Ebooki / SGT-Volume1
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SEARLTM GLOBAL TECHNOLOGIES – MATHS – STATISTICS: |
DOC-M1-1-170. |
Searl: knowledge 1946-1968: Legal: SEARL NO: 013787346: Legal: SEARLE NO: 013787451 – Beware!
More equipment collected from
customs from China. Well done China
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SEARLTM GLOBAL TECHNOLOGIES – MATHS – STATISTICS: |
DOC-M1-1-171. |
Searl: knowledge 1946-1968: Legal: SEARL NO: 013787346: Legal: SEARLE NO: 013787451 – Beware!
of each sample. Searl say the results from the two machines are as follows:
QUARTILES:
The semi-inter quartile range or quartile deviation:
Page 171©
SEARLTM GLOBAL TECHNOLOGIES – MATHS – STATISTICS: |
DOC-M1-1-172. |
Searl: knowledge 1946-1968: Legal: SEARL NO: 013787346: Legal: SEARLE NO: 013787451 – Beware!
STANDARD DEVIATION:
The standard deviation is a much more useful measure of
Dispersion than quartiles, for two main reasons:
What will be will be? But alas it may not be what you wanted – heavy floods, water shortage. Do we today want that type of life, where there a solution to those problems – solution work hard and clean up the mess that you made first.
Page 172©
SEARLTM GLOBAL TECHNOLOGIES – MATHS – STATISTICS: |
DOC-M1-1-173. |
Searl: knowledge 1946-1968: Legal: SEARL NO: 013787346: Legal: SEARLE NO: 013787451 – Beware!
Variable |
|
Frequency |
Deviation |
|
|
Value |
Frequency |
x variable |
from mean |
∫xd2 |
|
(x) |
(∫) |
(∫x) |
(d) |
d x ∫ |
|
=================================================
$40 |
10 |
400 |
15 |
150 |
2250 |
$45 |
15 |
675 |
10 |
150 |
1500 |
$50 |
25 |
1250 |
5 |
125 |
625 |
$55 |
30 |
1650 |
|
|
|
$60 |
28 |
1680 |
5 |
140 |
700 |
$65 |
13 |
845 |
10 |
130 |
1300 |
$70 |
9 |
630 |
15 |
135 |
2025 |
================================================
130 7130 8400
Searl believes that you can buy any of these old flying machines, just think of powering one by the S.E.G. for show days. No fuel cost, what a show you could do. See what the S.E.G can do.
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SEARLTM GLOBAL TECHNOLOGIES – MATHS – STATISTICS: |
DOC-M1-1-174. |
Searl: knowledge 1946-1968: Legal: SEARL NO: 013787346: Legal: SEARLE NO: 013787451 – Beware!
Searl believes that all these old aircraft could be made to fly all electric power. Not burning any fuel. We will never know unless we first try. You can’t ride 2 wheels you were wrong we can because someone tried.
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SEARLTM GLOBAL TECHNOLOGIES – MATHS – STATISTICS: |
DOC-M1-1-175. |
Searl: knowledge 1946-1968: Legal: SEARL NO: 013787346: Legal: SEARLE NO: 013787451 – Beware!
••• • |
• • / ••• – – – • |
– • / |
|
••• |
• •• / ••• |
•• / • |
• •// |
There are cars which need good electric motors and the S.E.G. to power them.
Save money don’t burn fuel.
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SEARLTM GLOBAL TECHNOLOGIES – MATHS – STATISTICS: |
DOC-M1-1-176. |
Searl: knowledge 1946-1968: Legal: SEARL NO: 013787346: Legal: SEARLE NO: 013787451 – Beware!
Searl states that in a normal distribution there are proportionately as many negative phenomena as there are positive phenomena. Searl say that in other words, the value of y (the frequency) is the same for + x and for x and therefore the height of the curve, at equal distances on either side of the mean, is the
same. Searl say that (more correctly, the normal curve is symmetrical about the ordinate x = 0). Searl points out that the curve extends indefinitely in both directions. Searl say that if the mean (µ) and the standard deviation (σ) of a distribution are known, the height of the curve (y) can be calculated, as can the area under the normal curve. Searl say that it is fortunately, the area under the curve has already been computed and may be found in normal probability tables, as Searl shows here:
••• • |
• •/ |
••• |
••/ • • // |
These images shown here could be power on the S.E.G. costing no fuel as you would not be burning fuel but riding on a magnetic wave. There is nothing impossible except that your mind makes it so.
