# Statistic Discussion Final

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Interferential Statistics
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Statistic Discussion
1. If you conduct a study and plan to collect scale level (interval or ratio) data for
inferential statistical analysis, would you still need to collect any nominal or ordinal data
and describe measures of central tendency or frequencies? Explain your reasoning.
When conducting a study for interferential statistical analysis one can still collect
nominal or ordinal data since interferential statistics are classified into different
parameters. Nominal level data can be classified and ordered equally to ordinal level
data. For ordinal data, classification is within a variable that has a natural rank order.
Additionally, ordinal data is analyzed into descriptive and inferential statistic s (Kaur,
Stoltzfus & Yellapu, 2018). Measures of central tendency are values that explain a set of
data by recognizing the middle position within the set. Examples of these measures
include the Mean, median, and mode.
2. How do the measures of dispersion (range and standard deviation) help you quickly
understand the difference between two sample populations that may have the same
mean?
The measures of dispersion range and standard deviation help in understanding the
difference between two sample populations with the same mean. The range symbolizes
the unpredictability of the statistics. Moreover, a dataset with a wide range has a larger
variability in contrast to a set with a small range (Kaliyadan & Kulkarni, 2019).
3. A local newspaper ran a survey by asking, “Do you support the development of a weapon
that could kill millions of innocent people?” Determine whether the survey questions are
biased and why.

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1 Running Head: DISCUSSION Interferential Statistics Name Institution Course Professor Date 2 Running Head: DISCUSSION Statistic Discussion 1. If you conduct a study and plan to collect scale level (interval or ratio) data for inferential statistical analysis, would you still need to collect any nominal or ordinal data and describe measures of central tendency or frequencies? Explain your reasoning. When conducting a study for interferential statistical analysis one can still collect nominal or ordinal data since interferential statistics are classified into different parameters. Nominal level data can be classified and ordered equally to ordinal level data. For ordinal data, classification is within a variable that has a natural rank order. Additionally, ordinal data is analyzed into descriptive and inferential statistic s (Kaur, Stoltzfus & Yellapu, 2018). Measures of central tendency are values that explain a set of data by recognizing the middle position within the set. Examples of these measures include the Mean, median, and mode. 2. How do the measures of dispersion (range and standard deviation) help you quickly understand the difference between two sample populations ...
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