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1. The populations that forage have the lowest market integration ratings.

The populations that forage are: Au, Hadza, Tsimane, Yasawa. The MI for them are: 1, 0, 7, 21 respectively.

Yes, since these are the populations that have the lowest MI ratings, as it can be seen increasing further.

Answer Yes.


2. Each of the populations that depend on both farming and wage work is sedentary and has a mean community size among the five largest.

Populations that depend on farming & wage work are: Gusii, Isanga Village, Maragoli. It can be inferred from the table that all these populations are sedentary.
The mean CS of all of the above mentioned populations are: 4063,1500, 3843.

The populations having a mean community size among the five largest are: Gusii, Maragoli, Samburu, Sanquianga & Isanga Village.
Thus, Each of the populations that depend on both farming and wage work is sedentary and has a mean community size among the five largest.

Answer Yes.



3. The range for market integration is less than the range for participation in world religions.
The range for MI= Highest - Lowest => 72 - 0 = 72.
The range for WR = Highest - Lowest => 100- 0 = 100.
So Yes, the range for market integration is less than the range for participation in world religions.

Answer Yes.
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1. look for lower MI that has economic base has foraging
you can find 0 in hadza

YES


2. sedentary : yes in gusii+ maragoli + isnana village
mean community size= means CS= ( only 5 in 4 digit numbers)

YES


3. MI range= 0 to 82
WR range = 0 to 100

YES
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For the question: The range for market integration is less than the range for participation in world religions.

We only know Mean MI and Mean WR. Obviously Mean gives no indication of the individual data-points. Hence, I don't believe we can have any idea about range.

So, how can we conclude that the range for market integration is less than the range for participation in world religions.

KarishmaB and chetan2u, please help.
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mpobisetty
For the question: The range for market integration is less than the range for participation in world religions.

We only know Mean MI and Mean WR. Obviously Mean gives no indication of the individual data-points. Hence, I don't believe we can have any idea about range.

So, how can we conclude that the range for market integration is less than the range for participation in world religions.

KarishmaB and chetan2u, please help.
­If you look at the definition for these terms in the para of the question:-

percentage of population participating in world religions  is (mean WR)

So, it is not mean or average in literal sense, it is the % of population doing a certain thing, and thus it will just be a numeric value giving a certain %.

Thus, we have % for each set of people and you have to find the range of this.
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degree of market integration (mean MI)—defined as the percentage of calories obtained in the marketplace.

How can the percentage of Calories obtained in the marketplace and the percentage of the population be compared like apples to apples?


chetan2u


­If you look at the definition for these terms in the para of the question:-

percentage of population participating in world religions is (mean WR)

So, it is not mean or average in literal sense, it is the % of population doing a certain thing, and thus it will just be a numeric value giving a certain %.

Thus, we have % for each set of people and you have to find the range of this.
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You are not comparing calories with population, you are comparing a statistical data related to them.
You dont require to compare apples with apples when you are comparing costs. It could easily be cost of apples vs cost of oranges.

Here too, you are just comparing the difference in the extreme values of two.
nbharti
degree of market integration (mean MI)—defined as the percentage of calories obtained in the marketplace.

How can the percentage of Calories obtained in the marketplace and the percentage of the population be compared like apples to apples?



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Hi nbharti,

Great instinct to question units, but here the two percentages never actually get mixed together, so there's no apples-to-oranges problem.

Notice what statement 3 actually asks: is the range of Mean MI smaller than the range of Mean WR? It is not claiming a calorie equals a person, or comparing MI directly against WR. It's comparing two spreads - and a spread is just a single number you compute inside one column.

Here's the clean way to see it:

- Mean MI range lives entirely in the MI column: max 82 (Sanquianga) - min 0 (Hadza) = 82.
- Mean WR range lives entirely in the WR column: max 100 - min 0 (Hadza) = 100.

Each range is born from its own column, in its own units. Once you have the two finished numbers, 82 and 100, you're just asking "is 82 less than 100?" - and that's pure arithmetic. No unit ever crosses over.

It also helps that both columns happen to be percentages on a 0-100 scale, so even the raw magnitudes are naturally comparable. But the key point stands even if they weren't.

A quick parallel to lock it in: suppose one column is exam scores (range 40) and another is students' ages (range 12). Scores and ages are totally different things - yet it's perfectly valid to say "the scores are more spread out than the ages," because you're comparing two spread numbers, 40 vs 12, not equating a score with an age.

Therefore, the comparison is legitimate, and the answer to statement 3 is Yes.

Answer: Yes

nbharti
degree of market integration (mean MI)—defined as the percentage of calories obtained in the marketplace.

How can the percentage of Calories obtained in the marketplace and the percentage of the population be compared like apples to apples?



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