Subscribe to our newsletter to receive interesting offers and amazing discounts! Google has removed all gun related apps from Google Play store. Here is the alternative way to install our apps on Android phone.
As part of the Android Operative system, there is a restriction that blocks installing applications outside the Google Play Store. For security, your phone is set to block installation of applications not obtained from Play Store" message as you try to install.
But how do we get there? UPC barcode scanner for guns and ammo. Compare ammunition prices, firearm prices and accessories. Skip to main content Skip to search. Specification Manufacturer: Ruger.
Live Inventory Search Want to see your products here? Click this link. Locked Loaded.
Ruger PC Carbine Takedown 9MM 736676191222
Anthony's Firearm Warehouse. Cornerstone Arms. TSS Warehouse. Shipping Rate: Free on Firearms. Acute Firearms. Family Firearms. Tombstone Tactical. Tin Star Shooting Range. Shipping Rate: 9. TSS Outfitters. Georgia Gun-Store. SHTF Tactical. Centerfire Guns.Please note that due to export regulations, this service is not available to international customers. Any inquiry should be directed to a distributor in your country. Takedown is as simple as locking the bolt back and verifying that the rifle is unloaded, pushing a recessed lever, twisting the subassemblies and pulling them apart.
Dead blow action features a custom tungsten dead blow weight that shortens bolt travel and reduces felt recoil and muzzle rise. Bolt is machined from heat treated, chrome-moly steel to ensure strength, structural integrity and durability. Cold hammer-forged, chrome-moly steel barrel with ultra-precise rifling provides exceptional accuracy and longevity. The heavy contour barrel provides consistent accuracy, while barrel fluting sheds unnecessary weight and allows for quick handling.
Chassis system features a flared magwell for improved magazine reloading capabilities as well as integrated, rear-mounted QD cups. Glass-filled polymer chassis system, with integrated rear T6 aluminum picatinny rail, allows for the mounting of standard AR grips and picatinny rail-mountable stocks or extensions. With products made in America, Ruger offers consumers almost variations of more than 40 product lines.
For more than 70 years, Ruger has been a model of corporate and community responsibility. Factory-installed, barrel-mounted picatinny rail allows for the forward mounting of optics. Threaded barrel with included thread protector allows for use of standard muzzle accessories.
Ergonomic pistol grip features an extended trigger reach for more precise trigger control. The magazine release button should not be reversed when using this type of magazine as the magazine will not properly lock into the magazine well. However, due to reduced clearance between the top of the receiver and the bottom of the optics rail, optics and optic mounts that extend more than. Ensure that the optic or optic mount you intend to use does not extend more than.Subscribe to our newsletter to receive interesting offers and amazing discounts!
Google has removed all gun related apps from Google Play store. Here is the alternative way to install our apps on Android phone. As part of the Android Operative system, there is a restriction that blocks installing applications outside the Google Play Store. For security, your phone is set to block installation of applications not obtained from Play Store" message as you try to install. But how do we get there? UPC barcode scanner for guns and ammo. Compare ammunition prices, firearm prices and accessories.
Skip to main content Skip to search. Specification Manufacturer: Ruger. Live Inventory Search Want to see your products here? Click this link. Compare prices for Ruger PC Carbine Takedown 9MM from all vendors For permanent setup, go to your account edit page and type in your zip code. Tombstone Tactical. Gun Zone Deals. Knife Country USA. Sky Tactical. Kentucky Gun Co.
Lanbo's Armory. Shipping Rate: Calculate Postage in Cart. Locked Loaded. Cornerstone Arms. TSS Warehouse. Shipping Rate: Free on Firearms. Acute Firearms. Family Firearms.
Tin Star Shooting Range. Shipping Rate: 9. TSS Outfitters. Georgia Gun-Store.It often happens in research practice that you need to compare more than two groups (e. In these cases, you need to analyze the data using Analysis of Variance, which can be considered to be a generalization of the t-test. However, when the design is more complex, ANOVA offers numerous advantages that t-tests cannot provide (even if you run a series of t- tests comparing various cells of the design).
