31.03.2021

Category: Olio lubrificante shell morlina s2 b 46 fusto da 209 lt

Olio lubrificante shell morlina s2 b 46 fusto da 209 lt

Shell Morlina S2 BL 5 Formerly Shell Morlina 5 is a high viscosity-index, solvent refined mineral oil blended with zinc free anti-wear and other additives to provide extended performance in circulatory systems or certain hydraulic systems. Our cut off time for order processing is 2pm. If your order is placed before 2pm you would generally receive it the following day. However, to guarantee next day delivery you would need to choose either prepreor pre in the delivery options.

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Shell Morlina S2 BL 5. Info Delivery Documents About Shell Morlina S2 BL 5 Advanced spindle, hydraulic and bearing oil Shell Morlina S2 BL 5 Formerly Shell Morlina 5 is a high viscosity-index, solvent refined mineral oil blended with zinc free anti-wear and other additives to provide extended performance in circulatory systems or certain hydraulic systems.

Payment is to be made by credit card, debit card or direct debit through PayPal. Please ask any questions before you buy, we are happy to help. Related Documents Technical Data 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.

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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. However, such a procedure would capitalize on chance.Randy, United States Iceland Complete, July 2015 Nordic Visitor was extremely professional and thorough in preparing us for our 14-day, self guided tour.

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High-Tech goes Plant-Forward"Plant-based diets and dishes continue to dominate the food world, and now the tech industry has a seat at the table, too. What will the world look like in 2000. Another great set of cards that get a lot of things right by Lloyd Alter in Urban Design googletag.

PredictIt is the stock market for politics. Make real-money political predictions on everything from impeachment odds to who will run in 2020. Will either Sarkodie or Davido win the award. How will most fights end tonight. Will the gunners win with more than 2 goals. Cyber security is not be a cop. With an average of 2.

Will there be a headed goal in the Manchester derby. Will Crystal Palace win when they meet on saturday. Will Swansea win the first half of the game against West Brom. We'll be back with the answer tomorrow. As you probably know, Anna was a mainstay of CASP from almost the beginning, first a predictor, then an assessor and then as an organizer.

Her contribution was massive. She had extraordinary scientific insight, and an amazing ability to turn that insight into effective action both in her own research and in CASP.

She ran a series of CASP conferences in Italy, she organized and hosted CASP planning meetings, she acted as chief editor of many CASP special issues of Proteins, she provided her own grant funds for many of these activities.

She was always able to make wise and practical judgements on how to deal with problems and how to push CASP forward. These formal acknowledgements fail to begin to convey what an extraordinary, marvelous, person she was, and what a privilege it was to know her and to work with her. She had an immensely strong personality that shone from her at all times - a world beating generosity of spirit that lit up a room.

She was always someone to turn to in times of stress, knowing one would receive frank, honest, and wise counsel and help.The biggest issue, though, are the receivers dealing with the half of the 'Legion of Boom' still standing. Rookie Keelan Colehas been up and down all season and has battled drops. Rookie Dede Westbrook is playing in just his fourth game.

Marqise Lee is the Jaguars' top option, but he has battled rib and knee injuries over the past six weeks and leads the NFL with seven drops. The Jaguars just don't have enough firepower to score a lot of points.

Tough to do, given that the Jaguars own the No. Also not helping this pick: Earlier this season, Seattle was throttled by the Titans (before playing frantic catch-up football). I'm not confidentBlake Bortles and the Jags' receivers can capitalize on the Achilles' heel of Seattle right now: a banged-up secondary missing Richard Sherman and Kam Chancellor. Offensively, maybe the Seahawks should come out in no-huddle, letting Russell Wilson play with a sense of urgency in quarter No.

Wilson is tied with Eli Manning(2011) for the most fourth-quarter touchdown passes in a single season. Blake Bortles played well against the Colts last week, and I think it will carry over here.

It won't be as good, but good enough. The Jaguars win a low-scoring game. Schematically, these two defenses are mirror images of each other, but Jacksonville has the superior unit at this point. In fact, the Jaguars are the most talented team in football on the defensive side. The advantage Seattle has in this matchup is the fact the Seahawks offense practices against this scheme every day.

Now, they have to travel all the way across the country, and Jacksonville is ready for a slugfest. This is a supreme test for both teams. Athlete of the Week Stats for Kids Youth ProgramsFuel Up To Play 60 Play 60 Tuesdays Jr.

Watch Video Week 14: Seahawks at Jaguars Preview Posted Dec 8th, 2017 The Seattle Seahawks hit the road this weekend for a Week 14 matchup with the Jacksonville Jaguars. Watch Video Seahawks Are "Fired Up For This Opportunity" At Jacksonville Posted Dec 8th, 2017 The Seattle Seahawks took advantage of being able to practice outside all week and are "fired up" for the upcoming game against Jacksonville on Sunday.

Watch Latest Photos Photos Week 14: Thursday Practice Posted Dec 8th, 2017 Photos from Thursday's practice at Virginia Mason Athletic Center as the Seahawks ready for their Week 14 matchup with the Jacksonville Jaguars at Everbank Field. View Photos Kids Club Members of the Game Posted Dec 8th, 2017 Did you know that Kids Club All-Pro and MVP members are automatically entered for a chance to win two tickets to a Seahawks home game.

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Check out this year's lucky Kids Club members of the game. View Photos Seahawks vs Jaguars Through The Years Posted Dec 7th, 2017 Take a look back through history at the Seahawks' matchups against the Jaguars as the two teams ready to face off during Week 14 at Everbank Field.

