000			03763cam a2200445 i 4500
001			20617734
003			BJBSDDR
005			20250606130402.0
007			ta
008			180806t20182018nyua 001 0 eng
010			_a 2018037190
020			_a9781507208175 (hardcover)
020			_a1507208170 (hardcover)
020			_z9781507208182 (ebook)
020			_z1507208189 (ebook)
040			_aDLC _beng _cDLC _erda _dDLC
041			_a eng
042			_apcc
050	0	0	_aQA276.12 _b.B6678 2018
082	0	0	_a519.5 _223
100	1		_aBorman, David _eauthor. _942578
245	1	0	_aStatistics 101 : _bfrom data analysis and predictive modeling to measuring distribution and determining probability, your essential guide to statistics / _cDavid Borman.
250			_aFirst Adams media hardcover edition.
264		1	_aNew York : _bAdams Media, _c2018.
300			_a235 pages : _billustrations ; _c19 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aAdams 101
500			_aA crash course in statistics"--Cover.
500			_aIncludes index.
505			_a The basics of statistics How statistics are used Key points of statistical analytics Mixing up the test Knowing the quality of your data Modeling risk, measuring samples, and predicting Frequency distributions Dot plots, bar charts, histograms, frequency polygons More ways to see numbers-based data The mean, the median, and the mode The range and interquartile range Mean deviations and variations The law of large numbers Empirical probability and subjective probability Yes or no Basics of probability distributions Analyzing probability distributions The roll of the dice Normal distribution The central limit theorem Outliers on the bell curve Limited and unlimited data Variance as a measure of risk Size matters Measuring distribution What are confidence intervals? Measuring confidence intervals The basics of hypothesis testing Taking it to the next level Measuring large sample population proportions The hypothesis test Patterns in data Predicting the future The T-distribution Groups of data Tests for two populations Statistics in academic research Getting good data A regression example What regression data tables tell us Determining the causes Chi-square distribution Anova basics Anova at work Quantitative research design Quality of the data Quantity and sourcing of the data Appropriate survey design The ethics of statistics Big data, supercomputers, and artificial intelligence
520			_aFrom understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you'll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun.-- _cProvided by publisher.
650		0	_aStatistics.
650		0	_aMathematical statistics.
776	0	8	_iOnline version: _aBorman, David, author. _tStatistics 101 _dNew York : Adams Media, 2018 _z9781507208182 _w(DLC) 2018039029
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _n0 _cBK
999			_c123782 _d123782