This quiz contains MCQs Skewness and Kurtosis covering the shape of the distribution, Measures of central tendency such as mean, median, mode, Weighted mean, data and type of data, sources of data, Measures of Dispersion/ Variation, Standard Deviation, Variance, Range, and measure of position, etc. Let us start the MCQs Skewness and Kurtosis Quiz.
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Basic statistics deals with the measure of central tendencies (such as mean, median, mode, weighted mean, geometric mean, and Harmonic mean) and measures of dispersion (such as range, standard deviation, and variances).
Basic statistical methods include planning and designing the study, collecting data, arranging, and numerical and graphically summarizing the collected data.
Basic statistics are also used to perform statistical analysis to draw meaningful inferences.
A basic visual inspection of data using some graphical and numerical statistics may give some useful hidden information already available in the data. The graphical representation includes a bar chart, pie chart, dot chart, box plot, etc.
Companies related to finance, communication, manufacturing, charity organizations, government institutes, simple to large businesses, etc. are all examples that have a massive interest in collecting data and measuring different sorts of statistical findings. This helps them to learn from the past, noticing the trends, and planning for the future.
Various graphical and numerical ways are used to check the skewness of the data. Skewness is the lack of symmetry in distribution.
MCQs Skewness and Kurtosis
- When a distribution is symmetrical and has one mode, the highest point on the curve is called the
- If the moment Ratio $\beta_2=3$ then the distribution is
- For a symmetrical distribution
- The degree to which numerical data tend to spread out about an average value is called
- In symmetrical distribution if $Q_1=4, Q_3=12$ then median is
- The first three moments of a distribution about the mean $\overline{X}$ are 1, 4, and 0. The distribution is
- The distribution is positively skewed if
- In Symmetrical distribution $Q_3-Q_1=20$, Median = 15, $Q_3$ is equal to
The degree to which numerical data tend to spread out about an average value is called? Kindly confirm it’s answer
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Correction is made. It should be standard deviation or variance.
I think your option for question number 2 is wrong.
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