Our Top Picks for Smites Best Playable Heroes

Our Top Picks for Smites Best Playable Heroes

Smite started out as just another MOBA trying to compete with LoL and DOTA 2. Two giants of the industry that seemed unstoppable. Many people wrote off Smite and thought it would be dead within a year. But many years on and Smite is still one of the most popular MOBAs on the market. The metagame is in a very healthy place, new heroes are released constantly and the active modding community makes sure we have access to the latest working cheats for Smite. In fact, it seems the Smite community is more active than the DOTA 2 community, which is a huge step.

So today we are ranking our top picks for the best playable heroes in Smite. This ranking is based on our opinions and experiences, as opposed to the current Metagame.


Our first pick is the elemental wizard himself. Merlin. A ranged damage dealer, Merlin is great for fans of a more offensive playstyle. As with most ranged mages, Merlin is an excellent damage dealer allowing him a lot of lane control. He works great solo, or pairs well with a tank or melees DPS. And to top it off he has a great skin selection, including the Avatar from the popular Nickelodeon show.


The turtle king of Smite and strong enough that he could give Bowser a run for his money. Kuzenbo is one of our favorite tanks in the game. He has excellent defensive stats and health. And to top it all off, he can even silence enemies. He is also one of the more mobile tanks, able to dash around the battlefield. So if you are a fan of strength mixed with speed, this is the God for you.


The famous Egyptian God Set is one of the most brutal and popular Gods in Smite. Difficult to master but powerful once you have mastered him. Set is a melee assassin who specializes in one-on-one combat situations. His abilities render him immune to damage while stacking debuffs on his foes which eventually leads to high burst damage. He is played best when he moves from lane-to-lane ganking for the team. But he can equally be effective as a bottom-lane damage dealer when paired with good support.

Jeng Wei

Jeng Wei is a ranged DPS that I absolutely adore! She can deal a lot of damage but her main usage is speed and disabling enemy Gods. Her ultimate allows her to literally fly across the battlefield letting her back into the fight straight away. Or it can be used to set up an effective ambush. Not to mention her baseline damage skills are excellent to boot. If you’re a fan of a more traditional ranged DPS, then Jeng Wei is the one for you.


The God of wine! We love this God simply because of how jolly and drunk he is. Most of his abilities are focused on this fact as well. And he isn’t just a good laugh either. He is a powerful God too. His abilities deal a fair amount of damage, but their main draw is their ability to put some solid debuffs on your opponents. Slowing and intoxicating them. In team fights, this can be the difference between victory and defeat. If you ever come up against a Bacchus, just make sure you run when he spills his wine. Because that is when trouble is brewing!

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5 Best Web Browsers for Privacy

As businesses better keep up with you and collect your data on your preferred websites, the argument for safe and private browsing has always been more robust. Here, we evaluate the finest privacy and protection browsers, from internet names to stable browsers, such as the AVG Security Browser, built to save you.

The best browser provides a wide variety of powerful data protection tools from such a privacy and security viewpoint, making it easy to be using. These safe browsers do not monitor your online activity and are designed to prevent anybody from accessing your data.

Learn why browser protection is so critical or even which browser seems to be the greatest for safe, private browsing. Check the best browsers in order for privacy & security or safety.

Avast Browser

Avast Browsers features a robust array of designed-in privacy and protection tools centered on a Google Chromium framework with open-source. Anti-phishing detection protects you from malicious websites which are trying to steal your personal information or spread malware onto your browser. The strong anti-tracking system protects websites from recognizing you via cookies as well as other web monitoring methods, while specialized Anti-fingerprinting technology masks your computer and helps you battle the latest browser fingerprint privacy attack.

In addition, the built-in banking mode function provides a safe virtual workspace to safeguard your confidential financial details. If a data breach leaks some of your information, you will be automatically informed. In the event that your website you’re currently visiting does not really offer Avast Secure Browser even encrypts your data with automated HTTPS security.

AVG Security Browser

This is designed to customize and secure by dedicated security professionals. Our point of departure is Google’s open-source Chromium platform – so you can configure it with all of your preferred Chrome extensions — and integrate that with a vast array of industry-leading privacy and security functionality.

Here is a short review of the functionality of AVG Secure Browser’s private and safe browsing:

  • Block cookies from third-party monitoring as well as other anti-tracking technologies.
  • Obscure and remain anonymous when browsing advanced anti-fingerprinting steps with your smartphone against fingerprinting methods of browsers.
  • Ignore predatory websites, scammers & anti-phishing identity theft.
  • Block all quicker-browsing ads automatically or just block malicious advertisements that could really malware your browser.
  • Construct & preserve your strong passwords with such an integrated password manager for every account or install the Chrome Web Store password plugin.
  • Block suspicious third-party browser extensions via Extension Guard, ensuring you just download the trustworthy Chrome Web Store extensions.
  • With automatic HTTPS- encryption on every website you visit, secure your confidential personal details, including your credit card number, during online shopping.
  • Prevent unauthorized websites & hackers from trying to hijack your camera and webcam guards checking on you.
  • Encrypt your traffic with integrated VPN integration and mask your IP address. You also have free VPN connectivity inside your browser from AVG Secure Browser for Android.

Install AVG Secure Browser to have all these functions and much more directly into the Security and Privacy Center. We also rendered that as simple for you all to enjoy a comprehensive suite of security and privacy safeguards so that you are fully regulated over your private information and security on the Internet.


Brave is another browser that focuses on privacy and blocks advertisements, cookies & tracker tracks, and disguises your computer for fingerprinting on your browser. On an individual website level, you could adapt your protection and privacy settings, and Brave has an integrated Tor function.

A master password, unwanted, potentially malicious scripts & HTTPS encryption are features of the feature set. Brave Browser allows you to view advertisements and help your favorite pages with the opt-in Brave Rewards scheme, although most websites and producers of content depend on ad revenues to remain afloat.


The world’s most common browser is Google Chrome, which commands approximately two-thirds of its global market share for browsers. But, although the popularity of Chrome cannot be ignored, the privacy and security of Chrome is a little bit desirable.

Is it safe for Chrome? The great news is Google regularly updates Chrome. The default secure browsing defense prevents such websites and phishing attacks, and although you decide to give your browsing history to Google in order to appreciate more coverage. Cookies from third parties are allowed by default, but no integrated ad-blocks or automated HTTPS encryption also are permitted.

Since Google has been a leader in online surveillance, mass collection and analysis of data, and targeted online publicity, it is unbelievable that Chrome is not the most personal browser. You are registered in Chrome by default with your Google account, which means that almost all your browsing is connected to your profile.

In the Google and Chrome settings, as well as in certain browser extensions, you could reset several of your privacy. But privacy users probably should take another one of the browsers on just this list into account.


This Open Source Project lays the groundwork for a number of browsers from AVG Security Browser to Chrome and Microsoft Edge themselves on this list. Since Chromium was designed as a toolbox rather than as the standalone browser, you cannot just download an install file for many other browsers as you want to.

Instead, download your operating system’s new Chromium archive and uninstall it from your preferred location—typically Program Files on a PC or Mac apps.

As a software package, Chromium is lightweight, adaptable, and flexible — however, if you would like it to be as intuitive as the other, finer browsers, you have to do something about it. And because Chromium doesn’t really update automatically, you must install updates to your device in order to keep your Chromium browser secure.

So these are some of the best web browsers that you can use for secure online browsing. These viruses protect your privacy and also prevent your system from virus attacks. So you can trust these browsers and have a safe online surfing experience.

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What is this product?

statistiXL 1.8 Released

The final release of statistiXL Version 1.8 is now available. This release is mainly intended to correct some charting layout issues experienced with Excel 2007.

