Chapter 2: Data Processing
1 / 50
Data processing is essential for:
2 / 50
Organized data is easier to:
3 / 50
Data processing improves:
4 / 50
A frequency table shows:
5 / 50
Statistical analysis is used in:
6 / 50
Data processing helps in:
7 / 50
Coefficient of variation is used to:
8 / 50
Zero correlation means:
9 / 50
Perfect negative correlation is:
10 / 50
Perfect positive correlation is:
11 / 50
Correlation shows:
12 / 50
Normal distribution curve is:
13 / 50
Negative skew means:
14 / 50
Positive skew means:
15 / 50
Skewed distribution is:
16 / 50
Grouped data is easier for:
17 / 50
Ungrouped data is:
18 / 50
Data classification improves:
19 / 50
Cumulative frequency is:
20 / 50
Frequency means:
21 / 50
Class interval refers to:
22 / 50
Data arranged into classes is called:
23 / 50
Percentage helps in:
24 / 50
Formula of percentage:
25 / 50
Percentage means:
26 / 50
A symmetrical distribution has:
27 / 50
Standard deviation measures:
28 / 50
Mean deviation measures:
29 / 50
In grouped data, median is calculated using:
30 / 50
Mode of 2, 2, 3, 4 is:
31 / 50
Median of 1, 3, 5 is:
32 / 50
Mean of 2, 4, 6 is:
33 / 50
If all values are equal, then mean = median = mode
34 / 50
Mode is best used for:
35 / 50
Median is useful when:
36 / 50
Mean is affected by:
37 / 50
Mode refers to:
38 / 50
Median is:
39 / 50
Formula for mean is:
40 / 50
Mean is also called:
41 / 50
Tabulation helps to:
42 / 50
Classification of data helps in:
43 / 50
Quantitative data refers to:
44 / 50
Qualitative data refers to:
45 / 50
Data arranged in ascending or descending order is:
46 / 50
Statistical data mainly helps in:
47 / 50
Arrangement of data into rows and columns is called:
48 / 50
Raw data is also known as:
49 / 50
The first step in data processing is:
50 / 50
Data processing refers to:
Your score is
The average score is 0%
