Stat-200 2.1 統計套裝軟體-統計分析軟體/新永資訊有限公司

Stat-200 v2.1 統計套裝軟體

Stat-200 v2.1 統計套裝軟體

  • Stat-200 v2.1 統計套裝軟體
  • 編號
  • 類別
  • 介紹
    Stat-200 是一個非常全面的通用統計軟件包。 它包含處理、分析和呈現數據所需的所有描述性統計、參數和非參數統計檢驗、圖形和數據轉換。 Stat-200 中的參數檢驗和程序共有 60 個,其中有 66 個非參數檢驗和程序以及 30 個不同的描述性統計。 方差分析是全面的,包括一般的 N 因子分析。 包括許多不尋常的程序,例如 生存分析。 所有測試都有相關的信息窗口,可提供文獻參考
  • 價格

Stat-200 v2.1 Statistical Package Software

Stat-200 has a state-of-the-art user interface with all its statistical and plotting modules easily selected from the logical tree views. Procedures you use frequently can be placed in a Favorites list for instant access. The workbook is a powerful tool for manipulating and selecting data. It can be any size, limited only by your computer hardware. More than 65 data transforms are supplied and there is a high-level language built-in to enable any transform to be programmed by the user. Data can be keyed-in and also either copied and pasted or dragged and dropped from spreadsheets. In addition, spreadsheet files in many formats can be directly opened. Stat-200 is readily integrated with databases and it supports Recordset tables for ODBC database connections enabling data and results to be easily passed back and forth.

Graph types in Stat-200 include all the usual types for statistical data such as line, pie, bar, scatter and box-whisker charts together with 3D plotting options. A wide variety of line graph styles is available including fits to polynomial, logarithmic, exponential and power functions and plots of moving averages, as well as graphs of raw data, means and data frequencies. In addition, many specialized graph types such as Kaplan-Meier, Weibull, Pareto, Shewart, Polar etc can be plotted automatically. Templates of frequently used graph styles can be created and saved.

Numeric results of tests can be printed direct from Stat-200 or copied to the clipboard or saved for import into other programs. Graphs can be printed or saved and also exported as Windows Bitmaps or Windows Metafiles. Integration with the Web is enhanced by optional output of text results in HTML and graphical results in .JPG and .PNG file formats.

