Presentation of Data MCQs 2026

40 questions with detailed answers · 14 from past papers · 4 quiz batches available

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Page 1 of 1 Questions 110 of 40
  1. Q1 easy

    A scatter diagram displays

    1. A one variable only in classes
    2. B paired observations of two quantitative variables
    3. C only ranked ordinal categories
    4. D only cumulative percentages
    💡 Explanation:

    Each point represents (x, y) for one unit.

  2. Q2 Past Paper · PPSC/FPSC/CSS easy

    A frequency distribution shows

    1. A only the mean and median without classes
    2. B how observations are distributed across classes or values
    3. C only probabilities of future events
    4. D only regression coefficients
    💡 Explanation:

    Frequency tables group raw data into classes with counts.

  3. Q3 Past Paper · PPSC/FPSC/CSS easy

    A class interval in a grouped frequency distribution is

    1. A always the mean of the data
    2. B only the highest observation
    3. C the range of values included in one class
    4. D only the sample size
    💡 Explanation:

    Example: 10–19, 20–29 are class intervals.

  4. Q4 Past Paper · PPSC/FPSC/CSS medium

    Class boundaries are used when

    1. A classes are expressed as discrete limits and continuity is assumed
    2. B data are purely nominal
    3. C no grouping is applied
    4. D only pie charts are drawn
    💡 Explanation:

    Boundaries resolve gaps between stated class limits (e.g., 9.5–19.5).

  5. Q5 Past Paper · PPSC/FPSC/CSS easy

    Class mark (midpoint) of 20–29 is

    1. A 20
    2. B 29
    3. C 22
    4. D 24.5
    💡 Explanation:

    Midpoint = (20+29)/2 = 24.5.

  6. Q6 Past Paper · PPSC/FPSC/CSS easy

    A histogram is used for

    1. A showing trends over time with points joined
    2. B comparing unrelated categories with separated bars
    3. C displaying the frequency distribution of continuous or grouped data
    4. D showing cumulative percentages only
    💡 Explanation:

    Histogram bars touch because classes are continuous.

  7. Q7 Past Paper · PPSC/FPSC/CSS easy

    In a histogram, adjacent bars touch because

    1. A all variables are nominal
    2. B the variable is continuous or grouped continuously
    3. C frequencies must always decrease
    4. D classes must have unequal widths
    💡 Explanation:

    Touching bars reflect continuous class intervals.

  8. Q8 Past Paper · PPSC/FPSC/CSS easy

    A bar chart is appropriate for

    1. A comparing discrete or categorical data
    2. B continuous frequency densities only
    3. C time series with connected lines only
    4. D cumulative distributions only
    💡 Explanation:

    Bars are separated for distinct categories.

  9. Q9 Past Paper · PPSC/FPSC/CSS easy

    A pie chart displays

    1. A exact frequencies of many classes with 20 intervals
    2. B correlation between two variables
    3. C time series seasonality only
    4. D parts of a whole as sectors proportional to percentages
    💡 Explanation:

    Sector angles are proportional to share of total.

  10. Q10 Past Paper · PPSC/FPSC/CSS medium

    A frequency polygon is constructed by

    1. A joining class midpoints at their frequencies
    2. B joining upper class limits without midpoints
    3. C plotting raw data only without grouping
    4. D using only cumulative frequencies at lower limits
    💡 Explanation:

    Points at (class mark, frequency) are connected.

  11. Q11 Past Paper · PPSC/FPSC/CSS medium

    An ogive (cumulative frequency curve) plots

    1. A only class midpoints against simple frequency
    2. B only raw values in stem-and-leaf form
    3. C cumulative frequency against upper class boundaries
    4. D only deciles without cumulative totals
    💡 Explanation:

    Ogive shows running total of frequencies.

  12. Q12 Past Paper · PPSC/FPSC/CSS easy

    A line graph is most suitable for

    1. A unordered nominal categories only
    2. B parts of a single whole at one time
    3. C open-ended class intervals without order
    4. D showing trends over time
    💡 Explanation:

    Time on the horizontal axis and values connected show trends.

  13. Q13 Past Paper · PPSC/FPSC/CSS medium

    Stem-and-leaf display is useful because it

    1. A destroys all original digits
    2. B preserves actual data values while showing shape
    3. C only works for nominal data
    4. D cannot show more than 10 observations
    💡 Explanation:

    Stems and leaves retain raw information in sorted form.

  14. Q14 medium

    In a stem-and-leaf plot for 23, 25, 27 the stem 2 might show leaves

    1. A 23 25 27 as one leaf
    2. B only the mean 25
    3. C only the range 4
    4. D 3 5 7
    💡 Explanation:

    Each digit leaf attaches to its stem digit.

  15. Q15 Past Paper · PPSC/FPSC/CSS easy

    A boxplot (box-and-whisker) shows

    1. A median, quartiles and potential outliers
    2. B only the mode and range without quartiles
    3. C only cumulative frequencies
    4. D only regression line slope
    💡 Explanation:

    Box spans Q1–Q3 with median line; whiskers extend to extremes.

