BIO401 Midterm Subjective Solved

BIO401 Mid Term Solve · Subjective · Welcome To vuways Study Help · BIO 401 Solved

1.

What are outlier?

Unusual data values as compared to the rest of the set. They may be distinguished by gaps in a histogram.

2.

Name of probability sampling design?

Simple random sampling Stratified sampling Systematic sampling Cluster (area) sampling Multistage sampling

3.

Difference between qualitative quantative variables?

Quantitative Variables It can be measured in the usual sense. For example: - the heights of adult males,

• the weights of preschool children, - the ages of patients seen in a - dental clinic.

Qualitative Variables Many characteristics are not capable of being measured. Some of them can be ordered or ranked. For example: - classification of people into socioeconomic groups, -social classes based on income, education, etc

4.

What are shapes of distribution?

Symmetric • Data is symmetric if the left half of its histogram is roughly a mirror image of its right half. Skewed • Data is skewed if it is not symmetric and if it extends more to one side than the other. Uniform • Data is uniform if it is equally distributed (on a histogram, all the bars are the same height or approximately the same height).

5.

What is data and what are difference source of data?-

The raw material of Statistics is data. We may define data as figures. Figures result from the process of counting or from taking a measurement. For example: - When a hospital administrator counts the number of patients (counting). - When a nurse weighs a patient (measurement)

Sources:

Routinely kept records. External sources. Surveys: Experiments

6.

What is frequency distribution and frequency histogram?

Frequency Distribution • A table that organizes data values into classes or intervals along with number of values that fall in each class (frequency, f ). 1. Ungrouped Frequency Distribution – for data sets with few different values. Each value is in its own class. 2. Grouped Frequency Distribution: for data sets with many different values, which are grouped together in the classes.

Frequency Histogram • A bar graph that represents the frequency distribution. • The horizontal scale is quantitative and measures the data values. • The vertical scale measures the frequencies of the classes. • Consecutive bars must touch.