To index Within-group Variation. As explained in Elementary Concepts, the size of a relation between two variables, such as the one measured by a difference in means between two groups, depends to a large extent on the differentiation of values within the group. Depending on how differentiated the values are in each group, a given "raw difference" in group means will indicate either a stronger or weaker relationship between the independent (grouping) and dependent variable.
However, if the same difference of 2 was obtained from very differentiated scores (e. That is to say, reduction of the within-group variation increases the sensitivity of our test.
The t-test for dependent samples helps us to take advantage of one specific type of design in which an important source of within-group variation (or so-called, error) can be easily identified and excluded from the analysis. Specifically, if two groups of observations (that are to be compared) are based on the same sample of subjects who were tested twice (e.
However, if the same sample was tested twice, then we can easily identify (or "subtract") this variation. Specifically, instead of treating each group separately, and analyzing raw scores, we can look only at the differences between the two measures (e.
By subtracting the first score from the second for each subject and then analyzing only those "pure (paired) differences," we will exclude the entire part of the variation in our data set that results from unequal base levels of individual subjects. This is precisely what is being done in the t-test for dependent samples, and, as compared to the t-test for independent samples, it always produces "better" results (i.
If these assumptions are clearly not met, then one of the nonparametric alternative tests should be used. Technically, we can apply the t-test for dependent samples to any two variables in our data set. However, applying this test will make very little sense if the values of the two variables in the data set are not logically and methodologically comparable.
Following, is an example of a data set that can be analyzed using the t-test for dependent samples. WCC before WCC after case 1 case 2 case 3 case 4 case 5. However, the t-test for dependent samples analysis is performed only on the paired differences"ignoring" the raw scores and their potential differentiation.
Thus, the size of this particular difference of 1 will be compared not to the differentiation of raw scores but to the differentiation of the individual difference scores, which is relatively small: 0. Compared to that variability, the difference of 1 is extremely large and can yield a highly significant t value. If there are more than two "correlated samples" (e. The repeated measures ANOVA can be considered a generalization of the t-test for dependent samples and it offers various features that increase the overall sensitivity of the analysis.
The breakdowns analysis calculates descriptive statistics and correlations for dependent variables in each of a number of groups defined by one or more grouping (independent) variables.
In the following example data set (spreadsheet), the dependent variable WCC (White Cell Count) can be broken down by 2 independent variables: Gender (values: males and females), and Height (values: tall and short). GENDER HEIGHT WCC case 1 case 2 case 3 case 4 case 5. The resulting breakdowns might look as follows (we are assuming that Gender was specified as the first independent variable, and Height as the second).
For example, in the above example, you see the means for "all males" and "all females" but you do not see the means for "all tall subjects" and "all short subjects" which would have been produced had you specified independent variable Height as the first grouping variable rather than the second. Statistical Tests in Breakdowns.
If you are interested in differences concerning the means, then the appropriate test is the breakdowns one-way ANOVA (F test). If you are interested in variation differences, then you should test for homogeneity of variances. Other Related Data Analysis Techniques. Although for exploratory data analysis, breakdowns can use more than one independent variable, the statistical procedures in breakdowns assume the existence of a single grouping factor (even if, in fact, the breakdown results from a combination of a number of grouping variables).
Thus, those statistics do not reveal or even take into account any possible interactions between grouping variables in the design. For example, there could be differences between the influence of one independent variable on the dependent variable at different levels of another independent variable (e.
You can explore such effects by examining breakdowns "visually," using different orders of independent variables, but the magnitude or significance of such effects cannot be estimated by the breakdown statistics. Post-Hoc Comparisons of Means.
Usually, after obtaining a statistically significant F test from the ANOVA, one wants to know which of the means contributed to the effect (i. One could of course perform a series of simple t-tests to compare all possible pairs of means.MetPublications presents The Met's comprehensive publishing program from the last five decades, including books, Bulletins, Journals, and online publications.
