True and False Flashcards
To get the right answer :)
The median is a measure of spread
False
The median is a measure of center
True
The mean is a measure of spread
False
The mean is a measure of center
True
The mean is resistant
False
The median is not resistant
False
The range is a measure of spread
True
The range is resistant
False
The IQR is a measure of spread
True
The IQR is resistant
True
The variance is a measure of spread
True
The standard deviation is a measure of center
False
The variance is resistant
False
The standard deviation is not resistant
True
The median is better than the mean to measure the center of a data set when the data has outliers
True
The range is the worst measure of spread
True
The five number summary consists of: minimum, Q1, median, Q3, maximum
True
Any data value that is more than 1.5 IQR above Q3 is an outlier
True
Any data value that is more than 1.5 IQR below Q1 is an outlier
True
Any data value that is more than 1.5 IQR away from Q3 is an outlier
False
Any data value that is more than 1.5 IQR away from Q1 is an outlier
False
Any data value that is more than 1.5 IQR away from the median is an outlier
False
Any data value that is within two standard deviations from the mean is an outlier
False
Any data value that is more than two standard deviations away from the mean is an
outlier
True
The five-number summary of the linear transformed data is the transformed five number summary of the original data
True
The mean of the linear transformed data is the transformed mean of the original data
True
The variance of the linear transformed data is the transformed variance of the original
data
False (it does transform bur it’s y=a^2x+b instead of y=ax+b)
The median of the linear transformed data is the transformed median of the original
data
True
The IQR of the linear transformed data is the linear transformed IQR of the original
data
True
The mean of the rescaled data is the rescaled mean of the original data
True
The variance of the linear transformed data is the transformed variance of the original
data
False
The standard deviation of the linear transformed data is the transformed standard
deviation of the original data
False
If you rescale a date set (multiplying every data value by a positive constant): the standard deviation of the rescaled data is the rescaled standard deviation
of the original data
True
If you rescale a date set (multiplying every data value by a positive constant): The IQR of the rescaled data is the rescaled IQR of the original data
True
If you rescale a date set (multiplying every data value by a positive constant): The mean of the rescaled data is the rescaled mean of the original data
True
If you rescale a date set (multiplying every data value by a positive constant): The median of the rescaled data is the rescaled median of the original data
True
f you rescale a date set (multiplying every data value by a positive constant): The range of the rescaled data is the rescaled range of the original data
True
If you rescale a date set (multiplying every data value by a positive constant): The variance of the rescaled data is the rescaled variance of the original data
False
Approximately 68% of the values in a data set lies within one standard deviation of
the mean
True
Approximately 95% of the values in a data set lies within two standard deviation of
the mean
True
In a bell-shaped data set, approximately 5% of the data values lies more than two
standard deviations away from the mean
True
In a bell-shaped data set, approximately 32% of the data values lies more than one
standard deviation away from the mean
True
In a symmetric data set, approximately 68% of the data values lies within one standard deviation of the mean
True
Approximately 95% of the values in a data set lies within two standard deviation of
the mean
True
Independent events cannot occur together
False
Disjoint events cannot occur together
True
Any two disjoint events cannot be independent
True
Any two independent events cannot be disjoint
True
For any random variable X, P(X = 3) is always 0
False
For any continuous random variable X, P(X = 3) is always 0
True
For the right-skewed data, the mean should be greater than the median
True
For the left-skewed data, the mean should be greater than the median
False
For the symmetric data, the mean and median should be approximately equal
True
z-scores do not have unit
True
z-scores can be used to compare values from different populations
True
The mean of z-scores for all values in a data set is always 0
True
z-score of a value gives how many standard deviations that value is a way from the
mean
True
The variance of z-scores for all values in a data set is always 1
True