Skewness & Kurtosis Challenge

Froggy Jumps

(6)

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Quiz on skewness and kurtosis

Créé par

Kris Conrad Santiago

Philippines

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Froggy Jumps Skewness & Kurtosis ChallengeVersion en ligne Quiz on skewness and kurtosis par Kris Conrad Santiago 1 Skewness measures the asymmetry of a data distribution. a False b Not applicable c True 2 The skewness of a perfect normal distribution is zero. a True b Not applicable c False 3 Positive skewness means the tail on the left side is longer. a True b Not applicable c False 4 Kurtosis measures the peakedness or tailedness of a distribution. a Not applicable b False c True 5 In leptokurtic distributions, tails are heavier than normal. a True b False c Not applicable 6 A platykurtic distribution has a flatter peak than a normal distribution. a True b Not applicable c False 7 Skewness can be zero even if the distribution is bimodal. a True b Not applicable c False 8 Excess kurtosis of 0 indicates a normal distribution. a True b False c Not applicable 9 Skewness cannot be affected by scale changes. a Not applicable b False c True 10 Kurtosis is more sensitive to outliers than skewness. a Not applicable b True c False

Froggy Jumps

Skewness & Kurtosis ChallengeVersion en ligne

Quiz on skewness and kurtosis

par Kris Conrad Santiago

Skewness measures the asymmetry of a data distribution.

False

Not applicable

True

The skewness of a perfect normal distribution is zero.

True

Not applicable

False

Positive skewness means the tail on the left side is longer.

True

Not applicable

False

Kurtosis measures the peakedness or tailedness of a distribution.

Not applicable

False

True

In leptokurtic distributions, tails are heavier than normal.

True

False

Not applicable

A platykurtic distribution has a flatter peak than a normal distribution.

True

Not applicable

False

Skewness can be zero even if the distribution is bimodal.

True

Not applicable

False

Excess kurtosis of 0 indicates a normal distribution.

True

False

Not applicable

Skewness cannot be affected by scale changes.

Not applicable

False

True

Kurtosis is more sensitive to outliers than skewness.

Not applicable

True

False

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Skewness & Kurtosis Challenge

Froggy Jumps

À propos de cette activité

Créé par

Téléchargez la version pour jouer sur papier

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Skewness & Kurtosis ChallengeVersion en ligne

par Kris Conrad Santiago

Skewness measures the asymmetry of a data distribution.

The skewness of a perfect normal distribution is zero.

Positive skewness means the tail on the left side is longer.

Kurtosis measures the peakedness or tailedness of a distribution.

In leptokurtic distributions, tails are heavier than normal.

A platykurtic distribution has a flatter peak than a normal distribution.

Skewness can be zero even if the distribution is bimodal.

Excess kurtosis of 0 indicates a normal distribution.

Skewness cannot be affected by scale changes.

Kurtosis is more sensitive to outliers than skewness.

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