Answer:
Quota sampling
Explanation:
Quota sampling: It gathers representative data from a particular group of people. In this sampling method, the data is being chosen from a particular sub-group of a population. This is considered to be more reliable as compared to other non-probability sampling methods such as snowball sampling.
Example: A researcher can take 200 males participants between the age of 18-25.
In the given question, the graph represents the quota sampling method.
**It caused conflicts between religious and ethnic groups**
That is your answer
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The answer is <u>"c. a confounding variable is an explanatory variable that was considered in a study whose effect cannot be distinguished from a second explanatory variable in the study."</u>
A confounding variable is an outside impact that progressions the impact of a dependent and independent variable. This superfluous impact is utilized to impact the result of an exploratory plan. Just, a confounding variable is an additional variable went into the condition that was not represented. Confounding variables can destroy an analysis and deliver pointless outcomes. They propose that there are connections when there truly are most certainly not. In an examination, the independent variable by and large affects the dependent variable.
customer service skills .
They work with people either in phone or directly with them as costumers. Hence, working with people will be the answer
Answer:
The level of contrast between lip color and skin tone does not affect how feminine a face is considered.
Explanation:
From the excerpt:
‘A graduate student believes that people consider faces with more contrast between lip color and skin tone as more feminine’ . This is considered as a null and alternative hypotheses.
This is because there is no relationship between how feminine a face is considered to level of contrast between lip color and skin tone and zero effects.