Whole Grain Vs. Whole Wheat - What is Best for You? Part I

Whole Grain Vs. Whole Wheat - What s the best for you? Part I We have all seen it, 100% whole wheat bread that sits next to the white bread. It looks like white bread, but it says enriched. Enriched with what? Well, let me back up a little. When wheat is harvested the whole grain is taken to the refinery. REFINERY, did you see that! The wheat is heated to a point when the germ and the bran fall off. What is left is the starch, the white part, the not good for you part. The part that has a long shelf life and is bug resistant. Do you know why it is bug resistant? Bugs CANNOT sustain life in it. They will die if they only eat this refined grain. So why on earth, with the abundance of good life sustaining food do we eat white flour, which is the starch of the wheat grain ground up. Honestly do I need to answer that? Take a look around and you will see obesity on the rise, and now not only are adults overweight, but kids, little kids are getting more and more fat. Why? We are feeding ourselves all kinds of unhealthy food. Some do it because it is cheaper, some because of taste, and some just because they don't know any better.

So now that I explained what white bread is made of, let me continue to answer the question of "what exactly is enriched"? After the refinery takes the grains apart and makes white flour, which has no nutrition, they add some vitamins, some minerals, and some fiber, but not even a gram worth. The white bread is enriched with some of the very things they just worked so hard to take out. However, they do not add in as much of the grain they take away, otherwise it would be whole grain. Just enough to add some flavor and calories to it.

What is whole grain? It is the WHOLE grain used in the process of making bread, cereal and the building blocks of many other foods. For it to be truly healthy whole grain needs to be listed on your bread, cereal or other food in the number 1 or number 2 position on the ingredients list. No, whole wheat flour which is followed by (enriched white flour, niacin, and iron) is not healthy, it is a way of making people believe that they are getting a whole grain bread. They are not lying, it is whole wheat flour, but not whole grain. It did come from the wheat plant and it is all wheat, but not all grain. Whole is just another word like all. If you look a little farther down on the list you will see molasses, why molasses you ask? It colors the bread to make it look brown. Yup, white flour plus vitamins and minerals still does not bring the bran back into the bread. Bran is what helps to give the natural brown color to bread. So, they again, add something to it, to try and make it look like something it is not.

Linda Cramer is the owner of Oregon Gourmet Foods and Gifts. Visit our website. http://www.oregongourmetfoods.com

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A Summary of the Most Notoriuos Types of Statistical Analysis

There are fundamentally two different types of statistics which are related to but yet there is a clear distinction between them. The first is descriptive statistics and the second is inferential statistics.

First, we begin with Descriptive statistics. Descriptive statistics is basically the process of defining characteristics of a statistical measurement from a population. Descriptive statistics consist of the mechanisms and methods employed to organize and summarize raw data. There are several ways statisticians acomplish this. Charts and graphs play an important role, plus some standard measurements such as averages, percentiles, and measures of variation, such as the standard deviaton.

Also, descriptive statistics are commonly employed in the course of a baseball season. In fact, baseball statisticians spend a great deal of time and effort observing the raw data and summarizing, categorizing to discover regularities to enlighten the audience. There are many examples that would make this clear. Consider this, for example. In 1948 more than 600 games were played in the American League. To determine who had the best batting average in that year, you would need a lot of effort. You would need to take the official scores for each of the games, list each batter, compute the results of each time the player is at bat, and proceed to count the total number of hits and the times at bat. In 1948 the American League player with the top batting average was Ted Williams. But, if your goal is to calculate who the top 25 players for the season were, the statistical computations would become increasingly complicated.

The use of computer statistical programs and the capability to use a lot of statistical functions on spreadsheet programs such as Excel means that more and more complicated and detailed information can be collected, formatted and presented with only a few clicks of the mouse. The imaginary games and sports events developed by using computer applications is essentially the collection of massive amounts of data, and correlating it in such a way as to be able to compare like activities.

Now, inferential statistics is based upon choosing and measuring the validity of conclusions about a group based upon data obtained from a sample of the group. Political polling is a great example of the way inferential statistics are used. In order to determine who the winner of a presidential election is likely to be, typically a sample of a few thousand carefully chosen sample of Americans are asked for their vote intention. With this answers statisticians are able to predict, or infer who the general population will vote for with a surprinsingly high level of confidence. Obviously, the two keys to inferential statistics are choosing the righ sample of members of the general population will be chosen and which questions are asked. In a case such as the above, where there is a choice of two candidates, and the polled population, or sample population is asked: Are you planning to vote for X in the upcoming election? the only alternatives for the answer will be either yes, no, or undecided. Based on the results you should be able to determine that 51% of the sample group (for instance) will vote for Candidate X.

Applying methods of inferential statistics, you can {predict with a certain degree of confidence that Candidate X will be the winner in the election. However, we have to be careful because the the sampling procedure could have created invalid inferences. Let's recall the classic case of the 1948 Presidential election. Based on a poll obtained by the Gallup Organization, President Harry Truman believed he would only gain about 45% of the votes and would lose to Republican challenger Thomas Dewey. As a matter of fact, as history has proven many times, inferential mistakes happen and Truman won more than 49% of the votes and of course, and the end result is that he won the election. This incident changed the way samples were obtained, and much more rigorous procedures were devised to assure that more precise predictions are obtained.

Robert runs StatisticsBrain, a tutoring resource that offers statistics homework help online.

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