Comprehensive Guide to Data Analysis Concepts and Techniques

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Computer Science - Computer Graphics

user_striner Created by 9 mon ago

Cards in this deck(89)

Observations or measurements represented as text, numbers, or multimedia are known as _____.

A structured collection of data associated with a unique body of work is called a _____.

An organized collection of data stored as multiple datasets is referred to as a _____.

In a data table, a given row is known as an _____.

The entire collection of data in a table is referred to as a _____.

A column in a data table that varies from person to person, such as gender or name, is called a _____.

The two types of variables are 1) numerical and 2) _____.

Types of numerical variables include 1) continuous and 2) _____.

Types of categorical variables include 1) nominal and 2) _____.

A measurement such as time, weight, or distance that can be a fraction is known as a _____.

A count, such as the number of cars or students, that cannot be a fraction is called a _____.

A variable related to name, where you cannot say which one is more or less, is a _____.

A variable that can be ordered, such as from smallest to largest, is called an _____.

The difference between a variable and an attribute is that attributes must tell something specific and unique about the data, such as _____.

A way of showing a variable on the x-axis using shading or stacking to represent count is called _____.

True or False: Dot plots only work well with small datasets because they can show the exact value.

A graphical representation that provides a view of data density using bins and has no gaps between bars is called a _____.

Bar plots are used for what type of data? _____.

Dot plots are used for what type of data? _____.

Histograms are used for what type of data? _____.

The factor that determines the density and shape of a histogram, including bin width and number of bins, is called _____.

The measure of asymmetry that tells you the shape of distribution, indicating where the tail is, is known as _____.

A distribution that is right skewed, meaning most of the data is on the left, has a _____.

A distribution that is left skewed, meaning most of the data is on the right, has a _____.

A distribution with equal tailing in both directions, where most of the data is in the center, is called _____.

Two measures that show the shape of a histogram or distribution are _____.

The measure that represents the prominent peak of the distribution is called the _____.

True or False: If a distribution is left or right skewed, it means the distribution is unimodal.

A distribution with one prominent peak is described as _____.

A distribution with two prominent peaks is described as _____.

A distribution with no prominent peaks is described as _____.

A distribution with more than two prominent peaks is described as _____.

Statistics that summarize and provide information about your sample data, including the mean and skewness, are called _____.

The three major categories of summary statistics are 1) measures of location/central tendency, 2) measures of spread, and 3) _____.

Types of 'measures of location/central tendency' include 1) mean, 2) median, and 3) _____.

Types of 'measures of spread' include 1) range, 2) skewness, 3) quartiles, and 4) _____.

Types of 'graphs and charts' include 1) histograms, 2) box plots, and 3) _____.

The central value of the data, calculated as the sum of all data points divided by the number of data points, is called the _____.

If the data is ordered from smallest to largest, the observation right in the middle is called the _____.

True or False: There can be a difference in where the mean vs. median say where the center is.

Is the mean robust? Is the median? _____.

If the histogram is skewed, then mean _____ median.

If the histogram is close to symmetric, then mean and median are _____.

What is the significance of a variable in relation to quantile and more? _____.

What are the measures of spread components? 1) range, 2) skewness, 3) quartiles, 4) interquartile range, 5) variance, and 6) _____.

The term that shows whether the values are tightly clustered or dispersed is called _____.

The median is _____ or _____% quantile.

Interpreting the 0.5 or 50% quantile means that 50% of the data are above and 50% are _____.

A more general term that describes splitting the data into groups that contain the same number of data points is called a _____.

A quantile that divides the data into four equally sized groups, even when there are not 100 observations, is called a _____.

The 0.75 quantile says that _____% of the observations are below that value.

The 50th percentile means that _____% of the data is above that value and 50% is below it.

The 0th percentile or 0% quantile occurs when there are no values that are _____ that given value.

To calculate a percentile, use the formula: total # observations below that # / total # of observations in the _____.

Q1/Q2/Q3 divides the data into _____.

Q1, the first quartile, is the 0.25 quantile or 25th percentile, below which _____% of the data falls.

Q2, the second quartile, is the 0.50 quantile or 50th percentile, below which _____% of the data falls.

Q3, the third quartile, is the 0.75 quantile or 75th percentile, below which _____% of the data falls.

Quantiles are a broader category encompassing quartiles and _____.

The highest minus the lowest value, which tells you about dispersion, is called the _____.

A limitation of range is that it only considers two extreme values and is too sensitive to _____.

The IQR can be used to find extreme values or _____.

A value that is very distant from the other values in the dataset is called an _____.

The lower outlier gate is calculated as Q1 - 1.5(IQR), which tells you about _____ extreme values.

The upper outlier gate is calculated as Q3 + 1.5(IQR), which tells you about _____ extreme values.

A box plot summarizes the data set using five statistics and also plots unusual observations, known as _____.

The max whisker in a box plot is also known as the _____.

The lower whisker in a box plot is also known as the _____.

The IQR is a robust measure like the median, whereas the range is _____.

Variance is calculated by taking the average of squared deviations from the mean and tells you the degree of _____.

Measures of variability include 1) variance and 2) _____.

A larger variance means there is more _____.

Standard deviation is calculated by taking the square root of the variance and measures the _____.

A small standard deviation indicates that there is some spread in the data but most of it is still in a fairly tight cluster to the _____.

When the standard deviation increases, it means data points are becoming more spread out further from the _____.

The population standard deviation formula has n in the denominator, which means it will _____ the actual value of the variance and SD.

The sample standard deviation formula has 'n-1' in the denominator, which means it will give an _____ estimate.

True or False: Box plots show standard deviation.

_____ % of the data will be within +/- 1 standard deviation from the mean.

_____ % of the data will be within +/- 2 standard deviations from the mean.

Robust measures include IQR and median, whereas mean and range are _____.

The correlation coefficient (r) measures the strength of linear relationships between two numerical variables and ranges from _____.

Two elements for describing the relationship of two variables in a scatter plot are 1) strength and 2) _____.

Interpreting very low correlation values, such as R = 0.08, indicates that the variables are _____.

True or False: When the relationship is not linear, we don't use R to describe it.

True or False: We use linear regression only when there is a strong correlation.

When one variable causally affects the other, it is called the _____.

The variable that is affected by the explanatory variable is called the _____.

The equation for linear regression is y = B0 + B1(x) + e, where e is _____.

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Comprehensive Guide to Data Analysis Concepts and Techniques

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