Answer:
Sampling error
Explanation:
This is probably due to sampling error. The sampling error has the likelihood of occuring when the statistician fails to select a sample that could be a representation of the full population. The sample results are not a true representation of the true results from the entire population.
the null hypothesis tells us that no significant difference exists between the populations chosen, and any difference can be as a result of sampling error.
If Ken does not account for variables such as age that could also influence one's ability to recall these events, age could be considered a "confounding variable".
A confounding variable is an outside impact that progressions the impact of a dependent and independent variable. This incidental impact is utilized to impact the result of a experimental plan. Basically, a confounding variable is an additional variable went into the condition that was not represented. confounding variables can demolish an examination and deliver futile outcomes. They propose that there are connections when there truly are definitely not.
Answer:
B. Protestants were slaughtered
Explanation:
I took it on edge
The process of fully taken in or accepting ideas and beliefs
Answer:
D. More People Moved To Cities
Explanation:
The Industrial Revolution allowed more jobs to open up within the city due to the number of factories being created. Many people who moved to cities are allowed more opportunities than when they were in the rural areas.
