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agony    音标拼音: ['ægəni]
n. 苦恼,痛苦,剧痛,阵痛,极度的痛苦

苦恼,痛苦,剧痛,阵痛,极度的痛苦

agony
n 1: intense feelings of suffering; acute mental or physical
pain; "an agony of doubt"; "the torments of the damned"
[synonym: {agony}, {torment}, {torture}]
2: a state of acute pain [synonym: {agony}, {suffering},
{excruciation}]

Agony \Ag"o*ny\, n.; pl. {Agonies}. [L. agonia, Gr. ?, orig. a
contest, fr. ?: cf. F. agonie. See {Agon}.]
1. Violent contest or striving.
[1913 Webster]

The world is convulsed by the agonies of great
nations. --Macaulay.
[1913 Webster]

2. Pain so extreme as to cause writhing or contortions of the
body, similar to those made in the athletic contests in
Greece; and hence, extreme pain of mind or body; anguish;
paroxysm of grief; specifically, the sufferings of Christ
in the garden of Gethsemane.
[1913 Webster]

Being in an agony he prayed more earnestly. --Luke
xxii. 44.
[1913 Webster]

3. Paroxysm of joy; keen emotion.
[1913 Webster]

With cries and agonies of wild delight. --Pope.
[1913 Webster]

4. The last struggle of life; death struggle.
[1913 Webster]

Syn: Anguish; torment; throe; distress; pangs; suffering.

Usage: {Agony}, {Anguish}, {Pang}. These words agree in
expressing extreme pain of body or mind. Agony denotes
acute and permanent pain, usually of the whole
system., and often producing contortions. Anguish
denotes severe pressure, and, considered as bodily
suffering, is more commonly local (as anguish of a
wound), thus differing from agony. A pang is a
paroxysm of excruciating pain. It is severe and
transient. The agonies or pangs of remorse; the
anguish of a wounded conscience. "Oh, sharp convulsive
pangs of agonizing pride!" --Dryden.
[1913 Webster]

72 Moby Thesaurus words for "agony":
aching heart, affliction, agonizingness, agony of mind, anguish,
atrocious pain, bale, bitterness, bleeding heart, broken heart,
care, carking care, crucifixion, crushing, death agonies,
death groan, death rattle, death struggle, death throes, deathbed,
deathwatch, depression, depth of misery, desolateness, desolation,
despair, distress, dolor, dying breath, excruciatingness,
excruciation, extremity, final extremity, grief, heartache,
heartbreak, heartfelt grief, heartgrief, heartsickness,
heavy heart, infelicity, lamentation, languishment, last agony,
last breath, last gasp, martyrdom, martyrization, melancholia,
melancholy, misery, moribundity, pain, pangs, passion, pining,
prostration, rack, sadness, sorrow, sorrowing, suffering,
suicidal despair, throes, throes of death, torment, tormentingness,
torture, torturousness, trouble, woe, wretchedness


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英文字典中文字典相关资料:


  • What are Type 1 and Type 2 Errors in Statistics? - Simply Psychology
    A Type I error occurs when a true null hypothesis is incorrectly rejected (false positive) A Type II error happens when a false null hypothesis isn't rejected (false negative)
  • Type I and Type II Errors - GeeksforGeeks
    Type I and Type II Errors are central for hypothesis testing, False discovery refers to a Type I error where a true Null Hypothesis is incorrectly rejected On the other end of the spectrum, Type II errors occur when a true null hypothesis fails to get rejected
  • Type I and type II errors - Wikipedia
    Type I error, or a false positive, is the incorrect rejection of a true null hypothesis in statistical hypothesis testing A type II error, or a false negative, is the incorrect failure to reject a false null hypothesis [1]
  • Introduction to Type I and Type II errors - Khan Academy
    A type 1 error occurs when you wrongly reject the null hypothesis (i e you think you found a significant effect when there really isn't one) A type 2 error occurs when you wrongly fail to reject the null hypothesis (i e you miss a significant effect that is really there)
  • Types I Type II Errors in Hypothesis Testing - Statistics by Jim
    In hypothesis testing, a Type I error is a false positive while a Type II error is a false negative In this blog post, you will learn about these two types of errors, their causes, and how to manage them
  • Difference Between Type I and Type II Errors
    Type I error is an error that takes place when the outcome is a rejection of null hypothesis which is, in fact, true Type II error occurs when the sample results in the acceptance of null hypothesis, which is actually false
  • Understanding Statistical Error Types (Type I vs. Type II)
    Two types of errors could happen: Type I and Type II errors A Type I error is where we have a false positive conclusion, while a Type II error is when we have a false negative conclusion
  • Type I Type II Errors | Differences, Examples, Visualizations
    Type I Type II Errors | Differences, Examples, Visualizations Published on January 18, 2021 by Pritha Bhandari Revised on June 22, 2023 In statistics, a Type I error is a false positive conclusion, while a Type II error is a false negative conclusion
  • Type I Error and Type II Error: 10 Differences, Examples - Microbe Notes
    It is possible to reduce type 1 error at a fixed size of the sample; however, while doing so, the probability of type II error increases There is a trade-off between the two errors where decreasing the probability of one error increases the probability of another
  • Beyond Significance: A Guide to Type I and Type II Errors
    In a clinical setting, a Type I error might mean prescribing an ineffective treatment, potentially wasting resources or risking patient well-being A Type II error, on the other hand, might mean missing out on a beneficial treatment that could help patients





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