The two priests had agreed not to tell anyone that the king had been murdered.
Answer:
Negative interactions have a greater impact on women because they place more importance on social relationships than men.
Explanation:
This is the explanation that is consistent with these findings. In this study, we see that women ages 51-64 are greatly affected in terms of health if they have to deal with negative social interactions. However, this is not the case with men. A theory that is consistent with these findings would have to present an argument that fits the results of the experiment. A possible explanation of this situation is that negative interactions have a greater impact on women because they place more importance on social relationships than men.
Maturation is a threat to internal validity stemming from either long-term or short-term physiological changes occurring within the participants that may influence the dependent variable.
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What are physiological changes?</h3>
Ageing causes physiological changes in all organ systems. Arteriosclerosis develops, blood pressure rises, and cardiac output declines. Lung function is compromised, vital capacity is reduced, and expiratory flow rates are slowed.
Pregnancy causes a number of physiological changes in the mother, such as an increase in fat and total body water, a drop in plasma protein concentrations, particularly albumin, an increase in blood volume, cardiac output, and blood flow to the kidneys, and a decrease in blood pressure.
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Answer:
rapid and significant human changes.
Explanation:
The movements of people from rural to urban areas has accelerated, and the growth of cities in the developing world especially is linked to substandard living for many. Family disruption and social and domestic violence are increasing.
In the exponential smoothing approach, an exponentially smaller weight is applied to each demand that occurred farther back in time.
Exponential smoothing is a statistic forecasting method for univariate data that may be extended to support data with a scientific trend or seasonal component.
Exponential smoothing is a rule of thumb technique for smoothing statistic data using the exponential window function. It is a strong forecasting method.
A widely preferred class of statistical techniques and procedures for discrete statistic data, exponential smoothing is employed to forecast the immediate future.
This method supports statistic data with seasonal components, or say, systematic trends where it used past observations to create anticipations.
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