Stat-200's statistical function module is supplied as an OCX which can be embedded in web pages or scripting languages and this gives enormous scope for incorporating statistical analysis as part of any type of project.
Descriptive Stats
•  Arithmetic mean
•  Standard deviation (n-1)
•  Standard deviation (n)
•  Standard error
•  Skewness
•  Kurtosis
•  95% confidence limit for mean
•  99% confidence limit for mean
•  Min value
•  Max value
•  Sample range
•  Number of samples
•  Median
•  Sx
•  Sx2
•  Geometric mean
•  Variance
•  Average deviation
•  Angular Descriptive Stats
•  Cosine mean
•  Sine Mean
•  Mean vector length
•  Mean angle Cosine
•  Mean angle Sine
•  Mean angle Tan
•  Mean angle
•  Circular variance
•  Angular variance
•  Angular deviation
•  Circular standard deviation
Nonparametric Tests
•  NxK Chi-squared
•  2x2 Chi-squared
•  Fisher's exact test
•  McNemar's test
•  One-sample chi-squared
•  Cramer's V
•  Contingency coefficient
•  Wilcoxon's matched pairs
•  Mann-Whitney U-Test
•  Friedmann's test
•  Kruskal-Wallis test
•  Spearman rank correlation
•  Kendall rank correlation
•  Kendall partial rank correlation
•  Kendall coefficient of concordance
•  LogRank test
•  Mantel-Haenszel test
•  Kolmogorov-Smirnov test
•  Phi-coefficient for 2x2 tables
•  Cramer coefficient C
•  Median test
•  Extension of the median test
•  Robust rank order test
•  Siegel-Tukey test for scale differences
•  Moses rank-like test for scale differences
•  Cochran Q-test
•  Jonckheere test for ordered alternatives
•  Page test for ordered alternatives
•  Chi-square test for k independent samples
•  Kendall coefficient of agreement u
•  Kappa statistic for nominally scaled data
•  Gamma statistic for ordered variables
•  Lambda statistic for asymmetrical association
•  Somers d for asymmetrical association of ordered variables
•  Cox's F-test
•  Fisher's cumulant test for normality of a distribution
•  F-test for two counts (Poisson distribution)
•  Wilcoxon inversion (U) test
•  Median test of two populations
•  Median test of k populations
•  The Siegal-Tukey rank sum dispersion test of two variances
•  Steel test for comparing K treatments with a control
•  Sequential test for a population mean
•  Sequential test for a standard deviation
•  Adjacency test for randomness of fluctuations
•  Serial correlation test for randomness of fluctuations
•  Turning point test for randomness of fluctuations
•  The difference sign test for randomness in a sample
•  Run-test on successive differences for randomness in a sample
•  Run-test for randomness of two related samples
•  Run-test for randomness in a sample
•  Wilcoxon-Mann-Whitney rank sum test for randomness
    of signs
•  Friedmann's test for multiple treatment of a series of subjects
•  Rank correlation test for agreement in multiple judgements
•  Test the equality of multinomial distributions
•  Bowker test for nominal-scale data
•  Lehmacher test for variables with more than 2 categories
•  Fisher contingency table test for variables with more than
    two categories
•  Gehan test for censored data
•  Fisher-Pitman randomization test for interval-scale data
•  Pitman-Welch test for interval scale data
•  Wall test for nominal scale data
•  Pitman randomization test for interval scale data
•  Angular-angular correlation
•  Watson U2 test (To test whether two samples from circular
    observations differ significantly from each other, regarding
    mean direction or angular variance
•  Watson-Williams test (to test whether the mean angles of two
    independent circular observations differ significantly from
    each other)
•  Pie chart
•  Bar chart
•  Area graph
•  Line graph
•  Scatter graph
•  Box-whisker graph
•  3D surface graph
•  Bubble charts
•  Polar charts
•  Radar charts
•  Polynomial regression plot
•  Pareto chart option in frequency analysis plots
•  Kaplan-Meier survival curves
•  Density function plots and cumulative probability plots for
    Gaussian (Normal) distribution, lognormal distribution, Weibull
    distribution, gamma distribution, Poisson distribution, beta
    distribution and chi-square distribution
•  Regression plots direct from raw data (single factor, single
   factor repeated measures)
•  Polynomial regression plots
• One-factor response curves and two-factor response
   surface plots(1st and 2nd order) 
•  Minimum spanning tree plots for 2 dimensions
•  Levey-Jennings/Shewart Charts
•  Sequential test for a population mean
•  Sequential test for a standard deviation classification
•  c-chart
•  X-chart
•  R-chart
Parametric Tests
•  Frequency analysis
•  Unpaired t-test
•  Paired t-test
•  Unequal variance t-test
•  Bonferroni t-test
•  One-way non-repeated ANOVA
•  One-way repeated ANOVA
•  Two-way replicated ANOVA
•  Two-way repeated ANOVA
•  Three-way ANOVA
•  Linear regression
•  Multiple linear regression
•  Compare two observed values
•  Compare 2 sample proportions
•  Compare sample and population
•  Compare paired proportions
•  Bartlett's test
•  Dunnett's test
•  Duncan's test
•  Tukey's test
•  General N factor ANOVA for multiple fixed effects factors
•  2k factorial design for k=2,3
•  Durbin-Watson test (residual auto correlation test)
•  Single classification ANCOVA for completely randomized
Pearson R
•  Repeated measures linear regression
•  Backward elimination for multiple linear regression
•  Polynomial regression
•  Tigonometric regression
•  Linear-linear correlation
•  Angular-angular correlation
•  Angular-linear correlation
•  Rayleigh test determine if oberved samples of angular data
    have a tendency to cluster around a given angle indicating
    a lack of randomness of the distribution)
•  Single Factor analysis of variance for angular data
•  Link-Wallace test for multiple com-parisons of k population
•  Hotelling's T-square test for two series of population means
•  Dixon test for outliers
•  F-test for the overall mean of K subpopulations (ANOVA)
•  F-test for multiple comparisons of contrasts between K
    population means
•  F-test for K population means (ANOVA)
•  Z-test of a correlation coefficient
•  Z-test of 2 correlation coefficients
•  t-test of a correlation coefficient
•  Hartley's test for equality of K variances
•  Fisher cumulant test for normality of a distribution
•  F-test for two population variances
•  Z-test for correlated proportions
•  The w/s test for normality of a population
•  Cochran test for variance outliers
•  Chi-square test for compatibility of K counts
•  Cochran test for consistency in an nxk table of dichotomous
•  Chi-square test for consistency in a 2xk table
•  Chi-square test for independence in a pxq table
•  Sign test for a median
•  Sign test for two medians (paired observations)
•  Signed rank test for a mean
•  Signed rank test for two mean (paired observations)
•  Mardia-Watson-Wheeler test (to test whether two
    independent random samples from circular observations
    differ significantly from each other regarding mean angle,
    angular variance or both)
•  Harrison-Kanji-Gadsden test
Data Transforms
•  Polynomial
•  Reciprocal
•  Natural Log
•  Log10
•  Log2
•  Ln(x+1)
•  Exp(x)
•  Square Root
•  Cube Root
•  Xn
•  Sin
•  Cos
•  Tan
•  Sort Ascending
•  Sort Descending
•  Rank Ascending
•  Rank Descending
•  Modulo
•  Absolute Value
•  Standardize
•  Center
•  Multiply columns
•  Divide columns
•  Add columns
•  Subtract columns
•  Error function
•  Complementary error function
•  Logit
•  Probit
•  Normit
•  Normal probabilites
•  Student's t probabilities
•  F distribution probabilities
•  Chi-Squared probabilities
•  Transform by a spreadsheet formula
•  Matrix operations: inverse matrix, tran•  spose Matrix
•  Sinh
•  Cosh
•  Tanh
•  aSin
•  aCos
•  aTan
•  Bessel functions of first and second kind
•  Conversions
•  Integer ceiling, floor
•  Powerful language to program user-d•  efined
•  Generate uniformly distributed random numbers
•  Generate normal randomly distributed numbers
•  Generate Poisson randomly distributed numbers
•  Generate exponentially distributed numbers
•  Generate gamma randomly distributed numbers
•  Fill range with arithmetic sequence
•  Fill range with geometric sequence
•  Fill range with constant
•  Kolmogorov-Smirnoff test for goodness of fit (to investigate
    the difference between an observed distribution and a
    specified population distribution) Quality control
•  The sequential test for a dichotomous classification
•  Quality control acceptance sampling



