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A visually engaging illustration depicting various data analysis concepts such as graphs, charts, and statistics in a modern design.

Data Analysis Quiz

Test your knowledge of data analysis concepts with this comprehensive quiz! Designed for students and professionals alike, this quiz covers a range of topics from qualitative and quantitative data to measures of central tendency and data visualization techniques.

Whether you’re looking to brush up on your skills or challenge yourself, this quiz is perfect for you. Key areas include:

Data categories and their properties
Charts and tables interpretation
Measures of central tendency
Statistical dispersion and skewness

74 Questions18 MinutesCreated by AnalyzingData101

Represents group or category

It represents numbers that could be divided to two groups

This data can be usually counted in a finite matter

This data is infinite and impossible to count.

There are two qualitative levels

This qualitative level represents categories that cannot be put in any order

This qualitative level represents categories that can be ordered.

These are the two quantitative levels

This quantitative level have a true zero

This quantitative level does not have a true zero

This tables show the category and its corresponding absolute frequency.

On the y-axis we have the absolute frequency.

This chart is used when we want to see the share of an item as a part of the total

It is a special type of bar chart where the categories are shown in descending order of frequency,

This is where we can either hard code the frequencies or count them with a count function.

This charts is also called clustered column charts in Excel.

One of the most common ways to represent numerical data.

This table is used to represent categorical variables. One set of categories is labeling the rows and another is labeling the columns

When we want to represent two numerical variables on the same graph, we usually use a ______________

It is a plot that looks in the following way (down) represents data that doesn’t have a pattern

It is the most widely spread measure of central tendency

It is the midpoint of the ordered dataset.

It is the value that occurs most often.

It is a measure of asymmetry that indicates whether the observations in a dataset are concentrated on one side

Skewness means the outliers are to the right

Skewness means the outliers are to the left

It measure the dispersion of a set of data points around its mean value

It is a measure of the joint variability of two variables

It could be thought of as a standardized measure. It takes on values between -1 and 1, thus it is easy for us to interpret the result

It is a function that shows the possible values for a variable and how often they occur.

It is a common mistake to believe that the distribution is the graph. In fact the distribution is the ‘rule’ that determines how values are positioned in relation to each other.

Known as Gaussian distribution or the Bell curve.

It is a particular case of the Normal distribution. It has a mean of 0 and a standard deviation of 1.

It is one of the greatest statistical insights. It states that no matter the underlying distribution of the dataset, the sampling distribution of the means would approximate a normal distribution.

Subtracting the mean from all observations would cause a transformation from 𝑝~ μ, 𝜎 2 to 𝑝~ 0, 𝜎 2 , moving the graph to the origin

True

False

Subsequently, multiplying all observations by the standard deviation would cause a transformation from 𝑝~ 0, 𝜎 2 to 𝑝~ 0,1 , standardizing the peak and the tails of the graph.

True

False

It is a mathematical function that approximates a population parameter depending only on sample information

It is the output that you get from the estimator (when you apply the formula).

The expected value of an unbiased estimator is the population parameter.

The most efficient estimator is the one with the smallest variance.

There are two types of estimates ________ and ________

It is much more precise than point estimates.

It is an interval within which we are confident (with a certain percentage of confidence) the population parameter will fall.

It is used predominantly for creating confidence intervals and testing hypotheses with normally distributed populations when the sample sizes are small.

We build the confidence interval around the point estimate.

True

False

This distribution has fatter tails than the Normal distribution and a lower peak. This is to reflect the higher level of uncertainty, caused by the small sample size.

It is a procedure that has characterized natural science since the 17th century.

It is a supposition or proposed explanation made on the basis of limited evidence as a starting point for further investigation.

It is the status-quo. Everything which was believed until now that we are contesting with our test.

It is the change or innovation that is contesting the status-quo

To ________ the null means that there isn’t enough data to support the change or the innovation brought by the alternative.

To ________ the null means that there is enough statistical evidence that the status-quo is not representative of the truth.

The tails of the distribution show when we reject the null hypothesis

Everything which remains in the middle is the ________

The probability of rejecting a null hypothesis that is true; the probability of making this error

Used when the null contains an equality (=) or an inequality sign (≠)

Used when the null doesn’t contain equality or inequality sign (<,>,≤,≥)

In general, there are two types of errors we can make while testing

It is the smallest level of significance at which we can still reject the null hypothesis, given the observed sample statistic

When we are testing a hypothesis, we always strive for those ‘three zeros after the dot’. This indicates that we ______the null at all significance levels.

It is often the ‘cut-off line’.

__________ is a sequence or series of data points in which the time component is involved throughout the occurrence

__________ is the discipline of analyzing time series data using a variety of tools and techniques.

A time series is a sequence of observations recorded at regular time intervals.

True

False

Mean reverting data returns, over time, to a time-invariant mean. It is important to know whether a model includes a non-zero mean because it is a prerequisite for determining appropriate testing and modeling methods

It is done to diagnose future behavior as well as to predict future behavior

True

False

__________is also a component where the time series data shows a regular pattern over an interval of time. It repeats after the fixed interval of time.

___________is one of the main characteristics of time series data. It occurs when the time series exhibits predictable yet regular patterns at time intervals that are smaller than a year.

Most often, time-series data shows a sudden change in behaviour at a certain point in time. Such sudden changes are referred to as structural breaks.

They can cause instability in the parameters of a model, which in turn can diminish the reliability and validity of that model. Time series plots can help identify structural breaks in data

Time series data may have a thing that is proportionate to the time period.

The reliability of the results of time series relies upon the correct identification of time trends

____________ is the component in which the time series data repeats after some interval of time. The interval is not fixed here

____________ is the random fluctuation in the time series data. We can’t consider them for predicting the future

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