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  • Computing , Data Science
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LES with R – summaries data

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  • By : Mo Bahezi
  • Computing , Data Science
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LES with R – get start

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  • By : Mo Bahezi
  • Data Science , Statistics
  • 2 Comments

Evidence Based Practice – how good is the evidence?

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  • By : Mo Bahezi
  • Data Science , Statistics
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Say, “hello Data . . .”

Data The current age is marked as the “age of data”. Due to technological advancement, datafication is everywhere and the data guys are datafying almost everything whatever we observe, we see, we talk, we photo, we search, visit or share on the web, we facebook, we instagram, we tweet, the location we visit with or […]

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  • By : Mo Bahezi
  • Data Science , Statistics
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Let’s meet a Statistician

Florence Nightingale (1820-1910), known as The Lady with the Lamp, was born in May 1820 in Florence, Italy. She was a nurse by education, social reformer and best known as the founder of modern nursing. Because of her father was a wealthy landowner who inherited two estates: one in Derbyshire, other in Hampshire in England […]

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  • By : Mo Bahezi
  • Data Science , Statistics
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Hypothesis testing: test statistic, p-value and confidence interval

Test statistic is a quantity calculated based on the sample data. Based on the test-statistic value we make the decision on whether we reject the null hypothesis. With a large value of test-statistic (for every test there is a cut-off value) the null hypothesis is rejected. There are many test-statistic around. For example, Z-test, t-test, […]

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  • By : Mo Bahezi
  • Data Science , Statistics
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Hypothesis testing: clinical vs statistical hypothesis

The clinical hypothesis is generated from the objective of the research or research question. The statistical hypothesis is generated from the clinical hypothesis. From the diet study (diet dataset) the researcher’s objective is to reduce weight by applying different types of diet. Secondly, to see which diet performs better in reducing weight? The clinical hypotheses […]

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  • By : Mo Bahezi
  • Computing , Data Science
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Graphing in SPSS

To get the first insight from the data we use graphs. Dot, bar, histogram, box (which also known as box and whisker plot), and scatter plots are very useful plot types. Let us look at the table below to know which graph is suitable for what type of variable. Table 1 Common graphs by variable […]

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  • By : Mo Bahezi
  • Computing , Data Science
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Data manipulation in SPSS

Data manipulation is half of the analysis. Data manipulation means editing the data such as sorting, recoding the existing variables into new, adding labels to the data, inserting the new data, changing a specific value and many others. Some people do the data manipulation in Excel and then reopen it in SPSS for analysis. This […]

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  • By : Mo Bahezi
  • Computing , Data Science
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Loading data in SPSS

SPSS can read different types of data file such as SPSS file(*.sav), comma-delimited(*.csv), Excel spreadsheet (*.xlsx), text file(*.txt) etc. Opening data in SPSS is easy if the data is in *.sav format however for formats it is a bit tricky. Keep clicking the following menus:   File – Open – Data Command 1 Then a […]

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Chief Editor

Dr Mo Bahezi is a professional Biostatistician, academically trained (PhD) in statistics. He got the Chartered Statistician (CStat) title from the Royal Statistical Society. Dr Bahezi is a Fellow at the UK Higher Education Academy (FHEA). He also serves as an Academic Editor (AE) for the journal PLOS ONE. Dr Bahezi published more than 20 research articles in prestigious journals including The Lancet Global Health. He got more than a decade of experience working with statistical methodology development and applying in the field of medicine and public health. Dr Bahezi is working as a Lecturer in Biostatistics at a British Medical School. To solve your data or statistics problem contact at info@letsenjoystatistics.com.

A to Z articles

  • LES with R – summaries data
  • LES with R – get start
  • Evidence Based Practice – how good is the evidence?
  • Say, “hello Data . . .”
  • Let’s meet a Statistician
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