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guddo
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Shreejas
Please explain the solutions


1. Na difference in places with excess salt and places without it is very small, even non-existent in cases - Statistically insignificant changes
2. Error ranges don't overlap hence statistically significant differences
3. Error ranges overlap hence Statistically insignificant changes

Imagine a quantity Q = 100 (with error range 10%) i.e Actual Q = 90 - 100
Another quantity Q2 = 90 ( with error range 20% ) i.e Actual Q2 = 72 - 108

Thus actual values of A and Q2 overlap hence we can't deterministically say they are different values.
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I did not understand the 1st question solution. How is it done ?
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I did not understand the 1st question solution. How is it done ?


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Hi,

Does this set consists of only 1 question?
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I did not understand the question,at all .
It took me long to understand what is being asked in the question , and still confused .
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Can,Will
I did not understand the question,at all .
It took me long to understand what is being asked in the question , and still confused .
What exactly do you not understand?

The question asks about three types of information and asks about each one whether it's statistically significant. This means whether the numbers from the information are large enough or have a large difference so that it would be valuable in the discussion.

Hopefully that helped!
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How can we assume drinking water is underground water ?
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The data that we're interested in is drinking water derived from aquifers (which is where underground water is located). So, all drinking water is not assumed to be from underground.

I hope that helped!
GuiguiECL
How can we assume drinking water is underground water ?
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Hi guddo

Does this MSR set only have a single question, can you please check once?
guddo
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Bismuth83
1. The question asks us whether the information can say that a difference in a quality is statistically significant. The text says that "differences are statistically significant when the experimental error intervals do not intersect".

2. Measured amounts of sodium in drinking water derived from aquifers. The text states that "the levels of extra sodium in the country's aquifers (underground water) are notably lower than the levels of extra chloride, and likely negligible in most locations". That means the difference in the quantity isn't statistically significant.

3. Measured relative eye widths of male monarch butterflies. Looking at the left part of the bar chart, we can say that the intervals do intersect. That means the difference in the quantity isn't statistically significant.



4. Measured relative eye widths of female monarch butterflies. Looking at the right part of the bar chart, we can say that the intervals don't intersect. That means the difference in the quantity is statistically significant.


Attachment:
GraphMonarchEye.jpg
Hi Bismuth83 KarishmaB, could you please explain why does "Measured amounts of sodium in drinking water derived from aquifers" not significant? The 3rd tab, it has been mentioned as one of the reasons.
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Tab 1 states factually that level of extra sodium in underground water due to salting of roads is negligible. Tab 3 is mentioned as a conversation between two ordinary residents, so what they say can only be taken as opinions and need not be factually correct. For all we know he might be ignorant and might not have read/studied about the issue or relevant data, and hence probably giving a flawed reasoning.
SSWTtoKellogg
Bismuth83
1. The question asks us whether the information can say that a difference in a quality is statistically significant. The text says that "differences are statistically significant when the experimental error intervals do not intersect".

2. Measured amounts of sodium in drinking water derived from aquifers. The text states that "the levels of extra sodium in the country's aquifers (underground water) are notably lower than the levels of extra chloride, and likely negligible in most locations". That means the difference in the quantity isn't statistically significant.

3. Measured relative eye widths of male monarch butterflies. Looking at the left part of the bar chart, we can say that the intervals do intersect. That means the difference in the quantity isn't statistically significant.



4. Measured relative eye widths of female monarch butterflies. Looking at the right part of the bar chart, we can say that the intervals don't intersect. That means the difference in the quantity is statistically significant.


Attachment:
GraphMonarchEye.jpg
Hi Bismuth83 KarishmaB, could you please explain why does "Measured amounts of sodium in drinking water derived from aquifers" not significant? The 3rd tab, it has been mentioned as one of the reasons.
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