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  • ¿µ¹®
    ÇѱÛ
  • hypothesis
    °¡¼³
  • lattice hypothesis
    °ÝÀÚ°¡¼³
  • null hypothesis
    ¿µ°¡¼³, ±Í¹«°¡¼³
  • unitarian hypothesis
    Ç×üµ¿Àϰ¡¼³
  • statistical analysis
    Åë°èºÐ¼®
  • statistical constant
    Åë°è»ó¼ö
  • statistical error
    Åë°è¿ÀÂ÷
  • statistical inference
    Åë°èÃ߸®
  • statistical model
    Åë°è¸ðÇü
  • statistical significance
    Åë°èÀ¯ÀǼº
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  • ¿µ¹®
    ÇѱÛ
  • statistical analysis
    Åë°èºÐ¼®
  • hypothesis
    °¡¼³
  • null hypothesis
    ±Í¹«°¡¼³, ¿µ°¡¼³
  • statistical test
    Åë°è°ËÁ¤
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  • ¿µ¹®
    ÇѱÛ
  • statistical analysis
    Åë°èºÐ¼®
  • statistical constant
    Åë°è»ó¼ö
  • statistical error
    Åë°è¿ÀÂ÷
  • statistical inference
    Åë°èÃ߸®
  • statistical model
    Åë°è¸ðÇü
  • statistical significance
    Åë°èÀ¯ÀǼº
  • statistical test
    Åë°è°ËÁ¤
  • blending hypothesis
    À¶ÇÕÀ¯Àü¼³
  • central plasticity hypothesis
    ÁßÃßÀ¯¿¬¼º°¡¼³
  • countercurrent hypothesis
    ¿ª·ù°¡¼³
  • drift hypothesis
    À̵¿°¡¼³
  • dual recognition hypothesis
    Ç׿øÀÌÁßÀÎÁö°¡¼³
  • estrogen window hypothesis
    ¿¡½ºÆ®·Î°Õâ°¡¼³
  • expectation hypothesis
    ¿¹Ãø°¡¼³
  • hypothesis
    °¡¼³
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  • ¿µ¹®
    ÇѱÛ
  • DSM-I=Diagnostic and Statistical Manual of Mental Disorders-I
    Á¤½ÅÀå¾Ö(º´)Áø´ÜÅë°èÆí¶÷ Á¦ 1ÆÇ
  • Glucostatic hypothesis, of appetite regulation
    Ç×´ç±â¼³(ù÷ÓØÐñæò), ½Ä¿åÁ¶Àý(ãÝé¯ðàï½)
  • Lyon s hypothesis
    ¶óÀ̿°¡¼³.
  • Starling s hypothesis
    ½ºÅ¸¾Ë¸µ°¡¼³.
  • hypothesis, lattice
    °ÝÀÚ¼³
  • receptor hypothesis
    ¼ö¿ëü°¡¼³
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  • ¿µ¹®
    ÇѱÛ
  • cartogram =statistical map
    Åë°èµµ(̬˭ËÀ), Áöµµ(̤ËÀ).
  • statistical analysis
    Åë°èÀû ºÐ¼®(Ì¬Ë­Ëø ËÓËÛ).
  • statistical analysis
    Åë°èÀû ºÐ¼®
  • statistical constant
    Åë°è»ó¼ö(̬˭Ë×Ëà).
  • statistical control technique
    Åë°èÀû Á¶Á¤¹ý
  • statistical method
    Åë°èÀû ¹æ¹ý(ÊÙËÑËÑ).
  • statistical significance
    Åë°èÇÐÀû À¯ÀǼº(Ì¬Ë­Ì°ËøËôËôËÛ).
  • statistical survey
    Åë°èÇÐÀû Á¶»ç(ÊÙÌ¡Ë×).
  • atherosclerosis,monoclonal hypothesis
    ´ÜÀÏŬ·Ð¼º°¡¼³(Ó¤ìé¡­Ê£àã)
  • atherosclerosis,reaction to injury hypothesis
    ¼Õ»ó¿¡ ´ëÇÑ ¹ÝÀÀ±âÀü
  • atomic hypothesis
    ¿øÀÚ°¡¼³(ê«í­Ê£æò).
