In Descriptive statistics, you are describing, presenting, summarizing, and organizing your data, either through ______________.
Numerical Calculations
Graphs
Tables
All of them
Which of the following is a Measure of Central Tendency?
Mean
Median
Mode
Which of the following is less affected by outliers?
None of them
Which of the following is not affected by outliers?
Which of the following is a Measure of Variability?
Range & Interquartile range
Variance
Standard Deviation
The bigger the range of data the more ________it is?
Distributed
Undistributed
Left Skewed
RIght Skewed
Interquartile range (IQR) is the difference between _______.
Q1 - Q3
Q2 - Q3
Q3 - Q1
Range Measures_____________of the datapoint?
Beginning
End
Beginning and End
IQR
The interquartile range (IQR) is a Measure of data where___________.
Fewer values lie
The majority of values lie
Variance is the Average of______________from the mean.
Squared deviation
Square root of deviation
Standard deviation is _____________.
Square root of Variance
Square of Variance
When you have a low Standard deviation, your data points tend to be _________ the mean.
Far from
Close to
When you have a high standard deviation, your data points tend to be ________ the mean.
Normal Distribution is _____________.
Bell shaped
None
Z-Score is used to check how many standard deviations away from the mean, a _________________lies.
Distribution of entire data
Specific data point in a data
Which of the following are the Terminologies of Probability?
Event, Outcome
Experiment, Probability
Bernoulli Trials have _________ outcomes.
Exactly one
Exactly two
Exactly three
Exactly four
The Binomial distribution is the Probability distribution of the number of successes in _________Bernoulli trials.
one
two
three
n
Probability Density Function is the Probability distribution of a ____________ random variable.
Continuous random variable
Discrete random variable
The area under a probability density function gives the probability for the __________ variable to be in that range.
Continuous random
Discrete random
Taking __________ samples of equal size from the data, the sample means are approximately normally distributed.
Random
Cluster
Stratified
Systematic
In a normal distribution the ________________.
Mean > Median > Mode
Mean = Median < Mode
Mean = Median = Mode
Mean < Median < Mode
Normal distribution with a mean _____ and a standard deviation of ____ is called a Standard Normal Distribution.
1,0
0,1
0,0
Central Limit Theorem states that:
If we take means of random samples from a distribution and we plot the means, the graph approaches to a ___________distribution when we have taken a sufficiently large number of such samples.
Right Skewed
Normal
The Central Limit Theorem also states that the mean of __________ means is approximately equal to the mean of __________means.
Population, Sample
Population
Sample
A positive Z score indicates that the observed value is Z standard deviations __________ mean. A negative Z score indicates the observed value is Z standard deviations ____________ mean.
Below, Above
Below
Above, Below
Above
______% of data lies within 1 standard deviation of the mean ______% of data lies within 2 standard deviations of the mean ______% of data lies within 3 standard deviations of the mean
68.27% 99.73% 95.45%
68.27% 95.45% 99.73%
99.73% 95.45% 68.27%
