16. What does a Probability Density Function (PDF) tell us?

The likelihood of a value falling within a range

2. Which of the following is an example of a discrete probability distribution?

Number of likes on a social media post

14. Which scenario is appropriate for the Mann-Whitney U test?

Data is ordinal and non-normally distributed

19. What does the Z-score represent in a dataset?

The standard deviation from the mean

8. What does the following code check?

Whether the sample mean is different from 10

17. What does the Law of Large Numbers (LLN) explain?

That the sample mean approaches the population mean with more trials

11. What does the np.random.seed(0) function do?

Ensures reproducibility of random numbers

5. Which option correctly removes outliers beyond 3 standard deviations?

Keep data within 3 standard deviations

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Probability Distributions and Variability - S4

20 termsStudBud Administration13 plays

Test your knowledge of Probability Distributions and Statistical Tests for Significance and p-values, with this interactive quiz designed for the Data Analytics & Statistics in Python course. Perfect for beginners and those looking to refresh their skills! Created by Hamed Ahmadinia.

Flashcards20 cardsFPractice quizPHost liveL

Questions 20

Answers

1
16. What does a Probability Density Function (PDF) tell us?
The sample size of the dataset
The variance of a dataset
The cumulative probability up to a value
The likelihood of a value falling within a range
2
20. Which Python library is most commonly used to plot Normal distributions?
Matplotlib
NumPy
Scipy
Pandas
3
10. Which Python library provides the Probability Density Function (PDF) for normal distribution?
Pandas
Matplotlib
Scipy
NumPy
4
2. Which of the following is an example of a discrete probability distribution?
Time spent on TikTok in seconds
Height of a student
Number of likes on a social media post
Daily temperature in Celsius
5
13. In hypothesis testing, what does a p-value less than 0.05 indicate?
Mean is incorrect
Fail to reject the null hypothesis
Standard deviation is large
Reject the null hypothesis
6
3. What does the function np.std(data) compute?
Standard deviation
Mean
Variance
Median
7
4. What is the Z-score formula in Python?
(x - mean) / std
std / (x - mean)
(mean - x) * std
(x * std) - mean
8
15. What function in Matplotlib is used to plot a normal distribution?
plt.hist()
plt.show()
plt.plot()
plt.scatter()
9
14. Which scenario is appropriate for the Mann-Whitney U test?
Data is ordinal and non-normally distributed
Continuous paired data
Both samples are equal in size
Data is normally distributed
10
7. What Python library provides the ttest_ind function for independent T-tests?
Scipy
Pandas
NumPy
Matplotlib
11
19. What does the Z-score represent in a dataset?
The standard deviation from the mean
The cumulative distribution of a value
The mean value of the dataset
The probability of an event occurring
12
1. What function in NumPy generates samples from a normal distribution?
np.random.normal()
np.random.sample()
np.random.uniform()
np.random.poisson()
13
18. What is the key difference between parametric and non-parametric tests?
All of the above.
Non-parametric tests handle interval data.
Non-parametric tests do not assume a specific distribution
Non-parametric tests require larger sample sizes than parametric tests.
14
9. What type of data does the chi2_contingency function require as input?
A list of samples
A contingency table
A Pandas DataFrame
A scalar value
15
6. Which function calculates variance in NumPy?
np.var()
np.mean()
np.std()
np.sum()
16
8. What does the following code check?
Whether the variance is above 10
Whether the maximum value in the data is 10
Whether the sample mean is different from 10
Whether all data points are equal to 10
17
12. What is the Z-score of 10 if the mean is 5 and standard deviation is 2?
1.5
2.0
3.0
2.5
18
17. What does the Law of Large Numbers (LLN) explain?
That the sample mean approaches the population mean with more trials
The effect of removing outliers
The use of contingency tables in hypothesis tests
The relationship between variance and standard deviation
19
11. What does the np.random.seed(0) function do?
Changes the variance
Generates a random array
Changes the mean of the distribution
Ensures reproducibility of random numbers
20
5. Which option correctly removes outliers beyond 3 standard deviations?
Keep data greater than 3
Subtract 3 from the mean
Keep data within 3 standard deviations
Keep values less than 3 in absolute value

Probability Distributions and Variability - S4 Flashcards | StudBud

Probability Distributions and Variability - S4

20 termsStudBud Administration13 plays

Flashcards20 cardsFPractice quizPHost liveL

Questions 20

Answers

1
16. What does a Probability Density Function (PDF) tell us?
The sample size of the dataset
The variance of a dataset
The cumulative probability up to a value
The likelihood of a value falling within a range
2
20. Which Python library is most commonly used to plot Normal distributions?
Matplotlib
NumPy
Scipy
Pandas
3
10. Which Python library provides the Probability Density Function (PDF) for normal distribution?
Pandas
Matplotlib
Scipy
NumPy
4
2. Which of the following is an example of a discrete probability distribution?
Time spent on TikTok in seconds
Height of a student
Number of likes on a social media post
Daily temperature in Celsius
5
13. In hypothesis testing, what does a p-value less than 0.05 indicate?
Mean is incorrect
Fail to reject the null hypothesis
Standard deviation is large
Reject the null hypothesis
6
3. What does the function np.std(data) compute?
Standard deviation
Mean
Variance
Median
7
4. What is the Z-score formula in Python?
(x - mean) / std
std / (x - mean)
(mean - x) * std
(x * std) - mean
8
15. What function in Matplotlib is used to plot a normal distribution?
plt.hist()
plt.show()
plt.plot()
plt.scatter()
9
14. Which scenario is appropriate for the Mann-Whitney U test?
Data is ordinal and non-normally distributed
Continuous paired data
Both samples are equal in size
Data is normally distributed
10
7. What Python library provides the ttest_ind function for independent T-tests?
Scipy
Pandas
NumPy
Matplotlib
11
19. What does the Z-score represent in a dataset?
The standard deviation from the mean
The cumulative distribution of a value
The mean value of the dataset
The probability of an event occurring
12
1. What function in NumPy generates samples from a normal distribution?
np.random.normal()
np.random.sample()
np.random.uniform()
np.random.poisson()
13
18. What is the key difference between parametric and non-parametric tests?
All of the above.
Non-parametric tests handle interval data.
Non-parametric tests do not assume a specific distribution
Non-parametric tests require larger sample sizes than parametric tests.
14
9. What type of data does the chi2_contingency function require as input?
A list of samples
A contingency table
A Pandas DataFrame
A scalar value
15
6. Which function calculates variance in NumPy?
np.var()
np.mean()
np.std()
np.sum()
16
8. What does the following code check?
Whether the variance is above 10
Whether the maximum value in the data is 10
Whether the sample mean is different from 10
Whether all data points are equal to 10
17
12. What is the Z-score of 10 if the mean is 5 and standard deviation is 2?
1.5
2.0
3.0
2.5
18
17. What does the Law of Large Numbers (LLN) explain?
That the sample mean approaches the population mean with more trials
The effect of removing outliers
The use of contingency tables in hypothesis tests
The relationship between variance and standard deviation
19
11. What does the np.random.seed(0) function do?
Changes the variance
Generates a random array
Changes the mean of the distribution
Ensures reproducibility of random numbers
20
5. Which option correctly removes outliers beyond 3 standard deviations?
Keep data greater than 3
Subtract 3 from the mean
Keep data within 3 standard deviations
Keep values less than 3 in absolute value