1
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Google Data Analytics Questions and
Answers (100% Correct Answers) Already
Graded A+
Population [ANS:] A group of individuals that belong to the same
species and live in the same area
Sample [ANS:] a subset of the population
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Margin of error [ANS:] the range of percentage points in which the
sample accurately reflects the population
Confidence level [ANS:] the estimated probability that a
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population parameter lies within a given confidence interval
Confidence interval [ANS:] The range of possible values that the
population's result would be at the confidence level of the study
Statistical significance [ANS:] The determination of whether your
result could be due to random chance or not. The greater the
significance, the less due to chance
size of your sample [ANS:] no less than 30
confidence level most commonly used is 95%, but 90% can work in
some cases
For a higher confidence level, use a larger sample size
To decrease the margin of error, use a larger sample size
For greater statistical significance, use a larger sample size
, 2
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Central Limit Theorem (CLT) [ANS:] As sample size increases, the
results more closely resemble the normal (bell-shaped) distribution
from a large number of samples
Review data integrity [ANS:] assessing the overall accuracy,
consistency, and completeness of the data, Connect objectives
to data by understanding how your business objectives can be
served, Know when to stop collecting data
Identify what makes data insufficient [ANS:] Comes from only one
source, Continuously updates and is incomplete, outdated,
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geographically limited
Deal with insufficient data [ANS:] Identify trends within the
available data, Wait for more data if time allows, Discuss with
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stakeholders and adjust your objective, Search for a new dataset.
What are some strategies data professionals can use when they
do not have enough data to meet a business objective? [ANS:] 1.
Locate another relevant dataset to work with.
2. Consider whether it is possible to adjust the objective.
3. Use smaller-scale data until they can find more complete data.
.
A data analyst wants to find out how many middle school
students in Helsinki have laptops. It is unlikely that they can survey
every middle schooler in the city. Instead, they survey enough
students to represent all middle schoolers. This describes what
data analytics concept? [ANS:] Using a sample
Sampling _____ occurs when some members of a population are
overrepresented or underrepresented in the data. [ANS:] bias
, 3
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Hypothesis testing [ANS:] make and test an educated guess about
a problem/solution
proxy data [ANS:] measurements that allow one to indirectly infer
a value such as the temperature or atmospheric conditions in
years past
Question 2
A research team conducts an experiment to determine if a new
cybersecurity tool is more effective than the previous version.
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What type of results are required for the experiment to be
statistically significant? [ANS:] Results that are real and not caused
by random chance
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a data professional aims to achieve a statistical power of at least
_____ to consider their results statistically significant [ANS:] 0.8, or
80%
Accuracy [ANS:] degree to which the data conforms to the
actual entity being measured or described
Completeness [ANS:] degree to which the data contains all
desired components or measures
Consistency [ANS:] degree to which data is repeatable from
different points of entry or collection
Cross-field validation [ANS:] process that ensures certain
conditions for multiple data fields are satisfied
Data constraints [ANS:] criteria that determine whether a piece of
a data is clean and valid
For Expert help and assignment solutions, +254707240657
Google Data Analytics Questions and
Answers (100% Correct Answers) Already
Graded A+
Population [ANS:] A group of individuals that belong to the same
species and live in the same area
Sample [ANS:] a subset of the population
© 2025 Assignment Expert
Margin of error [ANS:] the range of percentage points in which the
sample accurately reflects the population
Confidence level [ANS:] the estimated probability that a
Guru01 - Stuvia
population parameter lies within a given confidence interval
Confidence interval [ANS:] The range of possible values that the
population's result would be at the confidence level of the study
Statistical significance [ANS:] The determination of whether your
result could be due to random chance or not. The greater the
significance, the less due to chance
size of your sample [ANS:] no less than 30
confidence level most commonly used is 95%, but 90% can work in
some cases
For a higher confidence level, use a larger sample size
To decrease the margin of error, use a larger sample size
For greater statistical significance, use a larger sample size
, 2
For Expert help and assignment solutions, +254707240657
Central Limit Theorem (CLT) [ANS:] As sample size increases, the
results more closely resemble the normal (bell-shaped) distribution
from a large number of samples
Review data integrity [ANS:] assessing the overall accuracy,
consistency, and completeness of the data, Connect objectives
to data by understanding how your business objectives can be
served, Know when to stop collecting data
Identify what makes data insufficient [ANS:] Comes from only one
source, Continuously updates and is incomplete, outdated,
© 2025 Assignment Expert
geographically limited
Deal with insufficient data [ANS:] Identify trends within the
available data, Wait for more data if time allows, Discuss with
Guru01 - Stuvia
stakeholders and adjust your objective, Search for a new dataset.
What are some strategies data professionals can use when they
do not have enough data to meet a business objective? [ANS:] 1.
Locate another relevant dataset to work with.
2. Consider whether it is possible to adjust the objective.
3. Use smaller-scale data until they can find more complete data.
.
A data analyst wants to find out how many middle school
students in Helsinki have laptops. It is unlikely that they can survey
every middle schooler in the city. Instead, they survey enough
students to represent all middle schoolers. This describes what
data analytics concept? [ANS:] Using a sample
Sampling _____ occurs when some members of a population are
overrepresented or underrepresented in the data. [ANS:] bias
, 3
For Expert help and assignment solutions, +254707240657
Hypothesis testing [ANS:] make and test an educated guess about
a problem/solution
proxy data [ANS:] measurements that allow one to indirectly infer
a value such as the temperature or atmospheric conditions in
years past
Question 2
A research team conducts an experiment to determine if a new
cybersecurity tool is more effective than the previous version.
© 2025 Assignment Expert
What type of results are required for the experiment to be
statistically significant? [ANS:] Results that are real and not caused
by random chance
Guru01 - Stuvia
a data professional aims to achieve a statistical power of at least
_____ to consider their results statistically significant [ANS:] 0.8, or
80%
Accuracy [ANS:] degree to which the data conforms to the
actual entity being measured or described
Completeness [ANS:] degree to which the data contains all
desired components or measures
Consistency [ANS:] degree to which data is repeatable from
different points of entry or collection
Cross-field validation [ANS:] process that ensures certain
conditions for multiple data fields are satisfied
Data constraints [ANS:] criteria that determine whether a piece of
a data is clean and valid
