SSC CGL Tier 2 28th January 2022 Statistics

Instructions

For the following questions answer them individually

SSC CGL Tier 2 28th January 2022 Statistics - Question 31


If the exponential distribution is given as $$f\left(x\right) = x^{-x};0 \leq x \leq \infty$$, then the Pearson's constant $$\beta_{1}$$ (excess kurtosis) is:

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SSC CGL Tier 2 28th January 2022 Statistics - Question 32


For ANOVA two-way classification to test two types of cloth in fashion trends, we have the following table.

The value of $$\gamma$$ is:

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SSC CGL Tier 2 28th January 2022 Statistics - Question 33


Boy child is more probable than girl child to a couple in 2019. A random sample found 224 boys were born among 400 newborn children. For this sample evidence that the birth of boys is more common than the birth of girls in the entire couple population, the value of test statistics is:

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SSC CGL Tier 2 28th January 2022 Statistics - Question 34


We measure ten units from the latest production lot to measure the length of the product that gives the sample mean to be 17.55 inches, and the sample standard deviation to be 1.0 inch. The 95%, confidence interval for the population mean is:

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SSC CGL Tier 2 28th January 2022 Statistics - Question 35


The cost of living index numbers are used to determine actual salaries by the procedure of:

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SSC CGL Tier 2 28th January 2022 Statistics - Question 36


Which of the following options is NOT an example of absolute measures of dispersions?

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SSC CGL Tier 2 28th January 2022 Statistics - Question 37


In averaging the price relatives, which of the following options is the most appropriate average?

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SSC CGL Tier 2 28th January 2022 Statistics - Question 38


If each group comprises of one observation only, the value of the correlation ratio is:

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SSC CGL Tier 2 28th January 2022 Statistics - Question 39


For a randomised block design ANOVA test with 5 treatments group and 6 blocks, the error degrees of freedom are:

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SSC CGL Tier 2 28th January 2022 Statistics - Question 40


The median of a Weibull distribution with shape parameter k and scale parameter $$\lambda$$ is:

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