  • blending hypothesis
    À¶ÇÕÀ¯Àü¼³(¡­ë¶îîæò).
  • countercurrent hypothesis
    ¿ª·ù°¡¼³ (¡­Ê£æò).
  • cyclol hypothesis
    »çÀÌŬ·Ñ ´ÜÀ§°¡¼³(¡­Ó¤êÈÊ£æò).
  • dopamine hypothesis
    µµÆÄ¹Î °¡¼³
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  • ¿µ¹®
    ÇѱÛ
  • Kuhn statistical length
    Äï Åë°èÀû(÷ÖͪîÜ)±æÀÌ
  • statistical error
    ·£´ý ºØ±«¿ÀÂ÷(ÝÚÎÕè¦ó¬)
  • statistical segment
    ¾î¸²ºÐÀý(ÝÂï½)
  • acetate hypothesis
    ¾Æ¼¼Æ®»ê(ß«) ¼³(àã)
  • adapter hypothesis
    ¾Æ´äÅͼ³(àã)
  • adenylate charge hypothesis
    ¾Æµ¥´Ò»ê(ß«)´ëÀü¼³(Óáï³àã)
  • adenylate control hypothesis
    ¾Æµ¥´Ò»ê(ß«)Á¶Àý¼³(ðàï½àã)
  • Akabori hypothesis
    ¾ÆÄ«º¸¸®¼³(àã)
  • autocrine hypothesis
    ÀÚ°¡ºÐºñ¼³ (í»Ê«ÝÂÝôàã)
  • Belling's hypothesis
    º§¸µ¼³(àã)
  • biochemical coupling hypothesis
    »ýÈ­ÇÐÀû(ßæûùùÊîÜ) ¦ÁöÀ½¼³(àã)
  • biochemical deletion hypothesis
    »ýÈ­ÇÐÀû(ßæûùùÊîÜ)°á½Ç¼³(ÌÀã÷àã)
  • biogenic amine hypothesis
    »ýü(ßæô÷)¾Æ¹Î¼³(àã)
  • bookmark hypothesis
    ¼­Ç¥¼³(ßöøöàã)
  • catabolic deletion hypothesis
    ÀÌÈ­´ë»çÀû °á¼Õ¼³(ì¶ûùÓÛÞóîÜ ÌÀáßàâ)
KI ÀÇÇпë¾î »çÀü °Ë»ö À¯»ç °Ë»ö °á°ú : 2 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
  • hypothesis
    °¡¼³
  • statistical analysis
    Åë°èÀûºÐ¼®
KMLE ÀÇÇоà¾î »çÀü À¯»ç °Ë»ö °á°ú : 5 ÆäÀÌÁö: 1
H0 null hypothesis
H1 alternative hypothesis
LNH large number hypothesis
TRH tension-reducing hypothesis; thyrotropin-releasing hormone
DSM Diagnostic & Statistical Manual
KMLE ÀÚµ¿ÃßÃâ ÀÇÇоà¾î »çÀü À¯»ç °Ë»ö °á°ú : 5 ÆäÀÌÁö: 1
(3)H hypothesis that
DSM Diagnostic and Statistical Manual
DSM III-R Diagnostic and Statistical Manual of Mental Disorders Third Edition Revised
MSA Metropolitan Statistical Area
SMSA Standard Metropolitan Statistical Area
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  • ¿µ¹®
    ÇѱÛ
    ¼³¸í
  • statistic :

    statistical analysis

    Åë°èÀû ºÐ¼®
  • statistical method
    Åë°èÀû ¹æ¹ý
  • statistical surrey
    Åë°èÇÐÀû Á¶»ç
  • altered-self hypothesis
    º¯È­ÇÑ ÀÚ±â Ç׿ø °¡¼³
