In an attempt to reduce the likelihood of a type ii error, the experimenter proposes to recruit a very large group of participants.
In statistical hypothesis testing, a Type I error is actually an incorrect rejection of the true null hypothesis (a.k.a. a "false positive" result or conclusion; e.g., "Innocent person convicted ing"). Rejection of one actually false null hypothesis (also called a "false negative" result or conclusion, e.g. "guilty party not convicted").
Many statistical theories revolve around minimizing one or both of these errors, but unless the outcome is determined by a known and observable causal process, either of these errors can be completely quantified. It is statistically impossible to eliminate You can improve the quality of the hypothesis test by choosing a lower threshold (cutoff) and changing the alpha (α) level. Knowledge of type I and type II errors is widely used in medicine, biometrics, and computer science.
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Answer by YourHope
B) Loyalists
Most likely supported the actions of british during the boston massacre
:)
Farmland because it would give the soil nutrients
Answer:
They helped so they help rebuild Europe and potentially stop the the spread of communism
Explanation:
The Marshall Plan, also known as the European Recovery Program, was a U.S. program providing aid to Western Europe following the devastation of World War II. It was enacted in 1948 and provided more than $15 billion to help finance rebuilding efforts on the continent
The correct answer to this open question is the following.
Although there are no options included, we can say the following.
A census is a regularly-occurring and official count of a particular population. Census data available at the United States Census Bureau website are an example of data collection public website for statistical purposes.
The US census is taken every ten years to collect information from citizens regarding age, gender, and race. That is why the go directly to your home. This information is important and useful for the United States federal government to forecast scenarios and make decisions regarding demographics and economics.
