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Profile views: The number of times your profile was viewed.

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Website clicks: The number of taps on the website link in your profile bio. Posts: The number of Instagram posts you have published. Mentions: The number of Instagram posts mentioning your Instagram handle. Branded hashtags: The number of Instagram posts with your branded hashtags. Gender: The gender distribution of your followers (men or women). Top locations: The top five cities and countries where your followers are. Impressions: The total number of times a post has been seen.

Likes: The number of unique accounts that liked a post. Saved: The number of unique accounts that saved a post. Engagement: The number of unique accounts that liked, saved, or commented on a post.

Impressions: The number of times a particular photo or video has been seen in your story. Reach: The number of unique accounts that saw a particular photo or video in your story. Replies: The number of replies to a particular photo or video in your story.

People insights: The list of accounts that have seen a particular photo or video in your story. Tip: You can check out their accounts by simply clicking on their handle in the list. Viewers: The number of accounts that saw any part of your Instagram live video.

Note: There is no analytics available for Instagram live videos at the moment. Beyond the above-mentioned metrics that you can obtain from Instagram analytics tools, you can go one level deeper by using some of those numbers to calculate more useful performance metrics.

Some of the Instagram analytics tools listed below can automatically calculate these metrics for you. Growth metrics allow you to know the change (increase or decrease) of a metric. An example is follower growth how your follower count is growing over time. For example, engagement rate is the percentage of your followers that has engaged with your Instagram post.

Tip: Completion rate is often used for calculating the percentage of people who viewed all the photos and videos in your Instagram Stories. It is determined by dividing the number of views for the last post in a story with the number of views of the first post in the story. Average metrics give you a benchmark for the general performance of your Instagram posts.

For example, the metric, average likes per post, tells you generally the number of likes each of your posts received. Sum of metric for a period (e. But you can also use time period (i. For instance, you could calculate the average number of viewers for your Instagram live videos on different days of the week to determine which day might be best to live stream on Instagram. Examples: Average comment, average engagement, average reach for Instagram Stories, and average viewers for Instagram live videos.

By ranking your posts by the number of impressions, reach, engagement, or views they received, you can find out your top performing posts and attempt to repeat the success.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. This means that the reported probability levels would actually overestimate the statistical significance of mean differences.

Without going into too much detail, suppose you took 20 samples of 10 random numbers each, and computed 20 means. Then, take the group (sample) with the highest mean and compare it with that of the lowest mean. The t-test for independent samples will test whether or not those two means are significantly different from each other, provided they were the only two samples taken.

Post-hoc comparison techniques on the other hand specifically take into account the fact that more than two samples were taken. Technically, it determines a linear combination of the dependent variables that best predicts the group membership.

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Another related type of analysis that cannot be directly performed with breakdowns is comparisons of frequencies of cases (n's) between groups. Specifically, often the n's in individual cells are not equal because the assignment of subjects to those groups typically results not from an experimenter's manipulation, but from subjects' pre-existing dispositions.

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If, in spite of the random selection of the entire sample, the n's are unequal, then it may suggest that the independent variables are related. For example, crosstabulating levels of independent variables Age and Education most likely would not create groups of equal n, because education is distributed differently in different age groups.

If you are interested in such comparisons, you can explore specific frequencies in the breakdowns tables, trying different orders of independent variables. However, in order to subject such differences to statistical tests, you should use crosstabulations and frequency tables, Log-Linear Analysis, or Correspondence Analysis (for more advanced analyses on multi-way frequency tables).No Close Do you want to automatically post your MailOnline comments to your Facebook Timeline.

Your comment will be posted to MailOnline as usual We will automatically post your comment and a link to the news story to your Facebook timeline at the same time it is posted on MailOnline. Feedly AOL Reader More RSS feeds. Ronaldo reveals son Jr has claimed he will be better than him: 'He tells me he can win five Ballon d'Or trophies' He's already a talent window. Ex-Spurs forward Mido shows off bold new look as he continues to enjoy retirement Moustachioed former striker retired in 2013 adverts.

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Jose Mourinho has a big opportunity to beat Pep Guardiola. Jose Mourinho's side look up the table at rivals but on the pitch the tables have turned on Pep Guardiola' side MOST READ IN DETAIL DM. Available for FREE on Google Play. Premier League football, Champions Cup rugby and top class horse racing - what a couple of days' sporting action we have in store.

There's a Manchester derby and a Liverpool derby, while Leinster, Munster and Ulster are all in Champions Cup action. Gold Cup hero Sizing John makes his seasonal return in the John Durkan Chase at Punchestown on Sunday. Djakadam is looking for his third win in the race, but trainer Willie Mullins has stressed that he may not be as sharp as in previous years this time around.

That could favour the Jessica Harrington-trained Sizing John and he could make his seasonal bow a winning one. Even though Everton have turned a corner since the arrival of Big Sam, I can see Liverpool thrashing them on Sunday.Want to improve your ACT score by 4 points.

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We provide match predictions for football matches in the Premier League, Championship, FA Cup, Serie A, Bundesliga, La Liga, SPL and Champions League. Each prediction will provide you with betting tips for the game, match odds, correct score tips, goals tips and first scorer betting tips and predictions. The Clarets succumbed to a 1-0 defeat at Leicester City last weekend with Demarai Gray netting in just the sixth minute.

Meanwhile, Watford are also winless in the last two outings. The previous meeting between the sides was at Vicarage Road which Watford won by a 2-1 score. Our betting tips and predictions anticipate a Burnley win. The Hornets have done exceptionally well on their travels with four wins in seven outings, but they face a Burnley side, who are difficult to beat in front of their fans.

