# Nursing quiz

##### Nursing Research Quiz -2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

#### Nursing Research Quiz - 2

##### Biostatistics

1. The variable in an experiment that is known from the start and does not change is called the:

A. dependent variable.

B. extraneous variable.

C. independent variable.

D. confounding variable.

2. Type I errors occur:

A. when the null hypothesis is rejected but it should have been retained.

B. accepting the null hypothesis when it should have been rejected.

C. considering the alternate hypothesis as false when it actually it was true .

D. when the obtained p-value is higher than 0.05.

3. How many degrees of freedom would a table with 3 rows and 2 columns have?

A. 2

B. 1

C. 3

D. 4

4. Determining the Degrees of Freedom for a 2X2 contingency table for Chi-squire distribution is:

A. 4

B. 2

C. 0.05

D. 1

5. The degree of flatness or peakedness of a graph of a frequency distribution is termed as:

A. standard deviation

B. kurtosis

C. skewness

D.  mode

6. In a negatively skewed distribution, the mean generally falls to:

A. the left of the median and the median usually lies to the left of the mode.

B. the right of the median and the median usually lies to the right of the mode.

C. the middle of median and mode.

D.  the centre of the distribution.

7. Which statement about normal distribution is FALSE:

A. 50 percent of the observations fall within one standard deviation sigma of the mean.

B. 68 percent of the observations fall within one standard deviation sigma of the mean.

C. 95 percent of observation falls within 2 standard deviations.

D. 99.7 percent of observations fall within 3 standard deviations of the mean.

8. A measure used to standardize the central tendency away from the mean across different samples is:

A. skewness

B. Range

C. Z-score

D. mode

9. Probability values fall on scale between:

A. -1 to +1

B. 0 and 1.

C. -3 to + 3

D. 0.05 to 0.01

10. Standard error is calculated by:

A. dividing standard deviation by the square root of the sample size.

B. dividing number of nominated outcome by number of possible outcome.

C. adding all the numbers and then dividing by the numbers of observations.

D. arranging the numbers in numerical order, then taking the middle one.