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MetPublications MetPublications presents The Met's comprehensive publishing program from the last five decades, including books, Bulletins, Journals, and online publications. Audio Guide Listen to the stories behind thousands of artworks in The Met collection and select exhibitions. Go to Figma All Collections Live Device Preview Live Device Preview Live Device Preview Our Mirror app lets you view your designs on a mobile device in real-time Written by Jason Updated over a week ago To preview your designs on your mobile device download the Figma Mirror app for iOS or Android here.
When your computer and mobile device are connected to the same WiFi, select a frame in your design on Figma. Please keep in mind that Mirror doesn't scale content. It's a 1:1 mapping to what you see in the Figma Editor on your computer. Currently, Figma's Mirror App only supports Android 7 and higher.
Since there are many Android users who use older devices with older versions of the OS, we would like to be able to support those in the future. Both Android and iOS users can also preview designs on the web. You'll want to have two (2) windows of Figma open. In one window, click on the frame you'd like to show. Group 65Go to Figma All Collections Live Device Preview Our Mirror app lets you view your designs on a mobile device in real-time Written by Jason Updated over a week ago Did this answer your question.
API previews let you try out new APIs and changes to existing API methods before they become part of the official GitHub API. During the preview period, we may change some features based on developer feedback.
If we do make changes, we'll announce them on the developer blog without advance notice. To access an API preview, you'll need to provide a custom media type in the Accept header for your requests. Feature documentation for each preview specifies which custom media type to provide.
Prepare a GitHub repository for migration to GitHub Enterprise. Import source repositories to GitHub with the API version of the GitHub Importer. Custom media type: barred-rock-preview Announced: 2016-02-19 Update: 2016-05-03Exercise greater control over deployments with more information and finer granularity.
Custom media type: ant-man-preview Announced: 2016-04-06Custom media type: squirrel-girl-preview Announced: 2016-05-12 Update: 2016-06-07Custom media type: mockingbird-preview Announced: 2016-05-23Custom media type: mister-fantastic-preview Announced: 2016-07-06Custom media type: machine-man-preview Announced: 2016-09-14Custom media type: inertia-preview Announced: 2016-09-14 Update: 2016-10-27Custom media type: cloak-preview Announced: 2017-01-05Retrieve community profile metrics (also known as community health) for any public repository.
Custom media type: black-panther-preview Announced: 2017-02-09Users can block other users. Organizations can block users, too. Custom media type: giant-sentry-fist-preview Announced: 2011-05-31 Update 1: 2016-04-04 Update 2: 2016-08-17SCIM-enabled Identity Providers (IdPs) can automate provisioning of GitHub organization membership.
View a list of repository topics in calls that return repository results. Custom media type: mercy-preview Announced: 2017-01-31View all codes of conduct or get which code of conduct a repository has currently. Fetch, add, and delete team-based review requests on pull requests. Custom media type: thor-preview Announced: 2017-07-26Custom media type: hellcat-preview Announced: 2017-09-01Custom media type: nightshade-preview Announced: 2017-11-09 API Docs GraphQL API v4 REST API v3 Apps Webhooks Enterprise Enterprise 2.
Migrations Prepare a GitHub repository for migration to GitHub Enterprise. Custom media type: wyandotte-preview Source import Import source repositories to GitHub with the API version of the GitHub Importer. Custom media type: barred-rock-preview Announced: 2016-02-19 Update: 2016-05-03 Enhanced deployments Exercise greater control over deployments with more information and finer granularity.
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Custom media type: machine-man-preview Announced: 2016-09-14 Projects Manage projects.Punters have been given an easy-to-use way of discovering whether or not a fancied bet offers value, thanks to Europe's biggest tipping network. It can even allow users to bet directly with Bet365, one of the world's biggest bookmakers, should the firm offer higher odds than those calculated.
