|
7 | 7 | "provenance": [], |
8 | 8 | "toc_visible": true, |
9 | 9 | "mount_file_id": "169nmvb6BRtM1iuwSAjQAQkHHTN4vlLUb", |
10 | | - "authorship_tag": "ABX9TyPC1qnmMtTXCSlvgOfy+WUt", |
| 10 | + "authorship_tag": "ABX9TyM8L7Kjy2/6RTnZCwbkXraO", |
11 | 11 | "include_colab_link": true |
12 | 12 | }, |
13 | 13 | "kernelspec": { |
|
368 | 368 | "source": [ |
369 | 369 | "# **Measurement of central tendency spread and shape -2**\n", |
370 | 370 | "\n", |
371 | | - "If histogram is symmetricalgo for emphirical rule\n", |
| 371 | + "If histogram is symmetrical go for emphirical rule\n", |
372 | 372 | "otherwise chebyshev's rule." |
373 | 373 | ] |
374 | 374 | }, |
|
381 | 381 | "source": [ |
382 | 382 | "# **Shape of data**\n", |
383 | 383 | "\n", |
384 | | - "\n" |
385 | | - ] |
386 | | - }, |
387 | | - { |
388 | | - "cell_type": "markdown", |
389 | | - "metadata": { |
390 | | - "id": "l9Csw3MYbVZf", |
391 | | - "colab_type": "text" |
392 | | - }, |
393 | | - "source": [ |
394 | | - "# **The Emphirical Rule**\n", |
| 384 | + "\n", |
| 385 | + "\n", |
| 386 | + "\n", |
| 387 | + " **The Emphirical Rule**\n", |
395 | 388 | "\n", |
396 | 389 | "\n", |
397 | 390 | "\n", |
398 | 391 | "\n", |
399 | | - "#**Chebyshev's rule**\n", |
| 392 | + "**Chebyshev's rule**\n", |
400 | 393 | "It states that for any data set, regardless of shape percentage of values found within distance of k(standard deviation) from the mean must be at least.\n", |
401 | | - "[1-1/k(square)]*100 , k>1\n" |
| 394 | + "[1-1/k(square)]*100 , k>1" |
402 | 395 | ] |
403 | 396 | }, |
404 | 397 | { |
|
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