Teachoo Quiz

10 Question MCQ (including Assertion)

Chapter 13 Class 11 Statistics | 10 questions | about 8 minutes

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Question 1 of 10
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Question 1 of 10
Calculate the standard deviation of the first \(10\) odd natural numbers (\(1, 3, 5, 7, 9, 11, 13, 15, 17, 19\)).
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Question 2 of 10
Assertion (A): A standardized variable \(z_i = \frac{x_i - \bar{x}}{\sigma_x}\) created from dataset \(X\) has mean \(\bar{z} = 0\) and variance \(\sigma_z^2 = 1\).
Reason (R): Standardizing a variable converts raw observations into standard deviation units measured relative to the mean.
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Question 3 of 10
Calculate the mean deviation about mean for the continuous distribution: $$\begin{array}{|c|c|c|c|c|} \hline \text{Class} & 0-10 & 10-20 & 20-30 & 30-40 \\ \hline \text{Frequency } f_i & 2 & 3 & 3 & 2 \\ \hline \end{array}$$
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Question 4 of 10
Investment Fund P has average return \(\bar{x}_P = 12\%\) with \(\sigma_P = 2\%\). Fund Q has average return \(\bar{x}_Q = 15\%\) with \(\sigma_Q = 5\%\). Calculate the Coefficients of Variation \(C.V._P\) and \(C.V._Q\).
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Question 5 of 10
Assertion (A): If each observation in a dataset \(x_1, x_2, \dots, x_n\) is increased by a constant \(k = 5\), the variance of the resulting new dataset remains equal to the variance of the original dataset.
Reason (R): Adding a constant \(k\) to each observation shifts the mean by \(k\), so the individual deviations \((y_i - \bar{y}) = (x_i + k) - (\bar{x} + k) = x_i - \bar{x}\) remain completely unchanged.
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Question 6 of 10
Assertion (A): The mean deviation about median for the dataset \(3, 3, 4, 5, 7, 9, 10, 12, 18, 19, 21\) is equal to \(5.27\).
Reason (R): For an odd number of observations \(n\), the median is given by the \((\frac{n+1}{2})^{\text{th}}\) observation when ordered.
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Question 7 of 10
Temperature readings \(x_i\) have a standard deviation \(\sigma_x = 4.8\,^\circ\text{C}\). The values are transformed using \(y_i = \frac{x_i - 10}{2}\). Calculate the standard deviation of \(y_i\) (\(\sigma_y\)). x₁x₂ (Shift origin -10, scale 1/2)x₃
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Question 8 of 10
The standard deviation of \(x_1, x_2, \dots, x_n\) is \(\sigma_x = 6\). Calculate the standard deviation of \(y_i = -2x_i + 5\).
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Question 9 of 10
Calculate the mean deviation about the median for the dataset: \(3, 9, 5, 3, 12, 10, 18, 4, 7, 19, 21\).
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Question 10 of 10
Assertion (A): The variance of the first \(n\) natural numbers is \(\frac{n^2 - 1}{12}\).
Reason (R): The sum of the first \(n\) natural numbers is given by \(\sum_{i=1}^n i = \frac{n(n+1)}{2}\).
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