Podcast
Questions and Answers
___ ___ is the culmination of the long process of
formulating a hypothesis, constructing
the instrument, and collecting data
___ ___ is the culmination of the long process of formulating a hypothesis, constructing the instrument, and collecting data
Statistical Treatment
It is the science of collecting, organizing, analyzing, and presenting numerical data
It is the science of collecting, organizing, analyzing, and presenting numerical data
Statistics
There are two branches of statistics
that are used in analyzing research
data:
There are two branches of statistics that are used in analyzing research data:
Descriptive and Inferential
tabulating, depicting, and
describing the collected
data.
data summarized to
reveal overall data
patterns and make them
manageable.
tabulating, depicting, and describing the collected data. data summarized to reveal overall data patterns and make them manageable.
making generalizations about
the population through the
sample drawn from it.
hypothesis testing and
sampling. higher degree of
critical judgment and
advanced mathematical
modes.
making generalizations about the population through the sample drawn from it. hypothesis testing and sampling. higher degree of critical judgment and advanced mathematical modes.
This includes frequency distribution, percentage,
measure of central tendency, and measure of
dispersion.
This includes frequency distribution, percentage, measure of central tendency, and measure of dispersion.
the tally of the number of individuals
or cases in a specific variable
the tally of the number of individuals or cases in a specific variable
the ratio of the frequency to the
total sample size. This is often reported with the
frequency of the variable
the ratio of the frequency to the total sample size. This is often reported with the frequency of the variable
the center of the distribution tends
to be located. It refers to the typical or average
score in a distribution.
the center of the distribution tends to be located. It refers to the typical or average score in a distribution.
These measures can be classified as the mean,
median, and mode.
These measures can be classified as the mean, median, and mode.
It is the exact mathematical center of a distribution.
It is equal to the sum of all scores divided by the number of
cases.
It is the exact mathematical center of a distribution. It is equal to the sum of all scores divided by the number of cases.
It is the middlemost value in a distribution below or
above which is exactly 50% of cases that are found. Also
known as MIDDLE SCORE
It is the middlemost value in a distribution below or above which is exactly 50% of cases that are found. Also known as MIDDLE SCORE
it refers to the most frequently occurring
score in a distribution. Also known as POPULAR
SCORE.
it refers to the most frequently occurring score in a distribution. Also known as POPULAR SCORE.
This is also called the measure of variability. This is
used to determine how the scores are spread in a
certain data set.
This is also called the measure of variability. This is used to determine how the scores are spread in a certain data set.
It is the difference between the highest value and
the lowest value in the given distribution.
It is the difference between the highest value and the lowest value in the given distribution.
It is the square of the standard deviation.
It is the square of the standard deviation.
It is the square root of the quotient of
the total squared deviation of the mean and the total
number of cases.
It is the square root of the quotient of the total squared deviation of the mean and the total number of cases.
used to draw inference about
the population based on the samples.
used to draw inference about the population based on the samples.
Two types of inferential statistics
Two types of inferential statistics
It is used in data that are assumed
to be normally distributed and have large sample sizes (
n > 30 ).
It is used in data that are assumed to be normally distributed and have large sample sizes ( n > 30 ).
It does not assume the
normality of the data (can be skewed data) and can
be used for small sample sizes (n < 30 ).
It does not assume the normality of the data (can be skewed data) and can be used for small sample sizes (n < 30 ).
This is used to compare if there's a significant difference between 2 groups (parametric)
This is used to compare if there's a significant difference between 2 groups (parametric)
This is used to compare if there's a significant difference between 2 groups (nonparametric)
This is used to compare if there's a significant difference between 2 groups (nonparametric)
Flashcards
Statistical Treatment
Statistical Treatment
The process of analyzing collected data using statistical methods.
Statistics
Statistics
The science of collecting, organizing, analyzing, and presenting numerical data.
Descriptive Statistics
Descriptive Statistics
Method for summarizing and describing the characteristics of data.
Inferential Statistics
Inferential Statistics
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Frequency Distribution
Frequency Distribution
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Percentage
Percentage
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Measure of Central Tendency
Measure of Central Tendency
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Mean
Mean
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Median
Median
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Mode
Mode
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Measures of Dispersion
Measures of Dispersion
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Range
Range
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Variance
Variance
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Standard Deviation
Standard Deviation
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Parametric Statistics
Parametric Statistics
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Nonparametric Statistics
Nonparametric Statistics
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Two Types of Inferential Statistics
Two Types of Inferential Statistics
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