Whatever James Yap was trying to say, above, it seems the rumours surrounding Kris and Mayor Bautista were fired up again after she was reportedly seen being dropped off by Mayor Bistek himself at the ABS-CBN studios for a taping session.
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His current political platform — heart evangelista. Smuggling and porky pies or just a complete failure. Articles with a content like this one make me admire the blind. Yes the line between government and showbiz in this country barely exists. One moment Kris for whatever reason is there with the President of Malaysia while doing covert ops with her love life.
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Kris is a sell out for endorsing every product there is, Up to you who much you want to believe her grandfather was a sell out. Who the hell tells you these things? These calculations are often automatically performed by the QC programs in laboratory computer systems, personal computer work stations, and in many automated instruments and even some point-of-care devices. If you need to perform these calculations yourself, one practical approach is to calculate monthly statistics, then tabulate the month n's, x i and x i 2 , which can then be totaled and used in the equation below to provide the cumulative estimate:.
This is a long term estimate of the central tendency observed for a control material based on a large a number of control measurements collected over a long period of time. Changes in the accuracy of a method could lead to shifts or drifts in the mean observed for a control material. From the monthly statistics that are calculated, tabulate the monthly n's and x i 's, which can then be totaled for the period of interest two months, several months , and used in the equation below to provide the cumulative mean:. Where x i t is the total of the monthly sums of individual values and nt is the total of the monthly ns for the period of interest.
The estimates for the cumulative or lot-to-date mean and standard deviation, as calculated above, are used to calculate cumulative or lot-to-date control limits. Here's a table that illustrates the whole procedure. Cumulative results are show in parentheses. A z-score is a calculated value that tells how many standard deviations a control result is from the mean value expected for that material. It is calculated by taking the difference between the control result and the expected mean, then dividing by the standard deviation observed for that control material.
For example, if a control result of is observed on a control material having a mean of and a standard deviation of 5, the z-score is 2. A z-score of 2. It is very helpful to have z-scores when you are looking at control results from two or more control materials at the same time, or when looking at control results on different tests and different materials on a multitest analyzer. You can quickly see if any result exceeds a single control limit, for example, a z-score of 3.
You can also look for systematic changes or trends occurring across different control materials, for example, consecutive z-scores of 2 or greater on two different control materials.
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If you participate in an external quality assessment program or a proficiency testing program, you are asked to analyze a series of unknown specimens and submit your test results for comparison with those obtained by other laboratories. The data from all the laboratories are usually analyzed to determine an overall average and standard deviation for the group.
The program will generally report your performance relative to the group. The difference between your test results and the overall average is often expressed by a standard deviation index, or SDI, which expresses the difference in terms of the number of standard deviations from the overall mean.
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For example, an SDI of 1. To figure the size of this average bias in concentration units, you need to multiply by the actual value of the group SD. Note the similarity between the calculation of the SDI and the z-score. They're basically the same thing, but the z-score tends to be used in internal QC programs to compare an individual QC result with the expected values for that material, whereas the SDI tends to be used in external QC programs to compare the performance of the lab with the overall mean for a defined comparative group or with an established target value.
One advantage is that it allows you to inspect results from many different tests at the same time, without having to think about different units and the actual magnitude of the change in the units of the test. In general, any SDI of 2. Any test whose average SDI is 1. In the future, this bias might lead to unacceptable results. Our goal is to bring tools, technology and training into today's healthcare industry — by featuring QC lessons, QC case studies and frequent essays from leaders in the quality control area. This is also a reference source for quality requirements, including CLIA requirements for analytical quality.
This website features the best explanation of the Multirule "Westgard Rules" and how to use them. For laboratory and healthcare professionals looking for educational and reference material in the quality control field. Tools, Technologies and Training for Healthcare Laboratories. How many significant figures are needed in the control results that are used to estimate the mean and standard deviation?
What is the equation for the mean? This is often written as: What's a practical way to calculate the mean? What does the mean tell me about method performance? What is the equation for the standard deviation? Music of Quebec and Dance of Quebec.
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