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Answer:
Internal,global,stable factor
Explanation:
Learned helplessness is a behavior exhibited by a subject after enduring repeated aversive stimuli beyond their ability to control, it can increase a person's risk of depression and can have a profound impact on mental health and well being. For example an individual who perform poorly in an examination might quickly begin to feel that nothing he or she does will have or could had had any effect on their performance.
It is a stimuli that are painful or otherwise unpleasant and become unable or might be unwilling to avoid subsequent encounter with those stimuli;as in the case of the young woman who believes that everything negative that happens to her is her own fault, that she ruins everything
In an Anova study on the impact that various forms of cellphone use have on driving speed, a researcher concludes that there are no systematic treatment effects, the f-ratio was closest to 1.
With the help of the statistical analysis approach known as ANOVA, apparent aggregate variability within a data set is explained by separating systematic components from random factors. Systematic influences, but not random ones, statistically affect the data set that is being presented.
To ascertain whether there are any statistically significant differences between the means of three or more independent (unrelated) groups, the one-way analysis of variance (ANOVA) is utilized.
To evaluate population group differences, statistical procedures like variance tests and the analysis of variance (ANOVA) use sample variance.
Learn more about Anova here
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Answer:
No. It also involves the Bengals province
Explanation:
The migration in 1947 is not limited to the Punjab province.
This is because it also involves the Bengal province whereby the mass migration of over 15 million involves Muslims moving from the eastern part (Bengal province) to the western part (Punjab province) going to Pakistan while the Hindus were leaving the western part (Punjab province) to the eastern path (Bengal province) for India