Area under the normal curve. Searl would have coloured each column in a different colour but that would had taken Searl time to do. Cars could operate upon a magnetic wave if you are determined to make them, as Searl has stated so often on the air. It is your demand that creates tomorrow’s technology.
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SEARLTM GLOBAL TECHNOLOGIES – MATHS – STATISTICS: |
DOC-M1-1-177. |
Searl: knowledge 1946-1968: Legal: SEARL NO: 013787346: Legal: SEARLE NO: 013787451 – Beware!
Searl say if you want to find the area up to 2.63: Just find the row starting with 2.6 and the column headed 0.03 Searl say you will find the corresponding entry is 9957, representing an area of 0.9957 or 99.57%. Searl warns you that he will be releasing tables simply in concept, as shown here upon his work which are not available in any other books, which some have already been enter in this document.
Searl say to find the area up to – 1.93: Searl say find the entry for 1.93, = 09732 and subtract from one = 1
–0.9732 = 0.0268. Searl say let’s add to those another sample to help those who wish to learn: To find the 5% points for a two-tail test: Searl would understand that the area in each tail is 2.5% = 0.0250, so the area up to the positive critical value is 1 – 0.0250 = 0.9750. Searl say look up 9750 in the body of the table
–this occurs under the entry 1.96. The 5% points are – 1.96 and 1.96.
Searl say that if any frequency conforms to a normal distribution pattern, the area under the curve is always divided into certain proportions and, by knowing the standard deviation; it is easy to estimate this proportion (or probability, as the area under the curve equals one). Searl understand that there are some of you who do not understand terms which Searl actually use, therefore, Searl will drop one or two within this document so to help you to understand Searl. Here are just two samples for now: Acceptance region: The region of the sampling distribution in which the sample statistic value has to fail for the null hypothesis to be accepted (significance tests). The next one is: Addition law: the law of probability relating to the disjunction of two or more events: P(A or B) = P(A) + P(B) – P(A and B).
Searl say that below is a list of the percentage area under the curve occupied by a given standard deviation either side of the mean.
1.00 |
standard deviations = 68.26% of the area: |
|
1.64 |
standard deviations = 90% |
of the area: |
1.96 |
standard deviations = 95% |
of the area: |
2.58 |
standard deviations = 99% |
of the area: |
3.00 |
standard deviations = 99.75% of the area: |
|
Searl points out that it should be noted that the normal tables give the area under the curve up to the standard deviation in the positive direction, but Searl say that since the curve is symmetrical the value will be the same beyond the standard deviation in the negative direction (see Figure P10s).
Figure P10S: The normal distribution curve: Page 177©
SEARLTM GLOBAL TECHNOLOGIES – MATHS – STATISTICS: |
DOC-M1-1-178. |
Searl: knowledge 1946-1968: Legal: SEARL NO: 013787346: Legal: SEARLE NO: 013787451 – Beware!
Searl say that Figure P11S, and from tables, two standard deviations above the mean occupy 0.9772 or
97.72%. Therefore, values greater than 23.00 can be expected in 1-0.9772 = 0.0228 (2.28%) occasions. Searl states that equally, the probability of getting a result smaller than 17.0 is also 0.0228, and therefore the probability of getting a result outside the limits 20 ± 3 is 0.0228 x 2 = 0.0456.
Figure P11S: The normal curve for µ = 20 and σ = 1.5:
We are here to try to clean up the pollution which you have and still doing. Someone must make a massive move to clean up this up, or we shall all end up in the same place, a hole in the ground sooner than later, more sooner than later.
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SEARLTM GLOBAL TECHNOLOGIES – MATHS – STATISTICS: |
DOC-M1-1-179. |
Searl: knowledge 1946-1968: Legal: SEARL NO: 013787346: Legal: SEARLE NO: 013787451 – Beware!
Let all things move by electric.
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