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Hi,I want to give some feedback to the LTT team on how they display statistics in their videos. And don't get me wrong I love statistics but how you display the statistics are sometimes equally important. And I find it very strange that when they display the performance of a card or a program they swap the positions of the objects. For example: in their latest ryzen overklocking guide video where they compared results between the 1700x, 1700x (over clocked ), 1800x and the Intel i7 7700. When displaying these results they always ordered the performance from better to worse performance. This is a common and a useful practice when there are only one or maybe two graphs you want to show off. but if you show multiple graphs in a short amount of time, then it's much more intuitive to have the processors "locked" in place. First make an logical order (I.e price, performance or chronological) and then stick with it. Then the viewer doesn't have to look at the labels all the time to make sure they are reading the graphs right. The viewer wanna look at the fancy graphs, not in what order the names are in. And sure it's less of a problem when there are just a few things to keep track of but in some of their videos they can have 7 or more different elements. Ironically the i7 statistics was the easiest processor to follow since it was always at the top. Even though the video was about the amd line and the i7 used to put the ryzen in correct perspective. If you want to re order the tested products in every graph then you should at least link each product to each own color so that you can then get a rough idea. Maybe in this example the i7 could be blue, the over clocked processor be gold since it's the focus of the video and have the other two ryzen processors use red and orange. Anyway this is all my opinion and I might be the only one feeling this way but I'd like to give this feedback since I'm super confused whenever they show any type of bar graphs from performance tests in their videos. Have a good one!

First off, I am brand new here and am excited to join this community! So, for a class of mine, I have to introduce different experiments that could be done to test the variability of something computer related, then test ways to reduce that variability. I cannot think of anything. Ideas anyone?

Please help me... I am making a GCSE Statistics project and I need to hand in tomorrow my hypothesis along with some other random details, one of them being calculations. By calculations, i mean like list all the different calculations that I am going to do, such as mean, median, standard deviation etc. One tiny problem though... The answers to my hypothesis are basically yes or no (I think this is called binary data, not sure though). WHAT DO I DO?!?!?! I have no idea what calculations are suitable for this sort of data! More details about my project: Topic: Music - Can humans tell the difference at higher quality music? Test: Allow people to listen to clips of the same song at different bit rates to see if they can tell the difference Hypothesis: People can distinguish music at 128 kbps from 320 kbps cannot 128 kbps from 256 kbps cannot 256 kbps from 320 kbps Males and females will have the same results Teenagers will be able to tell the difference more frequently than adults Sample: 32 people (8 teenager males - 8 teenager females - 8 adult males - 8 adult females) Diagrams: Pie chart (correct or not) Bar chart - Males/Females Bar chart - Teenagers/Adults Sorry for the long post

Hi, I was wondering what is a good all in one software that can show me real time statistics / monitor about the computer on my desktop. Basically when I look at my desktop I want to see: * CPU temp * CPU load * GPU load * GPU temp * Network current download * Network current upload * Drive usage speed? * Memory usage Like a windows resource monitor but more in depth. For example, for the in game monitor I use MSI afterburner which shows me the FPS temps and memory. But I want the stats to be always present on the desktop ... Dont care about the size or place my desktop is empty. Im interested what do you use and how easy it is to operate. If you have a suggestion it will be great, once I tried the rainmetter but it was hard to operate. While I wait for answers Ill give it a shot once more. Thank you

If this can be placed in another thread I apologize. I keep getting lost in here when I look to see if there is a better place for this. I find it hard to place this in one of the parts category as this is a whole system project based around the premise of keeping your equipments software and firmware up to date. I’m going to be rebuilding my current rig into a new case. I plan on reapplying thermal paste to cpu and gpu, updating bios, and having a fresh windows 10 install (I’m having update issues and figured nows the time to do this. I like reinstalling Windows every once in a while. I don’t care to troubleshoot my update problem in this case.) What I would like to do is benchmark various aspects of the computer in its current boggy state, record the results, and then go through the rebuild and do the same benchmarking. This is meant to be more of me sharing some statistics between a bogged down system (bad case scenario) vs a fully up to date rebuilt system. I’m mostly here to see if anyone would like me to compile and post the results when is done? I’ll poke around at the parts sections for some benchmark ideas. I’ve still got a week before I go through with it. (Already made a new windows 10 usb with all the fresh drivers and software packages I like to start my system with. But still waiting on the new case)