Who draws first blood: Jared Goff or Carson Wentz. When the Los Angeles Rams took Jared Goff No. And when they face off Sunday at the Los Angeles Memorial Coliseum, it will be just the fifth time in that era that those two quarterbacks will face each other.

Try Week 15 of the 1983 season, when defending Super Bowl champion Washington (34. And while Wentz is leading the NFL with 29 touchdown passes and attempting to become the first Eagle to at least share the league lead since Roman Gabriel in 1973, Goff has improved his Total QBR from an NFL-low 18.

FPI gives the Eagles a 52 percent chance to win, by 0. When the Rams' Jared Goff and the Eagles' Carson Wentz meet Sunday, it will mark the fifth time since 1967 that QBs drafted Nos. USA TODAY Sports, Getty ImagesCan the Jaguars nullify Russell Wilson's late-game heroics. Last week in this space, we waxed on about how the Eagles looked like the natural successors to the Seahawks, then Seattle handled Philadelphia in prime time.

Up next as contenders for the Legion of Boom mantle. Here come the Jaguars, trying to become the first team in the Super Bowl era to lead the NFL in points allowed, yards allowed, takeaways and sacks.

The key for the Jags on Sunday, though, will be to keep the ball out of Russell Wilson's hands late. Wilson, who has jumped into MVP talk of late, has 15 touchdown passes in the fourth quarter with one interception. Conversely, Jacksonville quarterback Blake Bortles has tossed exactly one fourth-quarter TD this season, and four picks. He leads the league with 74 turnovers since entering the NFL in 2014, though Jacksonville has minimized his miscues this season, with opponents scoring 15 points off 15 turnovers.For example, the FSD for 2015 is 2, and for 0.

The array represents the number of occurences for each digit from 1 to 9. Name of the outlier detection test. Currently only value available is grubbs. When name is grubbs, it returns Grubbs Result Object. An outlier present in the data. It is available only when at at least of one of the boolean values in significant is true.

Example: 128 description optional A description of the model up to 8192 characters long. Example: true name optional The name you want to give to the new model. Example: 10 randomize optional Setting this parameter to true will consider only a subset of the possible fields when choosing a split.

Example: 16 tags optional A list of strings that help classify and index your model. Boosting attribute for the boosted tree. All the information that you need to recreate or use the model on your own. Specifies the list of ids of the field that the model predicts.

More concretely, it contains the training data distribution with key training, and the distribution for the actual prediction values of the tree with key predictions. Importance is the amount by which each field in the model reduces prediction error, normalized to be between zero and one. Default strategy followed by the model when it finds a missing value.

At prediction time you can opt for using proportional. A dictionary with an entry per field used by the model (not all the fields that were available in the dataset). They follow the same structure as the fields attribute above except that the summary is not present. A Node Object, a tree-like recursive structure representing the model. Method of choosing best attribute and split point for a given node. For classification models, a number between 0 and 1 that expresses how certain the model is of the prediction.

See the Section on Confidence for more details. Note that for models you might have created using the first versions of BigML this value might be null. An Objective Summary Object summarizes the objective field's distribution at this node. If the objective field is numeric and the number of distinct values is greater than 32. If the objective field is categorical, an array of pairs where the first element of each pair is one of the unique categories and the second element is the count for that category.

If the objective field is numeric and the number of distinct values is less than or equal to 32, an array of pairs where the first element of each pair is one of the unique values found in the field and the second element is the count.CS:GODotA 2OverwatchLeague of Legends Todays Tips CS:GO Predictions Dota 2 Predictions Overwatch Predictions Tip Sheet (Going through upgrades) Results Our Analysts Where to bet CS:GO Betting CS:GO Betting Guide NitrogenSports Arcanebet eBettle Betway Betspawn Tipbet GG.

Let us help you get started. Start 1,409 winning tips from 125 tipsters in the last 180 days. Welcome to Tipify 42k Join 3k Like 21k Follow 4. Access Tipify predictions for free before the start of the game.

Filter: CS:GO Dota 2 Overwatch League of Legends Tomorrow LCK 1. TV Challenge Cup spray'n'pray 2. NET Cup Nemiga 3. Bet Cup pro100 2. Always leave enough to bet another day. We're looking for the best eSport bettors, is that you. Aka Fallhans (1225th) 3 months ago View Gambit Gaming vs.

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In the Forum Should Tipsters be allowed to suggest skips. If you continue to use this site we will assume that you are happy with it. College football betting picks: Florida-South Carolina odds, predictions and best bets for Week 11 Christopher Smith Posted 4 weeks ago College football has reached Week 11 and the SEC Wizard is back to give you betting picks and tips.

But if you like schadenfreude, it should be entertaining. The Gators (3-5) enter on a 4-game losing streak. Interim coach Randy Shannon lost his first game in that role, 45-16, at Missouri last week.

Meanwhile, the Gamecocks (6-3) stayed close to Georgia in a 24-10 loss. Will Muschamp is looking for his first win against his former program, and South Carolina likely will finish second in the SEC East with a win here.

Florida, meanwhile, is focused on finding its next coach and holding together what had been a very good 2018 recruiting class. Turn this into a conservative, defense-first game. Rely on kicker Eddy Pineiro and win on special teams. How South Carolina can win: Take advantage of one of the worst offenses in FBS (Florida), and get the Gators off the field early and often.


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