  • statistiXL now provides support for Microsoft Office Excel 2007. This overcomes incompatibilities experienced by Version 1.6, particularly with regards to charting. It also includes the ability to work with the new format larger worksheets of 1048576 rows x 16384 columns.  
  • Version 1.7 of statistiXL now provides support for Microsoft Windows Vista Operating Systems. statistiXL 1.7 will install and run under Microsoft Windows Vista.
  • Support for non-English language versions of Windows and Office has been enhanced. In previous versions of statistiXL, checkbox options on dialog forms were not properly restored between tests. Checkboxes would typically be restored in an indeterminate state (i.e. neither checked or cleared). If not manually corrected for each test this would lead to unexpected errors when attempting to perform an analysis. Checkbox settings are now remembered and restored correctly between tests when running statistiXL on non-English versions of Excel and Windows.
  • The ability to add Prediction Bands to bivariate regression plots has been added. This supplements the Confidence and Standard Error Bands available in previous version of statistiXL.
  • Multiple Linear Regression now tests for Multicollinearity between variables. Variables with a Tolerance of 0, indicating exact multicollinearity, are automatically excluded from the analysis.
  • Cluster Analysis now behaves like other tests, outputing results to a new blank worksheet when the Output Range field is left blank.

statistiXL is an extremely powerful, feature rich data analysis package that runs as an add-in to Microsoft’s popular Excel™ spreadsheet program. It provides access to a wide variety of both parametric and non-parametric data analysis tools and statistical tests. By working from within Microsoft Excel™, statistiXL is able to leverage the existing features of Excel™ and provide a host of additional benefits including:

  • A familiar and powerful user interface for entering and manipulating data
  • A wide variety of formatting options for altering the appearance of results
  • The presence of a sophisticated charting package that allows both the manipulation of charts produced by statistiXL and the manual creation of new charts based on statistiXL‘s output.
  • The ability to perform further ad hoc analysis using Excel’s™ own built-in functions and calculating abilities.


Factor Analysis

Factor Analysis is a procedure that seeks to determine a reduced number of variables, called factors, that explain much of the variation present in a larger number of measured variables. statistiXL provides a comprehensive module for Factor Analysis, with a variety of analytical options. Either the correlation or covariance matrix can be used in calculating the factors. The number of factors to be extracted can be established by several different criteria: 1) the number of factors can be chosen to encompass a specified percentage of the total variance in the original data, 2) you can choose to extract factors with eigenvalues greater than a set value, 3) you can extract a specific number of factors. A variety of methods are included for determining the factors including the principal component method (not to be confused with principal component analysis), principal factor method, and maximum likelihood method. The axes of the resulting factors can then be rotated to improve the factor structure using either Varimax, Quartimax, or Equamax procedures.

Results are presented in tabular form. Descriptive statistics and the correlation or covariance matrix are provided, if these options were selected.

Linear Regression

Linear regression attempts to explain the variation present in one variable (for example Height) in terms in terms of a linear relationship to variation in one or more predictor variables (for example Age). statistiXL provides comprehensive Model I regression analysis. The module allows the selection of one or more predictor variables for each single dependent variable. Options include forward or backwards stepwise regression (with P level to enter or remove), forcing of the relationship through the origin, and graphical output (normal probability plot, residuals plot, scatterplots).

Results from regression analysis are presented in tabular form and graphical form. Summary statistics are provided if this option is selected. Statistics include the R², the correlation coefficient, the adjusted R², and the standard error of the estimate. An ANOVA table is given, to summarise the significance of the regression relationship.

Principal Component Analysis

As with Factor Analysis, Principal Component Analysis is a technique that attempts to reduce complex data sets consisting of many different variables to a smaller set of new variables that still manage to describe much of the variation in the original data. These new variables, called Principal Components, are chosen to be independent and to maximise the variance found in the original data set. statistiXL provides a number of options for Principal Component Analysis. Either the correlation or covariance matrix between variables can be selected as the basis for analysis. All Principal Components can be extracted or a subset of these based on limits such as the number to extract, the percent of variance to explain or the value of an eigenvalue. Screeplots can be produced to help in the visual determination of the appropriate number of Principal Components to extract.

Results are presented in tabular and graphical form. Descriptive statistics and the correlation or covariance matrix are displayed, if these options were selected. The eigenvalues are then tabulated along with the percent of variance and cumulative percent of total variance evident in the original dataset that each of the extracted Principal Components explains.

