91影视

It is given that $95\%$confidence interval for mean body index is$(26.2,27.4)$

From given data, it is incorrect because confidence interval is about BMI of young women, not about BMI of individual women.

The statement is incorrect because it is not confirmed that true population mean is between $26.2\mathrm{and}27.4$.

The mean may or may not lie in confidence interval for further samples.

The statement is incorrect.

The statement is correct because there is $95\%$confidence that population mean lie between $26.2\text{and}27.4$.

The exact value is not known, so it can be any value between $26.2\text{and}27.4$

The statement is correct.

There will be no change in population mean. I will be value between $26.2\text{and}27.4$.

That is, $100\%$or $0\%$of time.

So, the statement is incorrect.

It is incorrect as there are $95\%$of samples has $95\%$confidence interval having true population mean.

So,$(26.2,27.4)$may be among remaining$5\%$samples not having true population mean.