Hi guys, I'm Victor from México!! I am 23 years old and I am a subscriber who has been watching his videos regularly. My question here is the following, how much could an actuarial analyst at LMG give you? I am currently finishing my career in actuarial science at a small university in Yucatan and the truth is that I would not like to stay here in Mexico. As an actuarial analyst I can see much more than just insurance. I am an expert in statistics, database management, probability and related software (R, statgraphics, stata, etc.). I hope Linus or some of the group find out what an actuary does and like the idea of having one with you (pssst hire me !!!) Regards. His friend, Victor.

I just wanted to give a shout-out to thank Jason who runs the Extreme Overclocking site that likely most of us folding this month have been looking at a lot. Jason has also helped us this month by providing a customized query we’ve been using for collecting some of the statistics. Jason has been running the site for over 10 years and maintains the site through advertising which provides barely enough revenue to cover his hosting fees. He relies on donations for hardware upgrades for his server and has a paypal button on his stats pages. I’ve just sent him $20 to say thanks for the help he’s provided and the excellent work he does and I hope some of you fellow folders will also consider contributing what you can to help Jason keep the site up and running. Keep on Folding!

Hello, everyone. I am trying to get the program wxMaxima to display the actual equation IN THE GRAPHICAL PLOT it produces when you ask it to display an approximated function's graph, given some data. I am doing this so far: (%i1) table: [[10,0.6],[20,0.9],[30,1.1],[40,1.3],[50,1.4]]; (table) [[10,0.6],[20,0.9],[30,1.1],[40,1.3],[50,1.4]] (%i3) plot2d([[discrete, table], 2*%pi*sqrt(L/980)], [L,0,60], [style, points, lines], [color, red, blue], [point_type, asterisk], [legend, "results", "theory"], [xlabel, "L (cm)"], [ylabel, "T (s)"], [y,0,2]); The problem is that the only pages talking about regression/fitted equations only refer to LINEAR regression (handy, but not useful for putting the equation in the plot itself, especially for non linear functions). I want to do this for the sample data above, but the function is not linear. Is this possible? I consulted the Maxima Manual on plotting, and it says nothing about putting regression equations in your plot. Another page in the Manual about statistics doesn't refer to graphical plotting, which is troubling (http://maxima.sourceforge.net/docs/manual/de/maxima_71.html). Can anyone help me out? Function: simple_linear_regression (x) Function: simple_linear_regression (x option) Simple linear regression, y_i=a+b x_i+e_i, where e_i are N(0,sigma) independent random variables. Argument x must be a two column matrix or a list of pairs. Options: 'conflevel, default 95/100, confidence level for the confidence interval; it must be an expression which takes a value in (0,1). 'regressor, default 'x, name of the independent variable. The output of function simple_linear_regression is an inference_result Maxima object with the following results: 'model: the fitted equation. Useful to make new predictions. See examples bellow. 'means: bivariate mean. 'variances: variances of both variables. 'correlation: correlation coefficient. 'adc: adjusted determination coefficient. 'a_estimation: estimation of parameter a. 'a_conf_int: confidence interval of parameter a. 'b_estimation: estimation of parameter b. 'b_conf_int: confidence interval of parameter b. 'hypotheses: null and alternative hypotheses about parameter b. 'statistic: value of the sample statistic used for testing the null hypothesis. 'distribution: distribution of the sample statistic, together with its parameter. 'p_value: p-value of the test about b. 'v_estimation: unbiased variance estimation, or residual variance. 'v_conf_int: variance confidence interval. 'cond_mean_conf_int: confidence interval for the conditioned mean. See examples bellow. 'new_pred_conf_int: confidence interval for a new prediction. See examples bellow. 'residuals: list of pairs (prediction, residual), ordered with respect to predictions. This is useful for goodness of fit analysis. See examples bellow. Only items 1, 4, 14, 9, 10, 11, 12, and 13 above, in this order, are shown by default. The rest remain hidden until the user makes use of functions items_inference and take_inference. Example: Fitting a linear model to a bivariate sample. Input %i4 plots the sample together with the regression line; input %i5 computes y given x=113; the means and the confidence interval for a new prediction when x=113 are also calculated. (%i1) load("stats")$ (%i2) s:[[125,140.7], [130,155.1], [135,160.3], [140,167.2], [145,169.8]]$ (%i3) z:simple_linear_regression(s,conflevel=0.99); | SIMPLE LINEAR REGRESSION | | model = 1.405999999999985 x - 31.18999999999804 | | correlation = .9611685255255155 | | v_estimation = 13.57966666666665 | (%o3) | b_conf_int = [.04469633662525263, 2.767303663374718] | | hypotheses = H0: b = 0 ,H1: b # 0 | | statistic = 6.032686683658114 | | distribution = [student_t, 3] | | p_value = 0.0038059549413203 (%i4) plot2d([[discrete, s], take_inference(model,z)], [x,120,150], [gnuplot_curve_styles, ["with points","with lines"]] )$ (%i5) take_inference(model,z), x=133; (%o5) 155.808 (%i6) take_inference(means,z); (%o6) [135.0, 158.62] (%i7) take_inference(new_pred_conf_int,z), x=133; (%o7) [132.0728595995113, 179.5431404004887]

