Write an article based on this "Open the Safari browser on your Mac. Go to https://www.java.com/en/download/installed.jsp in Safari. Click Verify Java Version. Click Run, to confirm."
article: It's the app with an icon that looks like a blue compass. Type https://www.java.com/en/download/installed.jsp in the address bar and press ⏎ Return. It's a red button in the center of the page. This may prompt a pop-up window asking if you want to run Java on this page. The website will detect what version of Java you are running and recommend an update if needed.

Write an article based on this "Start with a population data set. Write down the population variance formula. Find the mean of the population. Subtract the mean from each data point. Square each answer. Find the mean of your results. Relate this back to the formula."
article: The term "population" refers to the total set of relevant observations. For example, if you're studying the age of Texas residents, your population would include the age of every single Texas resident. You would normally create a spreadsheet for a large data set like that, but here's a smaller example data set:  Example: There are exactly six fish tanks in a room of the aquarium. The six tanks contain the following numbers of fish:x1=5{\displaystyle x_{1}=5}x2=5{\displaystyle x_{2}=5}x3=8{\displaystyle x_{3}=8}x4=12{\displaystyle x_{4}=12}x5=15{\displaystyle x_{5}=15}x6=18{\displaystyle x_{6}=18} Since a population contains all the data you need, this formula gives you the exact variance of the population. In order to distinguish it from sample variance (which is only an estimate), statisticians use different variables:  σ2{\displaystyle ^{2}} = (∑(xi{\displaystyle x_{i}} - μ)2{\displaystyle ^{2}})/n  σ2{\displaystyle ^{2}} = population variance. This is a lower-case sigma, squared. Variance is measured in squared units.  xi{\displaystyle x_{i}} represents a term in your data set. The terms inside ∑ will be calculated for each value of xi{\displaystyle x_{i}}, then summed. μ is the population mean n is the number of data points in the population When analyzing a population, the symbol μ ("mu") represents the arithmetic mean. To find the mean, add all the data points together, then divide by the number of data points.  You can think of the mean as the "average," but be careful, as that word has multiple definitions in mathematics.  Example: mean = μ = 5+5+8+12+15+186{\displaystyle {\frac {5+5+8+12+15+18}{6}}} = 10.5 Data points close to the mean will result in a difference closer to zero. Repeat the subtraction problem for each data point, and you might start to get a sense of how spread out the data is.  Example:x1{\displaystyle x_{1}} - μ = 5 - 10.5 = -5.5x2{\displaystyle x_{2}} - μ = 5 - 10.5 = -5.5x3{\displaystyle x_{3}} - μ = 8 - 10.5 = -2.5x4{\displaystyle x_{4}} - μ = 12 - 10.5 = 1.5x5{\displaystyle x_{5}} - μ = 15 - 10.5 = 4.5x6{\displaystyle x_{6}} - μ = 18 - 10.5 = 7.5 Right now, some of your numbers from the last step will be negative, and some will be positive. If you picture your data on a number line, these two categories represent numbers to the left of the mean, and numbers to the right of the mean. This is no good for calculating variance, since these two groups will cancel each other out. Square each number so they are all positive instead.  Example:(xi{\displaystyle x_{i}} - μ)2{\displaystyle ^{2}} for each value of i from 1 to 6:(-5.5)2{\displaystyle ^{2}} = 30.25(-5.5)2{\displaystyle ^{2}} = 30.25(-2.5)2{\displaystyle ^{2}} = 6.25(1.5)2{\displaystyle ^{2}} = 2.25(4.5)2{\displaystyle ^{2}} = 20.25(7.5)2{\displaystyle ^{2}} = 56.25 Now you have a value for each data point, related (indirectly) to how far that data point is from the mean. Take the mean of these values by adding them all together, then dividing by the number of values.  Example:Variance of the population = 30.25+30.25+6.25+2.25+20.25+56.256=145.56={\displaystyle {\frac {30.25+30.25+6.25+2.25+20.25+56.25}{6}}={\frac {145.5}{6}}=} 24.25 If you're not sure how this matches the formula at the beginning of this method, try writing out the whole problem in longhand:  After finding the difference from the mean and squaring, you have the value (x1{\displaystyle x_{1}} - μ)2{\displaystyle ^{2}}, (x2{\displaystyle x_{2}} - μ)2{\displaystyle ^{2}}, and so on up to (xn{\displaystyle x_{n}} - μ)2{\displaystyle ^{2}}, where xn{\displaystyle x_{n}} is the last data point in the set. To find the mean of these values, you sum them up and divide by n: ( (x1{\displaystyle x_{1}} - μ)2{\displaystyle ^{2}} + (x2{\displaystyle x_{2}} - μ)2{\displaystyle ^{2}} + ... + (xn{\displaystyle x_{n}} - μ)2{\displaystyle ^{2}} ) / n After rewriting the numerator in sigma notation, you have (∑(xi{\displaystyle x_{i}} - μ)2{\displaystyle ^{2}})/n, the formula for variance.

Write an article based on this "Make sure you have formatted the letter correctly. Fold the letter into a “z fold. Begin with the letter so that the text faces down. Arrange the letter so that it is upside down. Fold the top down. Fold the bottom up. Insert the folded letter into the envelope."
article:
If you are using an envelope that has a see-through “window" where the recipient’s name and address will show through, it is very important that you have the letter formatted so that this information lines up correctly.  To format a business letter, you should first ensure that your margins are set at 1 inch (2.5 cm) on all sides in your word processor. Make sure that you have the text aligned to the left hand side of the page while you are typing the date and the recipient’s address. The letter should be single spaced except for in-between paragraphs. Between paragraphs there should be two spaces. The entire letter should be left aligned. There should be approximately 2 inches (5.1 cm) of blank space from the top of the page to the place where you type the first line of text (the date). Type the date out in full (e.g. April 1, 2016 instead of 4/1/16). Hit enter two times so that you have a blank space between the date and where you will type the recipient’s information. Type the full name of the recipient (e.g. Mr. John Doe), hit enter and type the address of the recipient, hit enter again and type the city, state, and zip code of the recipient. Be sure to include a space between the recipient’s contact information and the salutation. ” To take advantage of the window of the envelope, you will need to fold the letter so that the recipient’s name and address face outwards.  This version of folding doesn’t afford the same privacy as folding the letter inwards, but it must be folded this way if you want the name and address to show through the window. If the letter contains sensitive information, it may be best to use a standard envelope with no window. Having the text facing down will make it easier to see where the name and address are when you fold it. If you have done this right, you will not be able to read the text of the letter. The letter should be text-side down, but make sure that it is also arranged so that the recipient’s name and address are closest to you. If you have done this right, when you peek underneath the paper, the name and address of the recipient will be the closest thing to you. Take the upper third of the paper and fold it down towards you. If you aren’t sure how far that is, you can also align the envelope under the center of the paper to use as a guide. Take the bottom third of the paper and fold it up and away from you. The name and address of the recipient should now be visible to you. Take the letter so that the recipient’s information faces the front of the envelope. Insert the letter so that the information shows through the window. If you can’t see the recipient’s information, you might have inserted the letter upside down. Remove the letter and turn it around (the recipient’s information should still face the window).