Tiedotteet– 7.11.2019
84 % suomalaisista kannattaa Suomen liittymistä YK:n ydinaseet kieltävään sopimukseen, käy ilmi ICAN Finland -verkoston Kantarilla teettämästä mielipidekyselystä. Kyselyssä edustavalle otokselle (N = 1002) esitettiin kaksi kysymystä, joista ensimmäisessä kartoitettiin kannatusta ydinaseiden kieltämiselle ja toisessa näkemyksiä Suomen kantaan YK:n ydinasekieltosopimuksesta.
Kysymykseen ”Kannatatteko kaikkien ydinaseiden täydellistä kieltämistä?” vastasi Kyllä 87 %, Ei 8 % ja Ei osaa sanoa 5 % vastaajista.
Kysymykseen ”Pitäisikö teidän mielestänne Suomen allekirjoittaa YK:n ydinaseet kieltävä sopimus?” vastasi Kyllä 84%, Ei 8% ja Ei osaa sanoa 8% vastaajista.
Welcome to the Cookbook for R (formerly named R Cookbook). The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data. Most of the code in these pages can be copied and pasted into the R command window if you want to see them in action.
hanging rootogram A diagram ( see diagram overleaf ), suggested by Tukey in 1971, for comparing an observed bar chart or histogram (with equal-width categories)
IPSC's core competencies are in the field of engineering and information technologies, satellite image processing and analysis, open source information analysis, structural mechanics and risk assessment.
Looking for interesting data sets? Here's a list of more than 100 of the best stuff, from dolphin relationships to political campaign donations to death row prisoners.
1800-luvun jälkipuoliskolla Suomen talouden kasvuvauhti oli melko vaatimatonta ja talouden kehitys epävakaata. Kasvu nopeutui vähitellen ja saavutti huippunsa toisen maailmansodan jälkeisinä vuosikymmeninä. 1970-luvun loppupuolelta lähtien talouskasvu hidastui. 1990-luvun lama oli rauhanajan lamakausista vakavin: bruttokansantuotteen määrä pieneni vuosina 1990-1993 yli 11 prosenttia. Vuodesta 1994 lähtien bruttokansantuote on kasvanut jälleen yhtäjaksoisesti. Vuonna 2008 se kasvoi määrältään 1,0 prosenttia edellisvuodesta.
What Then Must We Do? (his latest book and his twelfth since 1965) is a breezy, conversational read filled with somber forecasts, hopeful alternative economic strategies and lots of surprising facts and stats
"Why More Equality? Our thirty years research shows that: 1) In rich countries, a smaller gap between rich and poor means a happier, healthier, and more successful population. Just look at the US, the UK, Portugal, and New Zealand in the top right of this
Internet and Population Statistics - market research oriented "website for international Internet usage statistics, world population data and web growth information. Here you will find statistical Internet usage data and population figures for over 265 c
The Canadian High Commissioner to India acknowledged that while Canadian investment into India over the last ten years was USD 239m according to official statistics, the actual figure, including money routed through the tax havens, was more like USD 10bn,
Free. provides everything a big, fat, hard-covered stats book does but it in an easily navigable web format. online book. designed and developed by David Lane at Rice University, with a host of helpful co-authors and funding from the National Science Foundation. All chapters include multiple video presentations on such topics as quantitative variables, histograms, and one-factor ANOVA. This is a great find for anyone who wants to better understand the multitude of fields, from politics to plate tectonics, that depend on statistical modeling.
Interests.
Database Systems, Data Mining, Statistical Modelling, Distributed Computing.
Saket joined IBM Research Australia in 2013 as a full-time researcher. He received a PhD degree in Computer Science from EPFL, Switzerland under Prof. Karl Aberer in March, 2013. At EPFL he was associated with the Distributed Information Systems Laboratory. Before that he received a Master's (M.Tech.) degree in Electrical Engineering from IIT Bombay in 2006. Prior to joining EPFL, he spent one year working for an Indian startup.
NOTE: Beginning in SAS 9, you can use the ODS GRAPHICS ON; statement and the PLOTS=SCATTER(ELLIPSE=MEAN) or PLOTS=SCATTER(ELLIPSE=PREDICTED) option in the PROC CORR statement to get confidence ellipse plots about the mean or individual values.
PURPOSE:
The %CONELIP macro generates confidence ellipses for bivariate normal data. It can either create ellipses for the data or ellipses about the mean.
The %JACK and %BOOT macros do jackknife and bootstrap analyses for simple random samples, computing approximate standard errors, bias-corrected estimates, and confidence intervals assuming a normal sampling distribution.
The %JACK macro does jackknife analyses for simple random samples, computing approximate standard errors, bias-corrected estimates, and confidence intervals assuming a normal sampling distribution.
The %BOOT macro does elementary nonparametric bootstrap analyses for simple random samples, computing approximate standard errors, bias-corrected estimates, and confidence intervals assuming a normal sampling distribution. Also, for regression models, the %BOOT macro can resample either observations or residuals.
The %BOOTCI macro computes several varieties of confidence intervals that are suitable for sampling distributions that are not normal.
The %CumIncid macro for estimating and plotting cumulative incidence functions with competing risks is discussed.
This version of the CUMINCID macro applies only to SAS 9.1 which is available on the Downloads tab. For SAS 9.2 and later, refer to the Autocall macro library.
The CUMINCID macro computes the crude cumulative-incidence function estimates for homogeneous (no covariates) survival data whose endpoints are subjected to competing risks: see Kalbfleish and Prentice(1980). Standard errors and pointwise confidence limits are also computed. The estimated crude cumulative-incidence curve is displayed as a step function using ODS Graphics.
The NLEstimate macro allows you to estimate one or more linear or nonlinear combinations of parameters from any model for which you can save the model parameters and their variance-covariance matrix. Most modeling procedures which offer ESTIMATE, CONTRAST, or LSMEANS statements only provide for estimating or testing linear combinations of model parameters. However, common estimation problems often involve nonlinear combinations, particularly in generalized models with nonidentity link functions such as logistic and Poisson models.
A nice statistics ahowing how any state where the average iq was above 100 voted for Kerry, and Avery state where average iq was below 99 voted for Bush.