Is Statistics Killing Me?

March 16, 2015

Like dreams, statistics are a form of wish fulfillment. 

-Jean Baudrillard
Writing is a form of expressing my thoughts silently. The never ending ideas and stories to tell plus the use of magical pens and papers are my best friends to share my insights and to tell who really I am. However, in life, there should be another side of learning. Sometimes life is about numbers, solving here and solving there to survive every obstacles we’ve encountered. Then in every problems there’s always be tended answers. Through this point, it’s my heartfelt to share my days of an endless computing and analyzing problems with numbers from my Statistics class.

This is not my first time to encounter Statistics. I studied about this before but not even gave my best try of seriousness and it was just a full of nonsense way. Right now, Statistics gives me a millions of  wanderlust of exploring the world of critical scrutiny. Not to say, I wish to be like Albert, you know him… “The great Eistein” remember? Well, he was a genius one. But, in this case, I formally admire to Sir Ronald Aylmer Fisher, the father of modern Statistics. I met him just this semester. For almost a month of sacrificing and not enjoying my rest days just working out my Statistics exercises and final exam,  I could tell how his life is amazing. It’s a magical learning. It isn’t killing me, anyway. 

Here are some statistical ideas with corresponding statistical formula I’ve learnt from my professor:

1. Statistic vs. Statistics

Statistic– The data gathered from the study. 
Statistics– The practice of collecting and analyzing the data gathered.

2.  Z and T-test (One and Two Samples) 

Inferential Statistics concerns with making decisions not knowing the absolute truth that is which of the two decisions is most probable. Z test (Z-score) is used to measure more than 30 population. T-test is used to measure less than 30 population.  This two statistical test are used to find the variances of two normal distributions which are unknown.

3. F Statistic

Analysis of variance (ANOVA) is the procedure used when there are more than two levels of independent variable to investigate. F-statistic is a value resulting from a standard statistical test used in ANOVA and regression analysis to determine if the variances between the means of two populations are significantly different.

4.  Correlation and Regression

Correlation measures the relative position congruence between two variables. Regression allows the use of the relationship in the prediction of one variable given a score on the other variable.

5.  Chi-Square

Chi-square is a statistical test commonly used to compare observed data with data we would expect to obtain according to a specific hypothesis.  The one-way or one-variable chi-square test is also known as the goodness-of-fit test. This test compares a set of observed frequencies (O) with a set of expected frequencies (E)
Degrees of freedom (df) = n-1 where n is the number of classes
Chi-Square Formula


Lovelots, Bye for now ♥

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  1. Well, Statistics drove me insane too so I guess it's not impossible that it will do the same to you. 😛
    Glad to have found your blog. 🙂

  2. Hi, Lux

    It might be too late to reply, but I just want to say thanks for dropping by. I'm so please you found my blog. 🙂 God bless. 🙂

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