The section, EDAIC MCQ (Multiple Choice Question) and answer, covers a different topic each day with the intent that candidates can prepare one small topic each day, making steady progress in their exam preparation.
Question: Regarding a normal Gaussian distribution, which of the following statements are true
- 95% of observations lie between mean +/- 2 SD
- A maximum of 25% observations lie between mean +/- 1 SD
- Data should be transformed logarithmically before analysis
- Mean, median and mode coincide
- 95% confidence interval can be calculated as a product of 1.96 and SD of the population, given n > 30
Answers:
-
- true
- false
- false
- true
- false
Explanation:
The Gaussian or normal distribution is the most important frequency distribution in statistics
properties:
- Symmetrical about the mean
- Mean, mode and median coincide
- Empirical rule
In normally distributed data, there is a constant proportion of distance lying under the curve between the mean and a specific number of standard deviations from the mean. For example,- 68.25% of all cases fall within +/- one standard deviation from the mean (Therefore, 34 % of observations will lie between mean and mean + 1 SD).
- 95% of all cases fall within +/- two standard deviations from the mean, while
- 99% of all cases fall within +/- three standard deviations from the mean.
Normal distribution data does not need logarithmic transformation before parametric tests because of symmetrical distribution
- For n > 30, the 95% confidence intervals can be calculated as a product of SEM (standard error of the mean) and 1.96
- If n<30, Confidence Interval = x̄ ± tc(S/√n)Where,
- n = Number of terms
- x̄ = Sample Mean
- S = sample standard deviation
- tc = Value corresponding to confidence interval in t table
Statistics module by targetedaic
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‘EDAIC MCQ (Multiple Choice Question) and answer’ covers a different topic each day with the intent that candidates can prepare one small topic each day, making steady progress in their exam preparation.
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