Windows 8.x, 10
( *Running in 32-bit mode in a 64-bit environment) WinHlp32.exe must be downloaded to
Use help

Internal memory: 16MB or more
Hard disk: 7MB or more
Processor: i486 and above
* The product is in English (with English PDF manual).

Stat-200 v2.1 統計套裝軟體

Stat-200 擁有最先進的用戶界面,所有統計和繪圖模塊都可以從邏輯樹視圖中輕鬆選擇。您經常使用的程序可以放在收藏夾列表中以便即時訪問。工作簿是用於操作和選擇數據的強大工具。它可以是任何大小,僅受您的計算機硬件限制。提供了超過 65 種數據轉換,並且內置了一種高級語言,使用戶可以對任何轉換進行編程。數據可以鍵入,也可以從電子表格中復制和粘貼或拖放。此外,可以直接打開多種格式的電子表格文件。 Stat-200 很容易與數據庫集成,它支持用於 ODBC 數據庫連接的 Recordset 表,從而可以輕鬆地來回傳遞數據和結果。

Stat-200 中的圖形類型包括統計數據的所有常用類型,例如折線圖、餅圖、條形圖、散點圖和盒須圖以及 3D 繪圖選項。提供多種折線圖樣式,包括擬合多項式、對數、指數和冪函數以及移動平均線圖,以及原始數據、均值和數據頻率圖。此外,可以自動繪製許多專門的圖形類型,例如 Kaplan-Meier、Weibull、Pareto、Shewart、Polar 等。可以創建和保存常用圖形樣式的模板。

測試的數值結果可以直接從 Stat-200 打印或複製到剪貼板或保存以導入其他程序。圖形可以打印或保存,也可以導出為 Windows 位圖或 Windows 元文件。通過以 HTML 格式輸出文本結果和以 .JPG 和 .PNG 文件格式輸出圖形結果,可以增強與 Web 的集成。