Hello people of the internet! I am working on manipulating some data using google sheets and need a way to systematically highlight the outliers in another colour. I have figured out that this would most likely be done through advanced formatting, but I have no clue on the syntax of how I would do this, and the statistics involved. I think it would be best to highlight data outside of one standard deviation, but I am also not sure if this is the best method to go about finding the outliers... Any help that you could offer as regarding google sheets or the statistics involved in finding outliers would be MUCH appreciated. Sample of the data I am working with.

1. Samsung = 31% 2. Apple = 25.4% 3. Oneplus, Oppo & Vivo = 9.5%+ 4. Honor & Huawei = 7.4%+ 5. Xiaomi = 6.3% 6. Lenovo, Medion & Motorola = 4.5%+ 7. LG = 3.4% 8. Sony = 2.8% 9. Alcatel, Blackberry & Thomson = 2%+ 10. Nubia & ZTE = 2%+ 11. HMD Global = 1%+ 12. Meizu = 1%+ I am mainly unsure about 8 and down please help! O3O

Hey guys. Getting an error while using Logistic Regression in Jupyter. Please help out. I have tried .fillna and rechecked for any null value( there are none but still the error). The dataset here is the Titanic dataset from Kaggle.

Hello everybody I am trying to get as many people as possible to answer this extremely short survey for my math class. Why am I trying to get as many people as possible? Just this little challenge I gave myself So if anyone would be as nice and fill out the survey? I would really appreciate it Btw, why did I post it here? From my experiences so far? I think that the community here is awesome, but if this post is going against some regulations, please don't ban me Thanks y'all very much everybody David goo.gl/XEVBfG P.S. Please share with your friends also if possible, after all I do want to get the highest number possible

Hello LTT, At the age of 15 I've decided to start thinking about University. So I've been looking into the following to continue what I want to do with my knowledge of programming: Computer Science Mathematics & Statistics What I would like to do with my programming skills is make algorithms. Trying to figure out what users like, preferences - predicting the Stocks, Currency exchanges.etc Basically Things that have to do with Math. Are there any other courses I should be looking at? Edit: I'm also interesting in Networking Architecture

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