STATISTICS, THE ART AND SCIENCE OF LEARNING FROM DATA |
COMPLETE QUESTIONS AND ANSWERS | 100% RATED CORRECT |
2024-2025 LATEST UPDATED
data - (answers)information we gather with experiments and surveys
Statistics - (answers)the art and science of collecting, presenting and analyzing data to answer an
investigative question objectively
three main components of statistics - (answers)design, description, inference
design component of statistics - (answers)Stating the goal and/or statistical question of interest.
And planning how to obtain data to address this.
你是想要一篇“眼睛容易阅读
description component of statistics - (answers)Summarizing and analyzing the data that are
obtained. Helps find patterns in data. 的”中文文章
inference component of statistics - (answers)Making decisions and predictions based on the data
to answer statistical question and decide whether observed patterns are meaningful. Also to draw
a conclusion about the population, based on the sample.
Probability - (answers)"a framework for quantifying how likely various possible outcomes are".
The variable - (answers)refers to the characteristics being measured.
Subjects - (answers)the entities measured in a study, which are usually people but can also be
other things such as schools, countries or days.
, The population - (answers)The set of all subjects of interest. However, we usually don't have data
for all of the subjects in the population.
sample - (answers)the subjects that we have data on, often randomly selected
Descriptive statistics - (answers)refers to methods for summarizing/ compressing the collected
data. The summaries usually consist of graphs and numbers such as averages and percentages.
easy way to get overview of large quantities of data
Inferential statistics - (answers)refers to methods of making decisions or predictions about a
population based on data obtained from a sample of that population, assessing uncertainty about
statements. Used when data are only available for a sample, but we want to make decisions or
predictions about the entire population.
A parameter - (answers)a numerical summary of the population, what we want to learn about.
Can't be computed easily. almost always unknown but we use sample statistics to estimate
parameter values
你是想要一篇“眼睛容易阅读
的”中文文章
A (sample) statistic - (answers)a numerical summary of a sample taken from the population. You
can compute this: mean, median standard deviation etc.
random sampling - (answers)randomly selecting sample, designed to make the sample
representative of the population, by not favoring any part of the population with certain
characteristics. Random sampling allows us to make inferences about populations, it's also
crucial to performing experiments well.
Variability - (answers)how observations vary from person to person within a sample, and how
statistics computed from samples vary from one sample to the next, i.e., between samples.
Within Sample Variability - (answers)the measurements we make on people vary from person to
person, not surprising because people are different from each other.
COMPLETE QUESTIONS AND ANSWERS | 100% RATED CORRECT |
2024-2025 LATEST UPDATED
data - (answers)information we gather with experiments and surveys
Statistics - (answers)the art and science of collecting, presenting and analyzing data to answer an
investigative question objectively
three main components of statistics - (answers)design, description, inference
design component of statistics - (answers)Stating the goal and/or statistical question of interest.
And planning how to obtain data to address this.
你是想要一篇“眼睛容易阅读
description component of statistics - (answers)Summarizing and analyzing the data that are
obtained. Helps find patterns in data. 的”中文文章
inference component of statistics - (answers)Making decisions and predictions based on the data
to answer statistical question and decide whether observed patterns are meaningful. Also to draw
a conclusion about the population, based on the sample.
Probability - (answers)"a framework for quantifying how likely various possible outcomes are".
The variable - (answers)refers to the characteristics being measured.
Subjects - (answers)the entities measured in a study, which are usually people but can also be
other things such as schools, countries or days.
, The population - (answers)The set of all subjects of interest. However, we usually don't have data
for all of the subjects in the population.
sample - (answers)the subjects that we have data on, often randomly selected
Descriptive statistics - (answers)refers to methods for summarizing/ compressing the collected
data. The summaries usually consist of graphs and numbers such as averages and percentages.
easy way to get overview of large quantities of data
Inferential statistics - (answers)refers to methods of making decisions or predictions about a
population based on data obtained from a sample of that population, assessing uncertainty about
statements. Used when data are only available for a sample, but we want to make decisions or
predictions about the entire population.
A parameter - (answers)a numerical summary of the population, what we want to learn about.
Can't be computed easily. almost always unknown but we use sample statistics to estimate
parameter values
你是想要一篇“眼睛容易阅读
的”中文文章
A (sample) statistic - (answers)a numerical summary of a sample taken from the population. You
can compute this: mean, median standard deviation etc.
random sampling - (answers)randomly selecting sample, designed to make the sample
representative of the population, by not favoring any part of the population with certain
characteristics. Random sampling allows us to make inferences about populations, it's also
crucial to performing experiments well.
Variability - (answers)how observations vary from person to person within a sample, and how
statistics computed from samples vary from one sample to the next, i.e., between samples.
Within Sample Variability - (answers)the measurements we make on people vary from person to
person, not surprising because people are different from each other.
