Hello. You forgot to put the image to which the question refers. The image is attached.
Answer and Explanation:
Image A is at rest. We can see this, because the image does not have any elements and no hints that indicate that some type of movement, repositioning, or any other factor that indicates a movement occurs.
Image B, on the other hand, is in motion. This can be perceived by the indication that the objects in the image are "outside", which indicates that these objects are outdoors and can be moved by the wind.
Answer: Jack probably has achieved SELF-ACTUALISATION.
Explanation: Self-actualisation can be defined as achieving a level of psychological development when all basic and mental needs are fulfilled. Self actualisation varies with individuals as it is peculiar as to what an individual is capable of doing.
Self actualisation for Mr A might be becoming a President of a country while for Mr B might be becoming a great athlete.
Answer:yes we won american revolution and we got freedom. except switzerland it was free from the dawn of time
Explanation:
Answer: slaves owners don't want the slaves to gather in groups or own weapons because they can make plans from hurting the slave owners. That is why slave owners hired overseers so they can help the slave owner just in case that happens
Explanation:
A statistically significant result indicates that your findings are not likely due to chancea statistically significant result indicates that your findings are not likely due to chance.this is a true statement.
Statistical significance provides a cut-off value for determining whether a sample's results and observable effects are primarily due to screening and accurately represent the characteristics of the study population.This significance threshold is often 0.05-5%, regardless of the need for documentation. This is because the implications of our findings recognize the importance of both Type I and Type II errors. When we say that a result is "statistically significant", we mean it is statistically significantly different from 0.
There is usually a null hypothesis that the parameter is equal to zero. Through statistical analysis, tests can be performed to prove that such parameters are statistically significantly different from zero. Therefore, you should know that this value is statistically significantly different from 0 when viewed in text.
Learn more about statistical significance here:
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