## TIE, repeat once more please... [RSABE / ABEL]

Dear Friends!

I'm very sorry for digging this theme once more, but my female logic suffers from trying to get how could the sequence of statements influence the TIE. I suppose the TIE in alternative Elena's approach to be the same as in the standard scheme. Would you be so kind to explain it for one thousand and first time again?

Let A be the statement that CI is in [80,125], B - the statement that CV<30% and C - the statement that CI is [L,U], where L and U are the scaled limits. Then BE statement is

(B∧A)∨(¬B∧C) for standard approach and (A∨(¬A∧(¬B∧C))) for the alternative approach. The non BE statements are (¬A∧B)∨(¬A∧¬C)∨(¬B∧¬C) and (¬A∧B)∨(¬A∧¬C) correspondingly. The only difference is (¬B∧¬C) which is logically equals to (¬A∧¬C) when ¬B is TRUE and zero if ¬B is FALSE.

Testing the data twice is obvious in the alternative sequence, but the second test doesn't suffer from the error on CV_R because the first test A has already done. And in the standard approach we also assess the data twice: first to get CV_R, then to calculate CI. I'm totally lost: my gut feeling says that there should not be difference, TIE is the same in both cases. I read the thread once and once again and still have internal contradictions that I couldn't prove.

Practically: while dealing with scaled approach I program to get CI as well as CV_R in the output at the same time. What I should do - close the left eye not to see that CI is in the [80-125] and only looking for the CV_R by my right eye?

I'm very sorry for digging this theme once more, but my female logic suffers from trying to get how could the sequence of statements influence the TIE. I suppose the TIE in alternative Elena's approach to be the same as in the standard scheme. Would you be so kind to explain it for one thousand and first time again?

Let A be the statement that CI is in [80,125], B - the statement that CV<30% and C - the statement that CI is [L,U], where L and U are the scaled limits. Then BE statement is

(B∧A)∨(¬B∧C) for standard approach and (A∨(¬A∧(¬B∧C))) for the alternative approach. The non BE statements are (¬A∧B)∨(¬A∧¬C)∨(¬B∧¬C) and (¬A∧B)∨(¬A∧¬C) correspondingly. The only difference is (¬B∧¬C) which is logically equals to (¬A∧¬C) when ¬B is TRUE and zero if ¬B is FALSE.

Testing the data twice is obvious in the alternative sequence, but the second test doesn't suffer from the error on CV_R because the first test A has already done. And in the standard approach we also assess the data twice: first to get CV_R, then to calculate CI. I'm totally lost: my gut feeling says that there should not be difference, TIE is the same in both cases. I read the thread once and once again and still have internal contradictions that I couldn't prove.

Practically: while dealing with scaled approach I program to get CI as well as CV_R in the output at the same time. What I should do - close the left eye not to see that CI is in the [80-125] and only looking for the CV_R by my right eye?

—

"Being in minority, even a minority of one, did not make you mad"

"Being in minority, even a minority of one, did not make you mad"

### Complete thread:

- Statistical evaluation and BE hypotheses in full replicate design Elena777 2020-01-28 07:02 [RSABE / ABEL]
- Inflation of the TIE as well Helmut 2020-01-29 15:38
- Inflation of the TIE as well Elena777 2020-01-29 20:01
- Tricky… Helmut 2020-01-30 12:07
- Tricky… Mikalai 2020-01-30 13:08
- Terrible… Helmut 2020-01-30 15:09
- Flawed evaluation accepted Helmut 2020-01-31 12:19
- Flawed evaluation accepted Mikalai 2020-01-31 12:40
- Flawed evaluation accepted Helmut 2020-01-31 14:17
- Flawed evaluation accepted Mikalai 2020-01-31 16:41
- Flawed approach even if accepted ? Helmut 2020-01-31 20:28
- Flawed approach even if accepted ? Mikalai 2020-02-01 16:18
- misunderstanding mittyri 2020-02-01 21:34
- misunderstanding Mikalai 2020-02-06 13:41
- misunderstanding mittyri 2020-02-06 16:23

- misunderstanding Mikalai 2020-02-06 13:41
- The globe is flat! d_labes 2020-02-05 19:16

- misunderstanding mittyri 2020-02-01 21:34

- Flawed approach even if accepted ? Mikalai 2020-02-01 16:18

- Flawed approach even if accepted ? Helmut 2020-01-31 20:28

- Flawed evaluation accepted Mikalai 2020-01-31 16:41

- Flawed evaluation accepted Helmut 2020-01-31 14:17

- Flawed evaluation accepted Mikalai 2020-01-31 12:40

- Tricky… wienui 2020-01-30 18:53
- Tricky… Helmut 2020-01-30 19:18
- Tricky… wienui 2020-02-03 07:10
- ABE vs. ABEL Helmut 2020-02-03 12:25
- zigzag d_labes 2020-02-05 18:53
- zigzag Helmut 2020-02-05 19:46
- zigzag Mikalai 2020-02-06 11:38
- helter-skelter Helmut 2020-02-06 20:12
- helter-skelter Mikalai 2020-02-10 16:10

- helter-skelter Helmut 2020-02-06 20:12

- zigzag Mikalai 2020-02-06 11:38

- zigzag Helmut 2020-02-05 19:46

- zigzag d_labes 2020-02-05 18:53

- ABE vs. ABEL Helmut 2020-02-03 12:25

- Tricky… wienui 2020-02-03 07:10

- Tricky… Helmut 2020-01-30 19:18

- Tricky… Mikalai 2020-01-30 13:08

- Tricky… Helmut 2020-01-30 12:07
- Inflation of the TIE as well zizou 2020-02-01 17:00
- Inflation of the TIE as well nobody 2020-02-01 23:30

- Inflation of the TIE as well Elena777 2020-03-10 19:28
- Fishing in the dark Helmut 2020-03-10 21:06

- Inflation of the TIE as well Elena777 2020-01-29 20:01
- Statistical evaluation and BE hypotheses in full replicate design nobody 2020-02-03 15:07
- TIE, repeat once more please...Astea 2020-04-02 12:41

- Inflation of the TIE as well Helmut 2020-01-29 15:38