tamara analyzes data from 300 randomly selected school children throughout the state of wisconsin and finds…

tamara analyzes data from 300 randomly selected school children throughout the state of wisconsin and finds that children from families with high income are more likely to receive extra help from teachers than children from families with low income. when asked by a reporter, tamara claims that her findings actually describe the entire population of school children in wisconsin. this is an example of a____. \n○ hypothesis\n○ causal inference\n○ generalization\n○ data display

tamara analyzes data from 300 randomly selected school children throughout the state of wisconsin and finds that children from families with high income are more likely to receive extra help from teachers than children from families with low income. when asked by a reporter, tamara claims that her findings actually describe the entire population of school children in wisconsin. this is an example of a____. \n○ hypothesis\n○ causal inference\n○ generalization\n○ data display

Answer

Answer:

C. generalization

Brief Explanations:

Tamara uses data from a sample (300 children) to make a claim about the entire population of school - children in Wisconsin, which is generalization. A hypothesis is a proposed explanation before data collection. Causal inference is about determining cause - effect relationships. Data display is about presenting data visually, none of which fit here.