    T-B Çùµ¿ÀÛ¿ëÀ̳ª Killer T ¼¼Æ÷ÀÇ Ç¥Àû¼¼Æ÷ÀÇ ÀÎ½Ä ±â±¸¿¡ À־ ¸²ÇÁ±¸´Â ¹ÝÀÀÇÏ´Â »ó´ëÀÇ ±¸Á¶·Î¼­ ºñÀÚ±âÀÎ Ç׿ø°ú ÀÚ±âÀÎ MHCÀÇ ¾çÂÊÀ» ÀνÄÇϰí ÀÖ´Ù. ÀÌ °æ¿ì »ý°¢ÇÏ´Â ¹æ½Ä¿¡ µÎ °³ÀÇ ¹æ½ÄÀÌ ÀÖÀ¸¸ç ºñÀÚ±â¿Í ÀڱⰡ ÇϳªÀÇ °ÍÀ¸·Î¼­ ÇÑ Á¾·ùÀÇ ¼ö¿ëü¿¡ ÀÇÇÏ¿© ÀÎ½ÄµÈ´Ù°í »ý°¢ÇÏ´Â °ÍÀÌ º¯È­ÇÑ ÀÚ°¡ Ç׿ø °¡¼³ÀÇ »ý°¢ ¹æ½ÄÀÌ´Ù.
  • convergence-projection hypothesis
    ÆøÁÖ Åõ»ç °¡¼³
  • dual recognition hypothesis
    2Áß Àνļ³
    ¸é¿ª ¼¼Æ÷ »çÀÌÀÇ »óÈ£ ÀÛ¿ë¿¡ À־ÀÇ T ¼¼Æ÷ÀÇ ÀÎ½Ä ±â±¸¿¡ °üÇÑ °¡¼³ÀÇ Çϳª. T ¼¼Æ÷¿¡´Â ÀÚ±âÀÇ MHC ºÐÀÚ¸¦ ÀνÄÇϱâ À§ÇÑ ¼ö¿ëü¿Í ´Ù¸¥ °ÍÀ» ÀνÄÇϱâ À§ÇÑ ¼ö¿ëü°¡ °¢°¢ µ¶¸³ÇÏ¿© Á¸ÀçÇÑ´Ù°í ÇÏ´Â »ý°¢.
  • hypothesis
    °¡¼³
    ¸î °¡ÁöÀÇ Çö»óÀ» ¼³¸íÇÒ ¼ö ÀÖÀ¸¸ç Ãß·ÐÀ̳ª ½ÇÇèÀ» ±âÃÊ·Î ÇÏ¿© °¡Á¤µÈ ÃßÃø.
  • Starling's hypothesis
    ½ºÅ»¸µÀÇ °¡¼³
  • unitarian hypothesis
    Ç×ü µ¿Àϼ³
CancerWEB ¿µ¿µ ÀÇÇлçÀü ¸ÂÃã °Ë»ö °á°ú : 1 ÆäÀÌÁö: 1
Neyman-Pearson statistical hypothesis A formal conjecture about the numerical value of a parameter to be tested exclusively in the light of an immediate set of data without attention to prior knowledge or convictions and ignoring other sets of evidence treated in a similar fashion. The answer is a statement not about whether the hypothesis is true but whether it is an acceptable explanation of the data or should be rejected in favour of another hypothesis.
(05 Mar 2000)
CancerWEB ¿µ¿µ ÀÇÇлçÀü À¯»ç °Ë»ö °á°ú : 15 ÆäÀÌÁö: 1
models, statistical Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
(12 Dec 1998)
statistical distributions The complete summaries of the frequencies of the values or categories of a measurement made on a group of items, a population, or other collection of data. The distribution tells either how many or what proportion of the group was found to have each value (or each range of values) out of all the possible values that the quantitative measure can have.
(12 Dec 1998)
statistical genetics The study of the applications of principles of statistics to problems in genetics.
(05 Mar 2000)
statistical model A formal representation for a class of processes that allows a means of analyzing results from experimental studies, such as the Poisson model or the general linear model; it need not propose a process literally interpretable in the context of the individual case.
