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WorksheetsMMW REVIEWER OCT 9 2023
Total questions: 33
Worksheet time: 33mins
is the branch of science that deals with studies involving collection, organization. presentation. analysis, interpretation, and drawing Conclusions from the data.
Statistics
Trigonometry
Algebra
Chemistry
consists of the collection, organization, presentation and analysis of data.
Descriptive statistics
Inferential statistics
Ordinal
Interval
consists of higher degree of analysis, interpretation and inferences.
Inferential statistics
Descriptive statistics
Interval
Ordinal
is a characteristic of a population on sample which makes one different from the other.
Variable
Population
Sample
Group
refers to a large collection of objects, persons, or things.
Population
Variable
Sample
Group
is a part of a population that has the same characteristics of the given population.
Sample
Variable
Population
Group
are data that can be placed into categories according to their characteristics or attributes.
Qualitative data
Quantitative data
Descriptive data
Inferential data
are data which are numerical in nature. These data can be ordered or ranked.
Quantitative data
Qualitative data
Descriptive data
Inferential data
assumes values that can be counted and their values are represented by counting numbers only.
Discrete variables
Continuous variables
Independent variables
Dependent variables
is one which can assume all values between any two Specific values or intervals. The values are obtained through measurement.
Continuous variables
Discrete variables
Dependent variables
Independent variables
is affected or influenced by another variable.
Dependent variables
Independent variables
Discrete variables
Continuous variables
is the staggered food supply and the dependent variable is the secluded patient.
Independent variables
Dependent variables
Discrete variables
Continuous variables
is a value or measure obtained from a population. If one uses the mean, median, mode & standard deviation to differentiate the achievement of a class from another class, then these measures are parameters.
Parameter
Statistic
Ordinal
Continuous
is any value or measurement obtained from a sample. It is an estimate of the parameter.
Statistic
Parameter
Interval
Continuous
classifies data in non-overlapping scale. This scale distinguishes one object from another object for identifying purposes only.
Nominal level of measurement
Ordinal level of measurement
Interval level of measurement
Ratio level of measurement
classifies data into some Specified order or rank.
Ordinal level of measurement
Nominal level of measurement
Interval level of measurement
Ratio level of measurement
Specifies the precise difference between or among the values of ranks.
Interval level of measurement
Nominal level of measurement
Ordinal level of measurement
Ratio level of measurement
has the same characteristics as the interval level; the only difference is that the ratio level always starts from zero.
Ratio level of measurement
Interval level of measurement
Ordinal level of measurement
Nominal level of measurement
The researcher makes direct and personal contact with the interviewee. The researcher gathers data by asking the interviewee Series of questions.
Interview method
Questionnaire method
Registration method
Experimental method
The researcher distributes the questionnaires either personally or by mail and collects them by the same process. The researcher can save a lot of time and energy.
Questionnaire method
Registration method
Experimental method
Observation method
This method of collecting data is governed by our existing laws.
Registration method
Experimental method
Observation method
Texting method
is used to find out the cause and effect relationship of certain phenomena under controlled conditions.
Experimental method
Observation method
Texting method
Interview method
The researcher may observe subjects individually or group of individuals to obtain data and information related to the objectives of the investigation.
Observation method
Texting method
Interview method
Questionnaire method
The researcher may ask or invite individuals to send text opinions on certain issues or Send in their choices on their brand preferences on a particular product using their cellphones.
Texting method
Interview method
Questionnaire method
Registration method
is also known as raffle. Each member of the population is numbered on a piece of paper. the pieces of paper shall be identical and rolled evenly. they are placed in a lottery box and shaken very well the desired number of samples are drawn. one after the other, with eyes away from it.
Lottery sampling
Table of random numbers
Systematic sampling
Stratified sampling
is used to draw the numbers for the sample. Suppose in a class of 30 students, 5 will be Selected at random and transferred to another class. Then, if the first 2-digit number of the random numbers is 26, the number 26 of the class is the first sample. the process is continued until the 5th number is chosen.
Table of random numbers
Systematic sampling
Stratified sampling
Cluster sampling
This is done by numbering each element of the population.
Systematic sampling
Stratified sampling
Cluster sampling
Multi-stage sampling
We obtain samples by dividing the population into strata(groups). If the desired sample is 50 and there are 10 strata, then we obtain the sample proportionately from each stratum. The bigger the strata. the more number of Samples are taken.
Stratified sampling
Cluster sampling
Multi-stage sampling
Lottery sampling
This is sometimes called AREA SAMPLING because it is used for a large population. We select members of the sample by area; then we select each area by lottery sampling.
Cluster sampling
Multi-stage sampling
Lottery sampling
Table of random numbers
We use combinations of Several random sampling techniques in getting the sample from a very large population. This is done by dividing the whole population by area, and then each area into strata. Thereafter, from each stratum, we get the sample by using the simple random sampling technique.
Multi-stage sampling
Lottery sampling
Table of random numbers
Systematic sampling
This is used because it is Convenient to the researcher.
Convenience sampling
Quota sampling
Purposive sampling
Questionnaire sampling
the researcher uses the proportions of different strata; and from the strata, Selections are done using quota.
Quota sampling
Convenience sampling
Purposive sampling
Stratified sampling
The researcher gets his sample from the respondents purposely elated or close to him.
Purposive sampling
Quota sampling
Convenience sampling
Cluster sampling