Stat-200 的統計功能模塊作為 OCX 提供,可以嵌入網頁或腳本語言中,這為將統計分析作為任何類型項目的一部分提供了巨大的空間。

•  算術平均值
• 標準偏差 (n-1)
• 標準偏差 (n)
• 標準誤差
• 偏度
• 峰度
• 均值的 95% 置信限
• 均值的 99% 置信限
• 最小值
• 最大值
• 樣本範圍
• 樣本數
• 中位數
• Sx
• Sx2
•  幾何平均數
• 差異
• 平均偏差
• 角度描述性統計數據
• 餘弦平均值
• 正弦均值
• 平均向量長度
• 平均角餘弦
• 平均角正弦
• 平均角度 Tan
• 平均角度
• 圓形方差
• 角方差
• 角度偏差
• 圓形標準偏差
• NxK 卡方
• 2x2 卡方
• Fisher 精確檢驗
• McNemar 測試
• 單樣本卡方
• 克萊默的 V
• 權變係數
• Wilcoxon 配對
• Mann-Whitney U-Test
• 弗里德曼檢驗
• Kruskal-Wallis 檢驗
• 斯皮爾曼等級相關性
• 肯德爾等級相關
• Kendall 部分秩相關
• 肯德爾一致性係數
• LogRank 測試
• Mantel-Haenszel 測試
• Kolmogorov-Smirnov 檢驗
• 2x2 表的 Phi 係數
• Cramer 係數 C
• 中位數檢驗
• 中位數檢驗的擴展
• 穩健的排序測試
• 用於規模差異的 Siegel-Tukey 檢驗
• 類似摩西等級的規模差異檢驗
• Cochran Q 檢驗
• 訂購替代品的 Jonckheere 測試
• 訂購替代品的頁面測試
• k 個獨立樣本的卡方檢驗
• 肯德爾一致性係數 u
• 名義縮放數據的 Kappa 統計量
• 有序變量的 Gamma 統計量
• 非對稱關聯的 Lambda 統計量
• Somers d 用於有序變量的不對稱關聯
• 考克斯 F 檢驗
• 分佈正態性的 Fisher 累積檢驗
• 兩個計數的 F 檢驗(泊松分佈)
• 威爾科克森反演 (U) 檢驗
• 兩個群體的中位數檢驗
• k 個群體的中值檢驗
• 兩個方差的 Siegal-Tukey 秩和色散檢驗
• 用於比較 K 處理與對照的鋼測試
• 總體均值的順序檢驗
• 標準偏差的順序測試
• 波動隨機性的鄰接檢驗
• 波動隨機性的序列相關性檢驗
• 波動隨機性的轉折點測試
• 樣本隨機性的差異符號檢驗
• 對樣本中隨機性的連續差異進行運行測試
• 兩個相關樣本的隨機性運行測試
• 樣本隨機性的運行測試
• 用於符號隨機性的 Wilcoxon-Mann-Whitney 秩和檢驗
• 弗里德曼對一系列受試者進行多重治療的檢驗
• 多項判斷一致的等級相關性檢驗
• 測試多項分佈的相等性
• 用於名義尺度數據的 Bowker 檢驗
• 對超過 2 個類別的變量進行 Lehmacher 檢驗
• 具有兩個以上類別的變量的 Fisher 列聯表檢驗
• 對刪失數據的 Gehan 檢驗
• 用於區間尺度數據的 Pitman-Welch 檢驗
• 標稱比例數據的牆體測試
• 區間尺度數據的 Pitman 隨機化檢驗
• 角角相關性
• Watson U2 測試(測試來自圓形觀察的兩個樣本在平均方向或角方差
• Watson-Williams 檢驗(測試兩個獨立圓形觀察的平均角度是否彼此
​​   ​​​​​顯著不同)
•  餅形圖
• 條形圖
• 面積圖
•  線形圖
• 散點圖
• 盒須圖
• 3D 曲面圖
• 氣泡圖
• 極地圖
• 雷達圖
• 多項式回歸圖
• 頻率分析圖中的帕累托圖選項
• Kaplan-Meier 生存曲線
• 高斯(正態)分佈、對數正態分佈、威布爾分佈、伽馬分佈、泊松分
  佈、β 分佈和卡方分佈的密度函數圖和累積概率圖
• 回歸圖(單因素、單因素重複測量)
• 多項式回歸圖
• 一因子響應曲線和二因子響應曲面圖(一階和二階)
• 二維的最小生成樹圖
• Levey-Jennings/Shewart 圖表
• 總體均值的順序檢驗
• 標準偏差分類的順序測試
• c-圖表
• X 圖表
• R 圖表
• 頻率分析
• 未配對 t 檢驗
• 配對 t 檢驗
• 不等方差 t 檢驗
• Bonferroni t 檢驗
• 單向非重複方差分析
• 單向重複方差分析
• 雙向複製方差分析
• 雙向重複方差分析
• 三向方差分析
• 線性回歸
•  多元線性回歸
• 比較兩個觀測值
• 比較 2 個樣本比例
• 比較樣本和總體
• 比較配對比例
• 巴特利特檢驗
• Dunnett 檢驗
• 鄧肯檢驗
• Tukey 測試
• 多個固定效應因子的一般 N 因子方差分析
• 2k 因子設計,k=2,3
• Durbin-Watson 檢驗(殘差自相關檢驗)
• 單一分類


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