Data Analytics Quiz Challenge

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Data basics quiz

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Aimee Argueta

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Data Analytics Quiz Challenge


Data Analytics Quiz ChallengeVersión en línea Data basics quiz por Aimee Argueta 1 Statistics is best defined as: a Organizing and interpreting data for decision-making b Creating charts only c Collecting random numbers 2 A complete row in a dataset is called a(n): a Observation b Column c Variable 3 Which is an example of quantitative data? a Customer satisfaction level b Region (North, South) c Monthly sales revenue ($12,500) 4 A frequency distribution is used to: a Summarize how often values occur b Predict future sales c Remove outliers 5 Which graph is appropriate for grouped quantitative data? a Bar chart b Pie chart c Histogram 6 In a bar chart, bars should: a Show correlation b Must touch c Do not touch 7 Data: 10, 15, 20, 25, 30. Find the mean. a 20 b 18 c 17 8 Find the median of: 5, 9, 12, 18, 25, 30. a 13 b 14 c 15 9 When data contains outliers, the most reliable measure of center is: a Mean b Range c Median 10 The weighted mean is appropriate when: a All values are equally important b Some values count more than others c Data is categorical 11 Quartiles divide ordered data into __________ equal parts. a Two b Three c Four 12 If Q1 = 20 and Q3 = 35, compute the IQR. a -15 b 10 c 15 13 The IQR measures: a Total spread b Spread of the middle 50% c Distance from mean 14 An observation is an outlier if it is: a Outside Q1 − 1.5×IQR or Q3 + 1.5×IQR b Larger than the maximum c Outside mean ± SD 15 Variance is harder to interpret than standard deviation because: a Its units are squared b It is always negative c It ignores extreme values 16 Mean = 80, SD = 10. Using the Empirical Rule, about 95% of observations fall in which interval? a 80 ± 4 (76, 84) b 80 ± 20 (60, 100) c 80 ± 40 (40, 120) 17 Mean = 50, SD = 5, Value = 60. Compute the z-score. a 8 b 6 c 2 18 A z-score of −2 indicates the value is: a Two standard deviations below the mean b 2 units below the mean c An outlier automatically 19 The coefficient of variation (CV) is most useful when: a Data is categorical b Comparing datasets with different scales c The mean equals zero 20 A scatter plot is used to analyze: a Two quantitative variables b One categorical variable c One quantitative variable only 21 Covariance indicates: a Causation b Direction of relationship c Exact strength of relationship 22 The correlation coefficient ranges between: a 0 and 1 b −1 and 1 c 0 and 100 23 What does df.head() display in pandas? a Displays first few rows b Shows last rows c Calculates mean 24 What does df.groupby('Region')['Sales'].mean() compute? a Overall average sales b Total sales c Average sales for each region

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Data Analytics Quiz ChallengeVersión en línea

por Aimee Argueta

Statistics is best defined as:

A complete row in a dataset is called a(n):

Which is an example of quantitative data?

A frequency distribution is used to:

Which graph is appropriate for grouped quantitative data?

In a bar chart, bars should:

Data: 10, 15, 20, 25, 30. Find the mean.

Find the median of: 5, 9, 12, 18, 25, 30.

When data contains outliers, the most reliable measure of center is:

The weighted mean is appropriate when:

Quartiles divide ordered data into __________ equal parts.

If Q1 = 20 and Q3 = 35, compute the IQR.

The IQR measures:

An observation is an outlier if it is:

Variance is harder to interpret than standard deviation because:

Mean = 80, SD = 10. Using the Empirical Rule, about 95% of observations fall in which interval?

Mean = 50, SD = 5, Value = 60. Compute the z-score.

A z-score of −2 indicates the value is:

The coefficient of variation (CV) is most useful when:

A scatter plot is used to analyze:

Covariance indicates:

The correlation coefficient ranges between:

What does df.head() display in pandas?

What does df.groupby('Region')['Sales'].mean() compute?