Kato: The reason Kato population is being estimated in gross rather than from ethnographic data is that Goddard (1909, p. 67) obtained a list of more than 50 villages which are not available for calculation.

Bear River: Here the lack of information is due simply to the fact that it was not collected. There have been several informants living until recently (see Nomland, 1938).

California Athabascan Groups — Part 120

Lassik: There was at least one good informant living until recently (Essene, 1942), but Merriam worked with her only briefly. Goddard evidently recorded a number of villages from this group, but his notes are lost.

California Athabascan Groups — Part 120

Nongatl: Goddard seems to have worked with at least two informants from this group, but he spent a very brief time in the area and some of his notes may have been lost.

California Athabascan Groups — Part 120

Shelter Cove Sinkyone: Several informants from this group have been alive until recently (see Nomland, 1935). No one saw fit to collect the appropriate data.

It is obvious from this summary that the main reason for our lack of information on these groups is the loss of Goddard's notes. If those were at hand, we would probably have complete information on the Kato, the Lassik, and probably the Nongatl. The absence of data on the Bear River and Shelter Cove Sinkyone is due to the ethnographers' oversight. None of these groups, therefore, seem to have been selected because of their small aboriginal population. If the following estimates are in error because the sample is not a random one, then the error is probably one of underestimate rather than overestimate.

Given the foregoing assumptions, the least squares estimate of the normal regression line may be obtained with the following formula.

P: population. A: area. F: fishing miles.

the estimate of b is (Bennett and Franklin, 1954, p. 224)

=S=(X_{ i} - [=X])(Y_{ i} - [=Y]) [^b] = ------------------------------- =S=(X_{ i} - X)^{ 2}

where X_{ i} = ln A for each group with known population and Y_{ i} = P for each known group.

=S=(X_{ i} - [=X])(Y_{ i} - [=Y]) [^b]' = ------------------------------- =S=(X_{ i} - [=X])^{ 2}

where X_i = ln F for each known group and Y_i = P for each known group. These calculations are shown in table 4.

_Calculation of Regression Lines Shown in Figure 2_

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