Questions are to be framed according to the variance in the given data.
Explanation:
<u>Q1: Why there is no data available for Illinois?</u>
The answer is rather simple in that the state of Illinois did not exist in 1810
<u>Q2: What is the reason of rapid increase in the population in all the states.</u>
States like Ohio saw a massive population boom in the first few decades of the century, primarily due to expansion.
<u>Q3: How come all three states grew in population at a similar rate throughout?</u>
Very similar methods of expansion and population growth must be responsible for these numbers. The socio economic strata being similar also plays a role here.
Answer:
From a statistical point of view, participants do not have enough information. To extrapolate statistical data, at least 30 subjects should be observed to make an inference, considering the traditional quantitative analysis and using the central limit theorem.
Explanation:
The central limit theorem, indicates that, in very general conditions, if Sn is the sum of n random independent variables and of not null but finite variance, then the function of distribution of Sn approximates to a normal distribution or Gauss distribution, therefore, the number of variables is quite enough in size to establish that the sample shares “normally” a characteristic such as “being obese” in the example referred regarding the tribe on the pacific island.
Answer: a stronger Federal government
Explanation:
