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Exam (elaborations)

MLSC 2030 Final Exam Questions & Answers 2024/2025

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  • MLSC 2030

MLSC 2030 Final Exam Questions & Answers 2024/2025 Define independent and dependent variables: - ANSWERS-Independent: (cause) a variable (often denoted by x) whose variation does not depend on that of another, and is changed--> explanatory -Dependent: (effect) a variable (often denoted by ...

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  • August 27, 2024
  • 9
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • MLSC 2030
  • MLSC 2030
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MLSC 2030 Final Exam Questions &
Answers 2024/2025

Define independent and dependent variables: - ANSWERS-Independent: (cause) a variable (often
denoted by x) whose variation does not depend on that of another, and is changed--> explanatory

-Dependent: (effect) a variable (often denoted by y) whose value depends on that of the independent



Define nominal,

ordinal, interval and ratio measurements: - ANSWERS-Nominal: (most basic) think "does it work with
colors" categorical/qualitative; religious, sex, color, preferred chocolate; word, text, or numerical code
but not order

-frequencies and proportions

-Ordinal: rank, satisfaction, fanciness; gaps between numbers

-frequencies, proportions, and sometimes the mean

-Interval: scale, quantitative, parametric; measure rather than classified or ordered; number of
customers, weight, age

-mean, median, SD

-Ratio: same?



Define discrete and continuous data: - ANSWERS-interval/ratio

-discrete is whole numbers

-continuous is fractional numbers



Define descriptive statistics: - ANSWERS-procedures that allow researchers to describe and summarize
data

-are brief descriptive coefficients that summarize a given data set, which can be either a representation
of the entire or a sample of a population

, Describe and apply frequency distribution and measures of central tendency: - ANSWERS-frequency
distribution is mathematical function showing the number of instances in which a variable takes each of
its possible values

-a single value that attempts to describe a set of data by identifying the central position within that set of
data; measured by mean, median, and mode



Describe measures of variability: - ANSWERS-the degree to which individual values cluster around the
center

-the range, interquartile range, variance, and standard deviation



Calculate the mean, variance and standard deviation of a given data set: - ANSWERSno



Describe and apply bivariate descriptive statistics: - ANSWERSinvolves simultaneously analyzing
(comparing) two variables to determine if there is a relationship between the variables



Define and describe the use of inferential statistics and give examples of inferential

statistics: - ANSWERSuse a random sample of data taken from a population to describe and make
inferences about the population.



Define multivariate analyses: - ANSWERSdeals with the statistical analysis of data collected on more than
one dependent variable. These variables may be correlated with each other, and their statistical
dependence is often taken into account when analyzing such data.



Define the statistical terms involved in Quality Control Testing: - ANSWERS-a shift

-a trend



Explain concepts and terms used to describe systematic and random error: - ANSWERS-random errors
lead to fluctuations around the true value as a result of difficulty taking measurements

-whereas systematic errors lead to predictable and consistent departures from the true value due to
problems with the calibration of your equipment.



Explain the concept of Total Error Allowed: - ANSWERS-checks the performance of the method

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