Burnley recently lost 1-0 to Arsenal at Turf Moor, but they looked comfortable on the pitch barring the last-gasp penalty which cost them the match. Their home form is even better with four clean sheets and just three goals allowed in seven matches. Nevertheless, they have struggled in the scoring department with just five goals.

In contrast, Watford have scored at least two goals in all seven of their away trips with three clean sheets. However, with Watford in a contest, we expect an open encounter with at least three goals involved in their last five games on the road. Our total goals prediction is to go with over 2. Goal odds and predictions: Over 2.AMAT Stock Forecast Summary: Record Results for AMAT in the Third Quarter of Fiscal 2017 New Era of Artificial Intelligence Business and Financial Outlook for the Upcoming Periods I Know First Bullish Forecast on AMAT Read The Full Premium Article Subscribe to receive exclusive PREMIUM content Here algorithm performance algotrading AMAT Artificial Intelligence Premium premium articlePremiumPages:1234567.

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Detailed information on the use of cookies on this Site, and how you can decline them, is provided in our cookie policy. By using this Site or clicking on "OK", you consent to the use of cookies. Our mission is to help leaders in multiple sectors develop a deeper understanding of the global economy. Our flagship business publication has been defining and informing the senior-management agenda since 1964. Article - McKinsey Quarterly - October 2016 Chinese consumers: Revisiting our predictions By Yuval Atsmon and Max Magni Chinese consumers: Revisiting our predictions Article Actions Share this article on LinkedIn Share this article on Twitter Share this article on Facebook Email this article Download this article As their incomes rise, Chinese consumers are trading up and going beyond necessities.

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In 2011, we tried our hand at predicting the ways in which, in the decade to come, Chinese consumers would change their preferences and behaviors. This article takes stock of those predictions. Why check in now. Another is a comprehensive new McKinsey survey, which follows nearly ten years of previous research that includes interviews with more than 60,000 people in upward of 60 cities in China.

Deeper and more nuanced understanding of Chinese consumers can help reveal fresh opportunitiesfor new entrants and incumbents alikeand signal those areas where established players may need to be more wary.

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While geographic differences persist, Chinese consumers are, on the whole, more individualistic, more willing to pay for nonnecessities and discretionary items, more brand loyal, and more willing to trade up to more expensive purchaseseven as their hallmark pragmatism endures. Just as it was then, generalizing about Chinese consumers continues to be almost as difficult (and maybe as foolish) as it is to generalize about European consumers.

We predicted these differences would remainand even grow more significant, especially in the consumption patterns and tastes that relate to discretionary items. To help companies better tailor their go-to-market approach, we grouped most cities in China into clusters based on their similarities, including their geographic proximity and the transportation infrastructure that connects them.

Furthermore, when our latest survey compared the consumers in the Shanghai area to those around Beijing and Hangzhou, certain spending attitudes also showed marked differences. For example, brand loyalty increased much faster in Shanghai (24 percent increase in three years versus just 7 percent in Beijing and 9 percent in Hangzhou), as did the willingness to pay for better or healthier products. Despite geographic differences, there are broad similarities among Chinese consumers. These mirror the general trends economists have found among consumers around the world as economies develop.

The general tendency is for consumers, as they earn more, to spend a lower percentage of their income on food, a little more on healthcare, and even more on travel and transportation, as well as on recreational activities. It was no great stretch then, in our report five years ago, to predict a significant shift in consumption from necessities and seminecessities into discretionary categories.In a region where betting or gambling is not permitted this site should be used for informational purposes only.

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Home About Us Contact Us Premium Tips Result Password Reset Please enter your e-mail address. You will receive a new password via e-mail. Please check your browser settings or click here for further instructions. FAQ What is the bwin Predictor. The Predictor is available on both our mobile app and desktop site.

bhai log ka adda sword and shield

The first prediction is on us. How do I accumulate predictions. Bets can be placed on any sport, any market and on any day, but you will only receive your predictions the day after your bets have settled.

You can get up to 25 predictions per day. When do I get my predictions and when do they expire. You must first use your free prediction. Unused predictions will expire at kick-off of the first selected game. NEW: For bets placed on the day of the game, you'll earn predictions that will be carried over to the following week's Predictor.

When will the winner be announced.

bhai log ka adda sword and shield

We will announce the winners on the Monday after the last selected match has ended. What happens if multiple players guess correctly.This is easiest to see with an example: If NY is playing Boston, and Boston is favored to win by an 4-point spread, then a bet on Boston only pays out if Boston wins by more than 4 points. A bet on NY pays out if NY wins or if they lose by less than 4 points.

If the favorite wins by the spread exactly, it is called a "push" and all bets are refunded. In the example, if Boston wins 88-84, then it is a push and no one collects a profit. If you see "half-odds" (a 4. Also known as the "juice," the vigorish is the commission charged for placing a bet. Typically the vig is -110, and you read this number like a moneyline bet (see above).

Sometimes there are different vigs for each team. If the score is exactly what the bookies set, then the bet is a push and everyone gets their money back. Make sure to check this with your bookie first, however. The 175 should read -175. Yes No Not Helpful 5 Helpful 10 When I see a whole number alone on an odds sheet, what does it mean. Multiplying your stake by decimal odds gives your total return, not your profit(which is total return -stake). To get to fractional from decimal, add 1.

bhai log ka adda sword and shield

Yes No Not Helpful 36 Helpful 2 What does -13, for example, mean in football. The "-13" means that a football team is favored to win by 13 points.

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For you to win the bet, the team must win by more than 13 points. Yes No Not Helpful 0 Helpful 0 What does it mean when the odds are nothing for either team. Answer this question Flag as. What does odds of 9 to 4 mean on a baseball team to win the World Series. How does one tell the odds of 2.