Analysis of Variance and Covariance

Analysis of Variance (ANOVA) is used to determine whether there is a difference between three or more categorical sets of values. Analysis of Covariance (ANCOVA) on the other hand, while also used to determine whether there is a difference between categorical sets of values also takes into account the effect of one or more numerical variables called covariates. StatistiXL provides both univariate and multivariate ANOVA and ANCOVA. Factors can be specified as fixed or random and the nesting of factors is also supported. Simplified dialog boxes aid the rapid analysis of full factorial andrepeated measures models, while for more advanced analyses a comprehensive dialog box is available that allows custom models to be specified precisely detailing the factors and interactions to be included in the analysis. Post Hoc Tests are provided so that you can drill down into your dataset and see what, if any, the major differences between groups are.

Results are presented in tabulated form, starting optionally with a table of simple descriptive statistics for each group.

Contingency Tables

A contingency table is a table of counts or frequencies. It lists the number of times that each of 2 or more variables falls into a variety of different categories. A contingency test simply examines the null hypothesis that the frequencies of observations found for one variable are independent of the frequencies of observations in the other. statistiXL provides a flexible module for the analysis of contingency tables. Two-way and multi-way contingency tables can be analyzed. The statistics available for the frequency test are Chi² and log-likelihood, the latter being a good alternative approach to Chi² if the expected frequencies are small. Yates’ and Cochran’s corrections for continuity are provided for 2×2 contingency where such an adjustment is recommended because of the low degrees of freedom. statistiXL explains how to subdivide a contingency table and warns of the limited statistical value of this approach. A Heterogeneity Chi² can be used in a contingency table analysis to determine if a number of sets of observed frequency data can be combined into a single set. statistiXL explains how to analyze contingency tables for heterogeneity.

Results are presented in tabulated form, starting with an optional table of a summary of the observed and expected frequencies. The test results are then presented, with the Chi² and Log-likelihood values, along with their degrees of Freedom and P values.

Descriptive Statistics

The descriptive statistics feature of statistiXL provides a quick and easy summary of the basic parametric and nonparametric statistics that describe a sample of values. Unlike many packages, statistiXL provides modules for both linear data and circular descriptive statistics. The descriptive statistics which can be provided (by user selection) with the linear descriptive statistics module are: mean, median, mode, standard error, standard deviation, variance, coefficient of variation, lower and upper confidence limits, 25th and 75th percentiles, sum, minimum and maximum values, nth smallest and largest values (with user input of n), range, count, skewness (with probability if count >9) and kurtosis (with probability if count >19). If these data are sampled at random from anormal distribution, then the data are best summarized by the parametric statistics such as mean, variance and standard deviation. If the data are sampled from a non-normal distribution, then the non-parametric statistics such as median, mode, percentiles and range may be more appropriate statistics for summarizing these data. Options for graphical output includes a “box and whisker” plot and an error bar plot.

A sample of values collected using a circular scale (e.g. time of day or compass bearing) can be described by a variety of descriptive statistics, the more common being the mean angle, angular variance, and angular standard deviation. Optional graphical output includes a circular plot.

Nonparametric Statistics

Nonparametric statistical tests are distribution-independent tests that are used to analyse data for which an underlying distribution (such as the normal distribution) is not assumed. Non-parametric statistics have a number of advantages over parametric statistics.

statistiXL provides a diverse array of nonparametric tests. The sign test can be used to examine whether two populations have the same median, and for observations in pairs with one of each pair coming from each population. Various modifications of the sign test can be used for specific tests The Friedman test for blocked data is equivalent to a sign test, but for more than 2 groups. The Mann-Whitney test (U statistic) is a nonparametric test that uses the ranks of two independent samples, from the highest to lowest (or lowest to highest), to calculate the U statistic; it is the nonparametric analog to the parametric two-sample t-test. The Wilcoxon’s signed-rank test ranks the differences between pairs of data (or single data set of a sample) and compares the sum of positive and negative ranks with a critical U value; it is the nonparametric analog to the parametric paired t-test. The Kruskal-Wallis test is a nonparametric test for the comparison of 3 or more treatment groups, which are independent; it is the nonparametric equivalent to analysis of variance (ANOVA). A common nonparametric correlation test is Spearman’s rho rank correlation coefficients; this is analogous to the parametric Pearson’s correlation coefficient. Mood’s Median Test examines whether two or more samples come from a population having the same median. The Wald-Wolfowitz Runs test analyses a sequence of observations, or compares random samples which are mutually independent, for two or more outcomes e.g. two species of antelope, or three brands of automobile. Results are presented in tabular form.

