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You have to find ways to do things differently. But the market for shorter digital videos (aka web series) are only being acquired by Facebook, YouTube Red, and Go90.

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It appears that longer-form content is king for the time being. Read the article here. The first step is to admit and accept the scary truth that the long-established operating model of internal teams and agency partners is antiquated and far too reliant on personal observations from insulated teams in big-city offices. Read the full article hereWe are at Growth Marketing Conference today.

Stop by and say hi. We will have a drone and be filming a bunch of videos. Influencer Marketing is a hot topic that many marketers are exploring, testing and iterating.

This article in Forbes highlights a number of guesstimates from various internet influencers and industry experts for the 2018 trends. Our takeaway: Brands are still hesitant, creators are still hungry. Pricing is still all over the place. Reach is hard to quantify. A YouTube view does not equal a Facebook view which does not equal an impression. Brands that integrate influencers into their original content have had success in 2017. As those case studies surface, we will hopefully see more companies experiment with new things.

With many people choosing to watch premium, long-form video content on a TV screen, a new range of possibilities is available for advertisers.The years 2003, 2007 and 2011 had the most structures lost across the country at 5,781, 4,900, and 5,850 respectively.

Along with the rise in fires and structures lost are the costs associated with fighting fires, in direct correlation. The rest of the forum was spent on Community Wildfire Protection Plans, funding for plans, WUI fire codes, the Firewise USA program, and the Ready, Set, Go program. All of these programs are efforts started by federal, state and local governments and local private communities to educate property owners on their responsibilities to make sure their property is fire safe.

Most forest area fire departments and communities have one or more of the above programs and will help property owners assess their risks. That includes, in some cases, funding to help with thinning treatments.

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Up-to-the-minute football info here.To compute the mean all you do is add up all the values and divide by the number of values. For example, the mean or average quiz score is determined by summing all the scores and dividing by the number of students taking the exam. For example, consider the test score values:The Median is the score found at the exact middle of the set of values. One way to compute the median is to list all scores in numerical order, and then locate the score in the center of the sample.

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Since both of these scores are 20, the median is 20. If the two middle scores had different values, you would have to interpolate to determine the median. The mode is the most frequently occurring value in the set of scores. To determine the mode, you might again order the scores as shown above, and then count each one.

The most frequently occurring value is the mode. In our example, the value 15 occurs three times and is the model. In some distributions there is more than one modal value. For instance, in a bimodal distribution there are two values that occur most frequently. Notice that for the same set of 8 scores we got three different values -- 20. If the distribution is truly normal (i. Dispersion refers to the spread of the values around the central tendency. There are two common measures of dispersion, the range and the standard deviation.

The range is simply the highest value minus the lowest value. The Standard Deviation is a more accurate and detailed estimate of dispersion because an outlier can greatly exaggerate the range (as was true in this example where the single outlier value of 36 stands apart from the rest of the values.

The Standard Deviation shows the relation that set of scores has to the mean of the sample. Again lets take the set of scores:to compute the standard deviation, we first find the distance between each value and the mean.

We know from above that the mean is 20. So, the differences from the mean are:15 - 20. Next, we square each discrepancy:-5. Here, the sum is 350. Next, we divide this sum by the number of scores minus 1. Here, the result is 350. This value is known as the variance. To get the standard deviation, we take the square root of the variance (remember that we squared the deviations earlier).

This would be SQRT(50. Although this computation may seem convoluted, it's actually quite simple. To see this, consider the formula for the standard deviation:In the top part of the ratio, the numerator, we see that each score has the the mean subtracted from it, the difference is squared, and the squares are summed.

In the bottom part, we take the number of scores minus 1. The ratio is the variance and the square root is the standard deviation. In English, we can describe the standard deviation as:the square root of the sum of the squared deviations from the mean divided by the number of scores minus oneAlthough we can calculate these univariate statistics by hand, it gets quite tedious when you have more than a few values and variables.The second and third columns in the table above report the percentages relative to the number of responses (second column) as well as respondents (third column).

Thus, the entry 8. Suppose in the above example we were only interested in Coke, Pepsi, and Sprite. As pointed out earlier, one way to code the data in that case would be as follows: COKE PEPSI SPRITE.

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In other words, one variable was created for each soft drink, then a value of 1 was entered into the respective variable whenever the respective drink was mentioned by the respective respondent. In a sense, we "compact" the three variables Coke, Pepsi, and Sprite into a single variable (Soft Drink) consisting of multiple dichotomies.

All of these types of variables can then be used in crosstabulation tables. For example, we could crosstabulate a multiple dichotomy for Soft Drink (coded as described in the previous paragraph) with a multiple response variable Favorite Fast Foods (with many categories such as Hamburgers, Pizza, etc. As in the frequency table, the percentages and marginal totals in that table can be computed from the total number of respondents as well as the total number of responses.

For example, consider the following hypothetical respondent: Gender Coke Pepsi Sprite Food1 Food2 FEMALE 1 1 FISH PIZZA This female respondent mentioned Coke and Pepsi as her favorite drinks, and Fish and Pizza as her favorite fast foods. In the complete crosstabulation table she will be counted in the following cells of the table: Food. FEMALE MALE COKE PEPSI SPRITE COKE PEPSI SPRITE X X X X 2 2 This female respondent will "contribute" to (i.

Paired Crosstabulation of Multiple Response Variables. A unique option for tabulating multiple response variables is to treat the variables in two or more multiple response variables as matched pairs.

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Again, this method is best illustrated with a simple example. Suppose we conducted a survey of past and present home ownership. We asked the respondents to describe their last three (including the present) homes that they purchased. For each home we asked our respondents to write down the number of rooms in the respective house, and the number of occupants.

Here is how the data for one respondent (say case number 112) may be entered into a data file: Case no. Rooms 1 2 3 No. Now suppose we wanted to crosstabulate the number of rooms by the number of occupants for all respondents. We can also treat the two factors in this study (Number of Rooms, Number of Occupants) as multiple response variables.

However, it would obviously not make any sense to count the example respondent 112 shown above in cell 3 Rooms - 5 Occupants of the crosstabulation table (which we would, if we simply treated the two factors as ordinary multiple response variables).Except for a tiny misstep with my second order not automatically showing on the Aftership dashboard, everyt.

I think this app is simple, great, and easy to understand. It helps us release stress because without this app we would. Really easy to use and blend with your existing store. Provides customers with piece of mind and reduces delivery querie. YOU SHOULF USE THIS APP!. THIS IS LIFE CHANGING. A very good way to track your orders so you don't have to worry about losing packages. Our company didn't believe this service could make it easier for us to manage any returns, but we were wrong.

The App is saving me a lot of time managing the shipments. I can now simply log in, add them to my list and check them. Aftership has been awesome in helping our customers keep track of their orders and reducing customer emails chasing the. This app makes handling returns so much easier and an amazing time saver. Very simple and easy to set up and use. This app is a MUST have. Specially if you are just starting out, the reason why is because with Aftership its so easy to.

Not had a return yet but from what I see the concept is good and the interface looks nice and was easy to set up. Easy to use and easily integrated with shopify. Fast easy and reliable. Very user friendly and helpful.

I would recommend this to anyone getting started or well into their career. Makes life easier for us and for our customers. Exactly what we're looking for.