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System Monitor is an MMC snap-in that monitors specific computer resources in real time, displaying the information in Graph, Histogram, or Report view. You can use System Monitor to monitor network traffic by selecting performance counters corresponding to network interfaces, protocols, or applications. Performance Logs And Alerts is an MMC snap-in that uses System Monitor s per formance counters to capture information to log files over a long period of time. You can use Performance Logs And Alerts to establish a network performance baseline, and then compare the baseline to current performance levels. Network Monitor is a protocol analyzer that can capture packets from the network and analyze their contents in detail.

The Edit Picture Dialog Box Is Unavailable Outside Photo Gallery When you re not working in a photo gallery, all the editing commands in the Edit Picture dialog box (and more) are available on the Pictures toolbar, in the Picture Properties dialog box, or by clicking and dragging handles. Nevertheless, it would be a nice improvement to make the Edit Pictures dialog box available for all pictures, perhaps as a right-click menu option or configurable editor.

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Once the performance counter object is created, you can specify a category for your custom performance counters and keep all related counters together. The PerformanceCounter class is defined in the System.Diagnostics namespace, along with a number of other classes that you can use to read and define performance counters and categories. For more information on creating custom performance counters see, Knowledge Base article 317679, How to create and make changes to a custom counter for the Windows Performance Monitor by using Visual Basic .NET, at http://support.microsoft.com/default.aspx scid=kb;en-us;317679.

For more information on IPv6 support in Windows 7, including built-in client support for Teredo and other IPv6 transition technologies, see 28 .

Determines the probability that a set number of true/false trials, where each trial has a consistent chance of generating a true or false result, will result in exactly a specified number of successes (for example, exactly five out of ten coin flips will end up heads) Finds a value that best fits a result in a chi-squared distribution Returns a value you can use to construct a confidence interval for a population mean Determines when the number of failures in a series of true/false trials exceeds a criterion (for example, more than 5 percent of light bulbs in a production run fail to light) Estimates the standard deviation of values in a column by considering only those values that meet a criterion Calculates the standard deviation of values in a column based on every value in the column.

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Estimates the variance of values in a column or list by considering only those values that meet a criterion Calculates the variance of values in a column or list based on every value in the column Returns the value that would generate a target result from an F-test (a test of variability between two data sets) Calculates future values based on an existing time series of values Returns the value that would generate a given result from a gammadistributed (that is, skewed) data set Predicts the exponential growth of a data series Returns the probability of selecting an exact number of a single type of item from a mixed set of objects For example, a jar holds 20 marbles, 6 of which are red.

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If you choose three marbles, what is the probability you will pick exactly one red marble Calculates the point at which a line will intersect the y-axis Generates a line that best fits a data set by generating a twodimensional array of values to describe the line Generates a curve that best fits a data set by generating a twodimensional array of values to describe the curve Returns the inverse logarithm of a value in a distribution Returns the number of standard deviations a value is away from the mean in a lognormal distribution Returns the probability that there will be a given number of failures before a given number of successes in a binomial distribution..

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