System Requirements

  • statistiXL now provides support for Microsoft Office Excel 2007. This overcomes incompatibilities experienced by Version 1.6
  • Version 1.7 of statistiXL now provides support for Microsoft Windows Vista Operating Systems.
  • statistiXL is compatable with Excel 97, Excel 2000 and Excel 2003.
  • To be able to install statistiXL you will require just under 13MB of free disk space.
  • Memory and processor requirements are similar to those for Excel (if you can run Excel you can run statistiXL!).




Try before you buy, You can download a trial version to test if it will suit your needs.

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@Risk for Excel

Excel Ease of Use

RISK is a true add-in to Microsoft Excel, integrating completely with your spreadsheet. Browse, define, analyze—while never leaving Excel. All @RISK functions are true Excel functions, and behave exactly as native Excel functions do. @RISK windows are all linked directly to cells in your spreadsheet, so changes in one place are carried out in the other. @RISK graphs point to their cells via callout windows. Drag-and-drop ease, context-sensitive right-click menus, and the @RISK toolbar make learning and navigating @RISK a snap.

What’s New in @RISK 5.7

@RISK 5.7 is fully compatible with 64-bit Excel 2010. 64-bit technology enables Excel and @RISK to access much more computer memory than ever before. This allows for vastly larger models and greater computational power.

Simulation of Password Protected Sheets
@RISK now allows you to simulate worksheets that have been password protected in Excel. No longer do you need to unprotect your sheets to perform risk analysis, saving you valuable time.

@RISK and RISKOptimizer Merged Ribbon
Because RISKOptimizer is often used to optimize @RISK models, the buttons for RISKOptimizer have been added to the main @RISK ribbon bar in Excel for greater ease of use.

New @RISK VBA Control Methods
The new RiskResultsGraph method of the RiskSimResultsCollection object allows you to make graphs with the same syntax as the RiskResultsGraph Excel function.

What is this product?

@RISK for Six Sigma
@RISK comes with Six Sigma statistics, functions, and reports. It is used to identify, measure, and root out the causes of variability in your production and service processes and designs.

Model, Simulate, Understand

Running an analysis with @RISK involves three simple steps:

1. Set Up Your Model. Start by replacing uncertain values in your spreadsheet with @RISK probability distribution functions, like Normal, Uniform, or over 35 others. These @RISK functions simply represent a range of different possible values that a cell could take instead of limiting it to just one case. Choose your distribution from a graphical gallery, or define distributions using historical data for a given input. Even combine distributions with @RISK’s Compound function. Share specific distribution functions with others using the @RISK Library, or swap out @RISK functions for colleagues who don’t have @RISK.

Next, select your outputs—the “bottom line” cells whose values interest you. This could be potential profits, ROI, insurance claims payout, disease recovery rate, or anything at all.

2. Run the Simulation. Click the Simulate button and watch. @RISK recalculates your spreadsheet model thousands of times. Each time, @RISK samples random values from the @RISK functions you entered, places them in your model, and records the resulting outcome. Explain the process to others by running your simulation in Demo Mode, with graphs and reports updating live as the simulation runs.

3. Understand Your Risks. The result of a simulation is a look at a whole range of possible outcomes, including the probabilities they will occur. Graph your results with histograms, Scatter Plots, cumulative curves, Box Plots, and more. Identify critical factors with Tornado charts and sensitivity analysis. Paste results into Excel, Word, or PowerPoint, or place them in the @RISK Library for other @RISK users. You can even save results and charts right inside your Excel workbook.
@RISK Industries & Applications

@RISK is used to analyze risk and uncertainty in a wide variety of industries. From the financial to the scientific, anyone who faces uncertainty in their quantitative analyses can benefit from @RISK.



System Requirements

  • Minimum Platform: IBM PC compatible Pentium or higher; Microsoft Windows 95 or higher; Microsoft Excel 97 or higher
  • Recommended: 32 MB RAM, or greater


You can download a 10 days FREE trial version to test if it will suit your needs.

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