males and females), should the value 0 be used or the difference in means be used to refer to at the end when we compare it to the 95% confidence interval. In my instance, the difference in mean (xbar1 - xbar2) did not fall in within the 95% confidence interval. However, if the value 0 (since the hypothesis is xbar1 - xbar2 = 0) lies within the 95% confidence interval, do we reject the null hypothesis?

A question regarding bootstrap confidence intervals. If the hypothesis is comparing two means (e.g. the difference in calorie intake between males and females), should the value 0 be used or the difference in means be used to refer to at the end when we compare it to the 95% confidence interval.

In my instance the difference in mean ($\bar{x_1}$ - $\bar{x_2}$) did not fall in the 95% confidence interval. However if the value 0 (since the hypothesis is $\bar{x_1}$ - $\bar{x_2}$ = 0) lies within the 95% confidence interval.

Should we reject the null hypothesis?

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Aashna Ahuja
Aashna Ahuja
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If the difference in means doesn't fall in the 95% CI but 0 does, what to do?

A question regarding bootstrap confidence intervals. If the hypothesis is comparing two means (e.g. the difference in calorie intake between males and females), should the value 0 be used or the difference in means be used to refer to at the end when we compare it to the 95% confidence interval. In my instance, the difference in mean (xbar1 - xbar2) did not fall in within the 95% confidence interval. However, if the value 0 (since the hypothesis is xbar1 - xbar2 = 0) lies within the 95% confidence interval, do we reject the null hypothesis?