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To see our content at its best we recommend upgrading if you wish to continue using IE or using another browser such as Firefox, Safari or Google Chrome. By Ben Rumsby The spectre of match-fixing enveloped the Premier League after an expert on Asian betting markets claimed at least one game in the division had almost certainly been rigged.
Ruger PC Carbine Takedown 9MM 19122
It is not possible to reveal the suspect matches in question or when they took place for legal reasons but details have been passed to both the Football Association and police. Wenger: English game is 99. Mark Brosnan, whose firm is one of the leading online betting exchanges, particularly in the Asian market in football, said both combined big swings in odds with a highly-suspicious performance from at least one of the players on the pitch.
He also said it was a misconception that match-fixers made money on spot-betting, such as yellow cards, insisting they targeted goals and outcomes. It is the most serious allegation that can be made about anyone involved in sport. It is about the most serious attack that can be made on sport.
Anyone with allegations, information or evidence should report it to the police.Specifying a range of rows. As illustrated in the following example, it's possible to provide a list of input fields, selecting the fields from the filtered input dataset that will be created. Filtering happens before field picking and, therefore, the row filter can use fields that won't end up in the cloned dataset.
See the Section on filtering sources for more details. Each new field is created using a Flatline expression and optionally a name, label, and description. A Flatline expression is a lisp-like expresion that allows you to make references and process columns and rows of the origin dataset. See the full Flatline reference here. Let's see a first example that clones a dataset and adds a new field named "Celsius" to it using an expression that converts the values from the "Fahrenheit" field to Celsius.
A new field can actually generate multiple fields. In that case their names can be specified using the names arguments.
In addition to horizontally selecting different fields in the same row, you can keep the field fixed and select vertical windows of its value, via the window and related operators. For example, the following request will generate a new field using a sliding window of 7 values for the field named "Fahrenheit" and will also generate two additional fields named "Yesterday" and "Tomorrow" with the previous and next value of the current row for the field 0.
The list of values generated from each input row that way constitutes an output row of the generated dataset. See the table below for more details. See the Section on filtering rows for more details. Example: "description": "This field is a transformation" descriptions optional Array A description for every of the new fields generated. Example: "fields": "(window Price -2 0)" label optional Array Label of the new field.
Example: "label": "New price" labels Array Labels for each of the new fields generated. Example: "name": "Price" names optional Array Names for each of the new fields generated. Basically, a Flatline expresion can easily be translated to its json-like variant and vice versa by just changing parentheses to brackets, symbols to quoted strings, and adding commas to separate each sub-expression.
For example, the following two expressions are the same for BigML. If you specify both sampling and filtering arguments, the former are applied first. As with filters applied to datasources, dataset filters can use the full Flatline language to specify the boolean expression to use when sifting the input. Flatline performs type inference, and will in general figure out the proper optype for the generated fields, which are subsequently summarized by the dataset creation process, reaching then their final datatype (just as with a regular dataset created from a datasource).
In case you need to fine-tune Flatline's inferences, you can provide an optype (or optypes) key and value in the corresponding output field entry (together with generator and names), but in general this shouldn't be needed.
Samples Last Updated: Monday, 2017-10-30 10:31 A sample provides fast-access to the raw data of a dataset on an on-demand basis. When a new sample is requested, a copy of the dataset is stored in a special format in an in-memory cache. Multiple and different samples of the data can then be extracted using HTTPS parameterized requests by sampling sizes and simple query string filters. That is to say, a sample will be available as long as GETs are requested within periods smaller than a pre-established TTL (Time to Live).
The expiration timer of a sample is reset every time a new GET is received. If requested, a sample can also perform linear regression and compute Pearson's and Spearman's correlations for either one numeric field against all other numeric fields or between two specific numeric fields.
You can also list all of your samples. You can also use curl to customize a new sample with a name. Once a sample has been successfully created it will have the following properties. Through the status field in the sample you can determine when the sample has been fully processed and ready to be used. Thus when retrieving a sample, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve.