Kurtosis has nothing to do with peak. You can have infinitely peaked distributions with very low kurtosis, and you can have low, perfectly flat-topped distributions with very high kurtosis. Examples are given on the current Wikipedia page. Kurtosis measures tails only.
While it's true that kurtosis primarily measures the heaviness of the tails rather than the peak, it's a common misconception to equate kurtosis directly with peak height. Kurtosis reflects the distribution's tail behavior relative to a normal distribution, and while extreme peaks and flatness can coincide with various levels of kurtosis, they are not definitive indicators of it. It's essential to interpret kurtosis in the context of tail extremity and potential outliers, not just the shape of the peak.
Knowing the shape of a frequency distribution is important because it helps identify patterns, such as skewness and kurtosis, which influence statistical analyses and decision-making.
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01. B
02. D
03. A
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@@xy0988 thanks 🙏
1. A
2. D
3. A
B,D,A .. Also Thankyou so much the video is perfect 😍
Thanks a lot. Glad I could help 😊
1. B 2. D 3. A
thanks this really helped
Welcome
1B
2C
3A
1)A
2)C
3)A
@@althafsanam 2) D
Partially correct . Please try again
1.B
2.D
3.B
Kurtosis has nothing to do with peak. You can have infinitely peaked distributions with very low kurtosis, and you can have low, perfectly flat-topped distributions with very high kurtosis. Examples are given on the current Wikipedia page. Kurtosis measures tails only.
While it's true that kurtosis primarily measures the heaviness of the tails rather than the peak, it's a common misconception to equate kurtosis directly with peak height. Kurtosis reflects the distribution's tail behavior relative to a normal distribution, and while extreme peaks and flatness can coincide with various levels of kurtosis, they are not definitive indicators of it. It's essential to interpret kurtosis in the context of tail extremity and potential outliers, not just the shape of the peak.
1)A
2)D
3)A
Tomorrow will be my numerical method exam 😌
Hope this video helps for your exam! 😊
Answers are B, D, A
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Same to you
Q1. B
Q2. D
Q3. B
B, D, A
Why is knowing about shape of frequency distribution important?
Knowing the shape of a frequency distribution is important because it helps identify patterns, such as skewness and kurtosis, which influence statistical analyses and decision-making.
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1b
Correct
A,D,A
1)A
2)D
3)B
B. D. B
A
D
A
A
D
A
1.A
2.D
3.A
1.A 2.B 3.A
B,D,A
1. B 2. D 3. A