Question

. Definitions: (do not have to turn in)a. Datab. Statisticsc. Populationd. Samplee. Voluntary response samplef. Parameterg. Statistich. Quantitative datai. Qualitative dataj. Discrete datak. Continuous datal. Nominal level of measurementm. Ordinal level of measurementn. Interval level of measuremento. Ratio level of measurementp. Simple random sampleq. Systematic samplingr. Convenience samplings. Stratified samplingt. Cluster sampling

Answer 1

(a) Data is defined as facts or figures from which conclusions can be drawn

(b) Statistics is defined as the science of collecting and analyzing numerical data.

(c) Population is defined as the set of similar items which is of interest for some experimentation.

(d) Sample is defined as the set of data selected from a population by a defined procedure.

(e) Voluntary response sample is defined as a sample made up of volunteers, self select in the survey.

(f) Parameter is defined as the characteristic of the population.

(g) Statistic is the characteristic of the sample.

(h) Quantitative data is defined as the data that can be measured numerically.

(i) Qualitative data is defined as the data that cannot be measured numerically.

(j) Discrete data is defined as data defined only for a specified values

(k) Continuous data is defined as data defined for all values

(l) Nominal level of measurement is defined as labelling variable.

(j) Ordinal level of measurement is when the order of the values is significant.

(k) Interval level of measurement are numeric scale, where 0 has no meaning.

(l) Ratio level of measurement are numeric scale where 0 has meaning.

(m) Simple Random Sampling is a sample where each element has the same probability of selection.

(n) Systematic Sampling is a sampling technique in which sample members are selected according to a random starting point and at a fixed interval.

(o) Convenience Sampling is a non-statistical sampling technique in which the sample is taken at the convenience of the researcher.

(p) Stratified sampling is a sampling technique in which the population is divided into several strata and sample is selected from each stratum.

(q) Cluster sampling is a sampling technique in which the population is divided into several clusters and sample is selected from a randomly selected cluster.