Answer: Demand characteristics.
Explanation:
Demand characteristics are the traits shown by participant of the research and experiment in which they behave according to the expectancy of researcher or experiment so that aim of the research can be accomplished .This creates biasness in research process and decrease validity of the experiment.
According to the question, John's positive reply to the situation where someone need helps if his/her car is broken displays the impact of demand characteristics .In actuality , he would probably not help the person by stopping and he just answered in positive manner to support the study.Thus, the reply is biased.
I believed the answer is:B. <span>patterns of inequality and who has more power
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<span>According to the social-conflict approach things that considered as deviant behaviors are created by the people who have the most power in that society. This approach believe that the condemnation of 'deviant' behavior is their effort to keep their dominant status in the society and maintain the patterns of inequality.</span><span>
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Answer:
content theories; process theories process
Explanation:
Content theory of motivation attempts to investigate gate the factors that bring about or motivate certain behaviors of people Content theory examples can be found in the work of , Abraham Maslow for example and other psychologists.
Process theories of motivation on the other hand explore why behaviors are initiated: all the way from how we choose a target and make moves to achieve it. Operant conditioning is an example of process theory of motivation.
The correct answer is B.
<u>Therefore the appropiate null and alternative hypothesis are the following:</u>
. H 0 : p 1 = p 2
H 1 : p 1 ≠ p 2
The aim of the test would be to conclude whether H0 should be rejected or not at a 10% significance level.
<u>In this case a billateral significance test needs to be conducted,</u> as such a test consists on testing the equality of the test value with a given value. In this case the H0 would be rejected if the test value is significanly different, both in the case that it is superior or inferior.
On the contrary, an unilateral significance test would have been conducted if aiming to check whether a value is superior or equal to the test value (left unilateral) or inferior or equal to this value (right unilateral).
Then, the result of the test is the one stated: rejecting H0 at the 10% significance level.
