Business Statistics and Research Methods MCQs

According to the central limit theorem, the sampling distribution of the mean can be approximated by the normal distribution:

In small samples, we use relatively . . . . . . . . confidence intervals as the results of small samples usually vary widely from sample to sample.

Calculation of arithmetic mean by short-cut and step-deviation method is based on assumed mean, which is taken/selected from

Match List-I with List-II: List-I List-II a. $$j = \frac{{\overline X - {M_Q}}}{\sigma }$$ 1. Kelly's coefficient of skewness b. $$j = \frac{{{Q_3} - {Q_1} - 2{M_Q}}}{{{Q_3} - {Q_1}}}$$ 2. Bowley's measure of skewness c. $$j = \frac{{{P_{90}} + {P_{10}} - 2{P_{50}}}}{{{P_{90}} - {P_{10}}}}$$ 3. Karl Pearson's coefficient of skewness Choose the correct option from those given below:

Which of the following relation is correct?

For the discrete variables, more suitable class intervals are

Match the items in List-I with items in List-II. List-I List-II a. Level of significance 1. Sample mean is equal to population mean b. Standard deviation of sampling distribution 2. Parameters c. Numerical value that describes the characteristics of the population 3. Type-I error d. Normally-distributed population 4. Standard error

Match the following. List-I List-II a. Fisher 1. Inverse probability b. Karl Pearson 2. Normal distribution c. Thomas Baye's 3. Correlation coefficient d. Kari Gaus 4. Index number

State the arithmetic mean of the following distribution: X (Series) : 145 155 165 175 F (Frequency) : 10 12 15 10