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Business Statistics and Research Methods
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The numerical value of the standard deviation can never be negative. The positive square root of the mean of the squares of the deviations of observations from their mean is called:

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Which of the statement(s) are true about 'measures of dispersion'?
1.The divergence of a set of observation
2. The concentration of a set of observation

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Primary data collected through direct personal interview is suitable for:

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The first three moments of a distribution about the mean X are 1, 4 and 0. The distribution is:

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Mode is a positional average which is used to deal with which type of data?
1. Quantitative data
2. Qualitative data

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Assertion (A) The two lines of regression can never be parallel.
Reason (R) The two lines of regression always pass through common point (x · y). Therefore, they can never be parallel.

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Statistical mean, which is not affected by extreme values

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The farther the two regression lines cut each other

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Which of the following is correct in a negatively skewed distribution?

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Which of the following conditions need to be fulfilled for applicability of T- test?

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Statistical average has significance due to following sequence.
1. To present huge mass of data ina summarised form.
2. To facilitate comparison of different sets of data.
3. To help decision-making.
Select the correct answer using the options given below

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We call the classification of employees on the basis of education and attributes

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If unexplained variation between variables X and Y is 36%, what is the coefficient of correlation between the variables?

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Consider the following statements.
Statement-I: When a null hypothesis gets rejected in statistical hypothesis testing, it is known as II type error in hypothesis testing.
Statement-II: When a sample is small sized and parametric value of the standard deviation is not known, z-test is the most appropriate test for hypothesis testing.

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Goodness of fit of a distribution is tested by:

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The most important factors causing seasonal variations are

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Regression model is a statistical framework for developing a mathematical equation that describes how:

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Which of the following statement(s) is/are correct?

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If the number of observations is such that nx ny is large (n > 20), a normal approximation can be used with

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Positive perfect correlation is

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