# QNT 275 Week 1 Apply Connect Week 1 Exercise

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QNT 275 Week 1 Apply Connect Week 1 Exercise

Review the glossary in your textbook in preparation for this assignment.

Complete the Week 1 Exercise in Connect.

Note: You have only 1 attempt available to complete assignments.

1.

Define Ratio Variable.

A variable having values that are numbers which reflect quantities or measurements.

A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population.

A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value.

Facts and figures from which conclusions may be drawn, generally for a specific study or issue.

2.

Define Inferential Statistics.

Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results.

The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values.

A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum).

A sample selected in such a way that every element in the population has an equal chance of being selected.

3.

Define Variable.

A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population.

A variable having values that indicate into which of several categories the value for the respective sample or population element belongs.

Data collected over several time periods.

A variable having values that are numbers which reflect quantities or measurements.

4.

Define Stratified Sampling.

Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results.

A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum).

A qualitative variable value for which there is no ordering or ranking; data values are not numerical and fit into categories.

A qualitative variable value for which there is ordering or ranking.

5.

Define Sample.

The process of organizing and describing important elements of a set of values.

A sample selected in such a way that every element in the population has an equal chance of being selected.

The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values.

A subset of the elements in a population.

6.

Define Ordinal Variable.

A quantitative variable such that ratios of its values are not meaningful and for which there is not an inherently defined zero value.

Facts and figures from which conclusions may be drawn, generally for a specific study or issue.

A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value.

A qualitative variable value for which there is ordering or ranking.

7.

Define Descriptive Statistics.

The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values.

A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum).

The process of organizing and describing important elements of a set of values.

A sample selected in such a way that every element in the population has an equal chance of being selected.

8.

Define Random Sampling.

A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum).

A sample selected in such a way that every element in the population has an equal chance of being selected.

A qualitative variable value for which there is no ordering or ranking; data values are not numerical and fit into categories.

Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results.

9.

Define Qualitative Variable.

A variable having values that indicate into which of several categories the value for the respective sample or population element belongs.

Data collected over several time periods.

The set of all elements about which we want to draw conclusions.

A subset of the elements in a population.

10.

Define Interval Variable.

Facts and figures from which conclusions may be drawn, generally for a specific study or issue.

A quantitative variable such that ratios of its values are not meaningful and for which there is not an inherently defined zero value.

A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value.

A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population.

QNT 275 Week 1 Apply Connect Week 1 Exercise

Review the glossary in your textbook in preparation for this assignment.

Complete the Week 1 Exercise in Connect.

Note: You have only 1 attempt available to complete assignments.

1.

Define Ratio Variable.

A variable having values that are numbers which reflect quantities or measurements.

A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population.

A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value.

Facts and figures from which conclusions may be drawn, generally for a specific study or issue.

2.

Define Inferential Statistics.

Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results.

The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values.

A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum).

A sample selected in such a way that every element in the population has an equal chance of being selected.

3.

Define Variable.

A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population.

A variable having values that indicate into which of several categories the value for the respective sample or population element belongs.

Data collected over several time periods.

A variable having values that are numbers which reflect quantities or measurements.

4.

Define Stratified Sampling.

Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results.

A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum).

A qualitative variable value for which there is no ordering or ranking; data values are not numerical and fit into categories.

A qualitative variable value for which there is ordering or ranking.

5.

Define Sample.

The process of organizing and describing important elements of a set of values.

A sample selected in such a way that every element in the population has an equal chance of being selected.

The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values.

A subset of the elements in a population.

6.

Define Ordinal Variable.

A quantitative variable such that ratios of its values are not meaningful and for which there is not an inherently defined zero value.

Facts and figures from which conclusions may be drawn, generally for a specific study or issue.

A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value.

A qualitative variable value for which there is ordering or ranking.

7.

Define Descriptive Statistics.

The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values.

A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum).

The process of organizing and describing important elements of a set of values.

A sample selected in such a way that every element in the population has an equal chance of being selected.

8.

Define Random Sampling.

A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum).

A sample selected in such a way that every element in the population has an equal chance of being selected.

A qualitative variable value for which there is no ordering or ranking; data values are not numerical and fit into categories.

Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results.

9.

Define Qualitative Variable.

A variable having values that indicate into which of several categories the value for the respective sample or population element belongs.

Data collected over several time periods.

The set of all elements about which we want to draw conclusions.

A subset of the elements in a population.

10.

Define Interval Variable.

Facts and figures from which conclusions may be drawn, generally for a specific study or issue.

A quantitative variable such that ratios of its values are not meaningful and for which there is not an inherently defined zero value.

A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value.

A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population.

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