Approximately how many concurrent connections does an "average" user consume?
With average I mean: A user that browses the net, watches youtube, reads email and so on. I'm OK with an approximate nr.
I have been in the same situation providing internet connectivity for multiple satellite offices. And I discovered that this information is not really available on the internet.
So I have done a fair number of measurements to establish a base-line rule-of-thumb for how many connections typical users actually need.
Web-browsers typically will keep 3-5 connections open for each tab/window (even if it is not the active tab/window). This can easily ramp up to 15-20 if the tab runs an online app (Microsoft Office web-apps, Google Docs, SharePoint. etc.).
Additionally while loading/reloading/refreshing any page the browser may briefly go to 10-50 connections extra to fetch various parts of the web-page. Especially advertisement heavy pages can really push this upwards if the user doesn't use an ad-blocker plugin. And be aware that many ad-banners in web-pages load some code to auto-refresh every X seconds, even if the user has this tab made inactive or minimized.
When you add it all up we concluded the following:
Light users: 30-50 connections on average -> peaks up to 120-250
Heavy users: 60-100 connections on average -> peaks up to 250-500
The good news is that peaks are peaks. Not everyone has them at the same time.
I have a polygon layer that I want to label with the average yield over time. The data table is set up so that there is a polygon ID and then historic yields for each year in its own attribute column.
// Write a script to return a value to show in the pop-up.
// For example, get the average of 4 fields:
// Average($feature.SalesQ1, $feature.SalesQ2, $feature.SalesQ3, $feature.SalesQ4)
Average(values, fieldName?)
My MySQL table has the following columns: datetime, price_paid.I'm trying to calculate the average sales per day of the week, between 2 dates. This means I need select the sum of sales, between the dates startDate and endDate, grouped by weekday and divide that by the number of times every weekday occurs in that range.
I have modified the query to include an external query which returns the total of the averages. However now the field1 will not make sense anymore since it can be any of the dates depending on which ordering option you use
In 2022, the average annual amount of electricity sold to (purchased by) a U.S. residential electric-utility customer was 10,791 kilowatthours (kWh), an average of about 889 kWh per month. Louisiana had the highest annual electricity purchases per residential customer at 14,774 kWh and Hawaii had the lowest at 6,178 kWh per residential customer
Results: 81 patients were admitted--47 medical and 34 surgical. In medicine, the patients saw an average of 17.8 health professionals during their hospitalisation (95%CI 0.0-36.7) (median 17) (range 5 to 44); an average of 6.0 doctors (0.0-12.6) (5) (2-21); 10.7 nurses (0.0-22.3) (11) (3-24); and 1.0 allied health workers (0.0-4.5) (0) (0-6). In surgery, the patients saw an average of 26.6 health professionals during their hospitalisation (95%CI 0.0-66.7) (median 21.5) (range 2 to 75); an average of 10.0 doctors (0.0-25.8) (8.5) (1-33); 15.9 nurses (0.0-39.2) (13.5) (1-44); and 0.8 allied health workers (0-3.3) (0) (0-4).
Research shows that young adults who use calorie-tracking apps to monitor how many calories they consume may be more at risk for developing disordered eating patterns that could develop into eating disorders (36).
How many calories you need per day depends on whether you want to maintain, lose, or gain weight, as well as various other factors, such as your sex, age, height, current weight, activity level, and metabolic health.
While there's no perfect answer to how many credit cards you should have, the 2019 Experian Consumer Credit Review found that the average American has four. If you can responsibly manage multiple credit cards, you can maximize rewards, annual statement credits and interest-free financing.
Both Alaska and Mississippi residents have the lowest average number of credit cards, 2.8. If you have fewer credit cards than the average four, that's OK. It's up to each individual to decide the right number of credit cards for their lives.
Credit card optimizers might be curious if there's a number of credit cards that's too many. Thankfully, there really isn't a one-size-fits-all answer. It all depends on how responsible you are at managing multiple cards.
If you always pay on time and in full, then you can open as many credit cards as you want. On the other hand, if you often carry a balance or miss your payment deadline, it's in your best interest to limit the number of cards you open.
