The root word of geography is geo, which means the earth.
Answer:
Transportation Industry
Explanation:
Prior to the federal government purchase of lands surrounding the swamp in 1935, for the purpose of conservation and game project. There were organizations that sought to have the construction of a swamp canal across the swamp and as well building a massive highway in the area.
Hence, the Transportation Industry is the industry that threatened the Okefenokee Swamp prior to 1957
Mostly because of the inexperience of the engineers who had been entrusted with the tasks as most of them were professional lawyers. the length of the canal also cast more shadow of doubt on the undertaking besides the lack of sophisticated equipment for the engineering works.
Limits are used for mathematics like landmark numbers but I think since you're talking about social studies landlord would basically be certain spots in the world like the equator
Answer:
Yes
Explanation:
Is it better for a man to work and a woman to stay at home? Women and men were asked this question in the GSS 2010 file. Investigate the relationship between marital status (MARITAL) and responses to this question (Polviews). Have SPSS calculate the Chi-square by clicking on analyze, Descriptive Statistics, and Cross tabs, then on the Statistics button click on chi-square in the upper left corner and then click continue and then okay. Based on your chi-square are the results statistically significant?a. yes
b. noExplain.
A chi square (χ2) statistic is a test that measures how expectations compare to actual observed data (or model results). The data in question used in calculating a chi square statistic must have the following characteristics:
-random,
-raw,
-mutually exclusive,
-drawn from independent variables,
-gotten from a large enough sample
SPSS stands for Statistical Package for Social Sciences, this is used to perform statistical analysis. It is used used by research to analyze data with various tools.
The Chi square is important becuase it can be used to test the hypothesis and see if the expected data is correlating with the actual oberved
