Sun21November0420PM 2

You are studying the measurement of a new biomarker for cardiovascular disease and how it might be applied to preoperative screening.

You assume that the data for this particular biomarker are likely to be normally distributed.

When considering the normal distribution, which one of the following options is true?

(Please select 1 option)

95% of observations lie within the mean and 1 standard deviation

Data with a tail of values which is greater than the upper end of the distribution are normally distributed

Data need to be transformed before they can be analysed with parametric tests

The mean, median and mode are the same value Correct

The 95% confidence interval tells us how confident we are in the test

Explanation

The mean and median and mode of a normal distribution are equal because the distribution curve of a normal distribution is bell shaped and equal on both sides.

Mu (µ) and sigma (s) which symbolize the mean and the standard deviation respectively of a probability distribution.

The probability that a normally distributed random variable x, lies between (µ - 1.96 s) and (µ + 1.96 s) is 0.95.

The probability that a normally distributed random variable x, lies between (µ - s) and (µ + s) is 0.68.

Ninety five per cent of the distribution of sample means lie within 1.96 standard deviations of the population mean.

A parametric test is a statistical test which assumes the data are normally distributed.

Answer Statistics

1

18%

2

2%

3

6%

4

69%

5

8%

Times answered: 227