Of course, none of these factors can really be understood in isolation. We know that older Americans are more likely to be wealthy ones, too. And we know that the median net worth of a black American household is $11,000, compared to $142,000 for a white American household. But the fact that all of the (many) factors that affect geographic mobility appear to be related is not a reason to solely focus on just one (in this case, age).
I never got lots likes like many other shops but now I almost always get around 35 views and 20 something visits every single day. I list constantly too. You can't get sales if no views or visits. It's gotten worse since the summer. Would the search engine be to blame for that. or just the content of what I sell?
Only about a third of my traffic comes from Etsy's search engine and I rank fairly well on most things. On average it takes 100 views to one specific product page to make 1 to 3 sales, so it takes a lot of traffic to make consistent sales.
One downside of the study is that the users had above-average intelligence, with several being university employees. This might not be a problem in the long run, however. If, for example, we compare data we collected in 2008 for our Top Web UX Design Guidelines seminar with a similar study we ran in 2004, we find that 2008's average behavior is close to that of 2004's higher-end users. Thus, even though Weinreich et al.'s data represents high-end users, it's likely to be fairly representative of broader user behavior in the future. In fact, the authors collected their data in 2005, so the recorded behaviors might already be fairly common.
In the full dataset, the average page view contained 593 words. So, on average, users will have time to read 28% of the words if they devote all of their time to reading. More realistically, users will read about 20% of the text on the average page.
Clearly, the average visitor won't make it too far through most of my articles. But I've consciously targeted a small, elite readership with a firm commitment to usability. If you target a broader audience or have sales cycles that are shorter than 5 years, you'd be wise to put your word count on a strict diet.
How do U.S. students compare with their peers around the world? Recently released data from international math and science assessments indicate that U.S. students continue to rank around the middle of the pack, and behind many other advanced industrial nations.
Younger American students fare somewhat better on a similar cross-national assessment, the Trends in International Mathematics and Science Study. That study, known as TIMSS, has tested students in grades four and eight every four years since 1995. In the most recent tests, from 2015, 10 countries (out of 48 total) had statistically higher average fourth-grade math scores than the U.S., while seven countries had higher average science scores. In the eighth-grade tests, seven out of 37 countries had statistically higher average math scores than the U.S., and seven had higher science scores.
Another long-running testing effort is the National Assessment of Educational Progress, a project of the federal Education Department. In the most recent NAEP results, from 2015, average math scores for fourth- and eighth-graders fell for the first time since 1990. A team from Rutgers University is analyzing the NAEP data to try to identify the reasons for the drop in math scores.
The average fourth-grade NAEP math score in 2015 was 240 (on a scale of 0 to 500), the same level as in 2009 and down from 242 in 2013. The average eighth-grade score was 282 in 2015, compared with 285 in 2013; that score was the lowest since 2007. (The NAEP has only tested 12th-graders in math four times since 2005; their 2015 average score of 152 on a 0-to-300 scale was one point lower than in 2013 and 2009.)
I am currently working on an implementation of a running average on a cRIO9066 and NI9201 ADC module. The ADC values need to be averaged (approx. up to 1024 values for each of the 8 channels, 256 might be enough in the end) and this needs to be implemented on the FPGA.
The plan is to implement this using block memory, however I do not fully understand where the mistake in my code is. My idea is to shift all the values in the memory by one, and then insert the new value at memory index 0. After that I loop over all memory values to add them, and then divide that value to get an average. Please find the VI attached and below.
You can actually avoid the shift loop altogether.
To do a rolling average it does not matter what order the elements are in memory. Instead just keep track of the oldest element and replace that.
If you also track the sum then you can just subtract the removed value and add the new value and reduce this to just a few cycles of work.
You can imagine it as sum is:
sum = previous sum - oldest value + new value
After some further tests, there seems to be an issue unfortunately. When I hook up a power supply to the ADC with 0.5V, and load the VI (I made a small plotting VI just for test purposes, see attached) everything seems fine, and the averaged value is in the middle of the raw values.
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