Political scientists have generally found that justices' decisions are most closely tied to<u> </u><u>their political ideologies.</u>
It is a frequent misconception that Supreme Court justices' voting decisions primarily reflect their beliefs, principles, or personal policy preferences.
However, this supposition has never been sufficiently verified using objective assessments of the ideological beliefs of the justices, that is, assessments that are not based on their votes on the Court.
We derive independent and trustworthy measures of the values of every Supreme Court justice from Earl Warren to Anthony Kennedy using content analytic approaches.
The attitudinal paradigm is firmly supported by the close correlation between these values and the justices' votes.
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Pros: emergency use, able to use calculator, notes, internet, etc.., and for socializing with people (can be both good and bad)
Cons: distractions, lost/stolen, could be used in a way to bully ppl buy recording or taking pics and posting them on social media
Answer:
A lifestyle that can improve your quality of life is definitely C. Managing stress effectively
Explanation:
When it comes to lifestyle practices that can improve your quality of life, it is important to bear in mind that healthy practices are in urgent need. Eating healthy is highly recommended, a diet high in cholesterol is a bad choice because of your heart’s and many other consequences. Going to parties everyday just will make feel exhausted and living alone is a way of isolation, it is better to share some of your time with family and friends. So managing stress it is TOO important in having a healthy lifestyle.
I have no clue , look it up on Socratic
Answer:
inferential statistics
Explanation:
Inferential statistics analyzes a small group from a population and the results of this analysis is used the base to infer qualities of the entire population.
Here, only a group of 500 women are selected from the entire population of the country and from the 500 women selected only 155 responded. From this analysis the percentage of all the women in the age group that have regularly scheduled mammograms is inferred.