(05 Mar 2000)
statistical significance Statistical methods allow an estimate to be made of the probability of the observed degree of association between variables, and from this the statistical significance can be expressed, commonly in terms of the P value.
(05 Mar 2000)
data interpretation, statistical Application of statistical procedures to analyze specific observed or assumed facts from a particular study.
(12 Dec 1998)
Diagnostic and Statistical Manual An American Psychiatric Association publication which classifies mental illnesses.Currently in its fourth edition (DSM-IV) and first published in 1952, the manual provides health practitioners with a comprehensive system for diagnosing mental illnesses based on specific ideational and behavioural symptoms. The DSM approach supplants older, less rigorous methods of diagnosis, and as such represents a major step forward for the field of psychiatry. It consists of five axes covering clinical syndromes, developmental and personality disorders, physical disorders, severity of psychosocial stressors, and global assessment of functioning. It is used primarily in the U.S.; elsewhere, the World Health Organization's International Classification of Diseases is preferred.
(05 Mar 2000)
factor analysis, statistical A set of statistical methods for analyzing the correlations among several variables in order to estimate the number of fundamental dimensions that underlie the observed data and to describe and measure those dimensions. It is used frequently in the development of scoring systems for rating scales and questionnaires.
(12 Dec 1998)
adaptor hypothesis A hypothesis, proposed by F.H.C. Crick, that an adaptor molecule must be present between the information-containing DNA and the protein being synthesised.
(05 Mar 2000)
altered self hypothesis The hypothesis that the T-cell receptor in MHC mediated phenomena recognises a syngeneic MHC Class I or Class II molecule after modification by a virus or certain chemicals.
See: MHC restriction.
(18 Nov 1997)
alternative hypothesis In Neyman-Pearson testing of a hypothesis, the hypothesis or family of hypotheses about the numerical value of a parameter if and only if the null hypothesis is rejected as untenable.
(05 Mar 2000)
autocrine hypothesis That tumour cells containing viral oncogenes may have encoded a growth factor, normally produced by other cell types, and thereby produce the factor autonomously, leading to uncontrolled proliferation.
(05 Mar 2000)
Avogadro's hypothesis <physics> The hypothesis that equal volumes of two different gases at the same temperature and pressure contain the same number of molecules.
(02 Jan 1998)
Bayesian hypothesis An array of surmised values of a parameter to be severally explored in the light of a current set of data, with logical symmetry being preserved among all. The merits of each hypothesis entertained are based on quantity, the prior probability. The probability of the data conditional on the hypothesis is computed as the conditional probability for each; the product of the two for each hypothesis is the joint probability, and the ratio of each joint probability to the sum of all the joint probabilities is the posterior probability for that hypothesis. Unlike the Neyman-Pearson test of hypotheses, the answer is a statement about the hypothesis, not about the sample conditional on the hypothesis. No hypothesis is preferred or prevails by default. The procedure may be applied recursively any number of times, as the data becomes available.
(05 Mar 2000)
Makeham's hypothesis A development of Gompertz' hypothesis as to the force of mortality following some mathematical law. Makeham assumed that death was the consequence of two generally coexisting causes: 1) chance; 2) a deterioration or increased inability to withstand destruction. The first of these is constant, the second is an increasing geometrical progression.
(05 Mar 2000)
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  • statistical
    Åë°è
  • statistical
    Åë°èÀûÀÎ;Åë°èÇлóÀÇ
  • statistical mechanics
    Åë°è ¿ªÇÐ
  • hypothesis
    °¡¼³
  • efficient market hypothesis
    (Áõ±Ç)È¿À²Àû ½ÃÀå °¡¼³(»õ·Î¿î Á¤º¸ÀÇ ÁÖ°¡¿¡ÀÇ ¹ÝÀÀÀº µ¿½ÃÀûÀ̶õ °¡¼³)
  • hypothesis
    °¡¼³;°¡Á¤
  • nebular hypothesis(theory)
    (õ)(žç°èÀÇ)¼º¿î¼³
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