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• Skewness = 0 (Symmetric), positive (Skewed to the right), negative (Skewed to the left)Kurtosis is positive (Leptokurtic), Kurtosis is negative (Platykurtic)Standard deviation shows how much variation there is from the &quot;average&quot;.
• ### Advanced Excel, Day 4

1. 1. By Khaled Al-Shamaa
2. 2. Text to Columns (1) Use the Convert Text to Columns Wizard to separate simple cell content, such as first names and last names, into different columns. Depending on your data, you can split the cell content based on a delimiter, such as a space or a comma, or based on a specific column break location within your data. 2
3. 3. Text to Columns (2) 3
4. 4. Pivot Table (1) A pivot table is a cross-tabulation, it is another way of looking at the data. The importance of pivot tables is that they allow you to get your hands dirty with the data. By dropping fields into and out of the table, you might see relationships and carry out analyses that might not occur to you if you just look at the original database. 4
5. 5. Pivot Table (2) 5
6. 6. Pivot Table (3) 6
7. 7. Advanced Scatter Plot (1) We linear regression to determine the relationship between one variable, x, and another variable, y. The scatter plot is a graph that represents each individual measured on both x and y as a point. Right-click any of the points in the scatter plot will open the pop-up menu, select "Add Trendline" option to open a dialog box. Select the Linear radio button and click the Display Equation and Display R-Squared checkboxes. 7
8. 8. Advanced Scatter Plot (2) 8
9. 9. Installing Analysis ToolPak (1) To install an Add-In in Excel 2007 you need to click the Office button and press the Excel Options button. From the options dialog select the Add-In section. Select Excel-Add-ins from the Manage drop list and then press the Go... button. From the Add-Ins dialog select Analysis ToolPak checkbox then click on OK button. 9
10. 10. Installing Analysis ToolPak (2) 10
11. 11. Descriptive Statistics (1) Measures of central tendency and variability are good ways of summarizing data, but they aren’t the only ways. Some descriptive statistics are intuitive (like count, max, min), some are not (like skewness and kurtosis).  The variance tells you how spread out the scores are.  Skewness indicates how symmetrically the scores are distributed.  Kurtosis shows you whether or not your scores are distributed with a peak in the neighborhood of the mean. 11
12. 12. Descriptive Statistics (2) 12
13. 13. Correlation (1) Correlation is a statistical way of looking at a relationship. When two things are correlated, it means that they vary together:  A correlation of –1 represents perfect negative correlation.  A correlation of +1 represents perfect positive correlation.  A correlation of 0 means that the two variables are not related. 13
14. 14. Correlation (2) 14
15. 15. Regression (1) One of the main things you do when you work with statistics is make predictions. The idea is to take data on one or more variables, and use these data to predict a value of another variable. In mathematics, a line is a way to picture a relationship between an independent variable (x) and a dependent variable (y). The slope (a) is the number that multiplies x and the intercept (b) is the number you add to x. y=a+b.x 15
16. 16. Regression (2) 16
17. 17. Thank You 17 17