  16. Q16 Past Paper · PPSC/FPSC/CSS medium

    In a boxplot, the box spans

    1. A the full range from minimum to maximum always
    2. B only the mean ± 1 SD
    3. C the interquartile range from Q1 to Q3
    4. D only the mode to median
    💡 Explanation:

    IQR = Q3 − Q1 is the box width.

  17. Q17 medium

    Positive skew in a histogram appears as

    1. A a tail extending toward higher values on the right
    2. B a tail extending toward lower values on the left
    3. C perfect symmetry always
    4. D zero frequency in all classes
    💡 Explanation:

    Right tail means mean typically exceeds median.

  18. Q18 medium

    Negative skew in a histogram appears as

    1. A a tail extending to the right only
    2. B a tail extending toward lower values on the left
    3. C symmetric bell shape only
    4. D equal mean and median always
    💡 Explanation:

    Left tail pulls the mean below the median.

  19. Q19 hard

    Equal class widths in a histogram are preferred because

    1. A unequal widths never matter
    2. B only aesthetics require it
    3. C bar area then represents frequency proportionally
    4. D frequencies must be cumulative
    💡 Explanation:

    With equal widths, height reflects frequency; unequal widths need density.

  20. Q20 easy

    Relative frequency of a class is

    1. A class frequency multiplied by 100 only without dividing by n
    2. B total frequency divided by class frequency
    3. C mean of class limits
    4. D class frequency divided by total number of observations
    💡 Explanation:

    Relative frequency = f / N.

  21. Q21 easy

    Percentage frequency is

    1. A total frequency divided by 100
    2. B class width times frequency
    3. C standard deviation of the class
    4. D relative frequency multiplied by 100
    💡 Explanation:

    Percent = (f/N) × 100.

  22. Q22 medium

    Cumulative frequency up to a class gives

    1. A only the class midpoint
    2. B only the variance of that class
    3. C the count of observations less than or equal to that class upper limit
    4. D only the mode of the dataset
    💡 Explanation:

    CF answers "how many are at or below this value".

  23. Q23 easy

    A frequency table for qualitative data lists

    1. A categories and their counts or percentages
    2. B only class midpoints for continuous data
    3. C only regression residuals
    4. D only probability density functions
    💡 Explanation:

    Nominal/ordinal variables are tabulated by category.

  24. Q24 hard

    Open-ended class intervals such as "60 and above" affect

    1. A only pie charts but not histograms
    2. B computation of mean from grouped data unless assumed midpoint
    3. C only ratio scale definition
    4. D only sample size n
    💡 Explanation:

    An assumed midpoint is needed for grouped mean calculations.

  25. Q25 medium

    A contingency table cross-classifies data by

    1. A two categorical variables
    2. B one continuous variable over time
    3. C only cumulative frequencies
    4. D only deciles of one variable
    💡 Explanation:

    Rows and columns show joint category counts.

  26. Q26 medium

    Misleading graphs often involve

    1. A labeling both axes clearly
    2. B using consistent scales
    3. C truncated vertical axes that exaggerate differences
    4. D showing source of data
    💡 Explanation:

    Axis manipulation can visually distort small changes.

  27. Q27 easy

    For grouped data 10–19 (f=5), 20–29 (f=8), total frequency is

    1. A 5
    2. B 8
    3. C 21
    4. D 13
    💡 Explanation:

    Total N = 5 + 8 = 13.

  28. Q28 easy

    If total frequency is 50 and a class has frequency 10, relative frequency is

    1. A 0.10
    2. B 0.20
    3. C 0.50
    4. D 5.0
    💡 Explanation:

    10/50 = 0.20.

  29. Q29 easy

    A pictogram uses

    1. A only mathematical integrals
    2. B only boxplot whiskers
    3. C only correlation coefficients
    4. D pictures or icons to represent quantities
    💡 Explanation:

    Icons must scale carefully to avoid visual distortion.

  30. Q30 medium

    Class limits 10–19 and 20–29 are

    1. A discrete stated endpoints of classes
    2. B always the same as class boundaries
    3. C always equal to quartiles
    4. D always the cumulative frequency
    💡 Explanation:

    Limits are recorded; boundaries adjust for continuity.

  31. Q31 hard

    To convert a histogram to frequency polygon, one often adds

    1. A only the median class
    2. B only outliers as separate polygons
    3. C zero-frequency classes at both ends
    4. D only cumulative totals
    💡 Explanation:

    End classes at zero frequency close the polygon to the axis.

  32. Q32 medium

    A table showing rows as regions and columns as products sold is

    1. A a time series table
    2. B a cross-tabulation or contingency table
    3. C a stem-and-leaf plot
    4. D a Lorenz curve
    💡 Explanation:

    Two-way tables show joint category frequencies.

  33. Q33 medium

    Deciles divide ordered data into

    1. A ten equal parts
    2. B two equal parts only
    3. C four equal parts only
    4. D one hundred equal parts only
    💡 Explanation:

    D1 to D9 are decile cut points.

  34. Q34 easy

    Percentiles divide ordered data into

    1. A ten parts only
    2. B only quartiles
    3. C only deciles with no finer splits
    4. D hundred equal parts
    💡 Explanation:

    The 75th percentile is Q3.

  35. Q35 medium

    A frequency curve is a smooth curve fitted to

    1. A only nominal categories without order
    2. B only two data points
    3. C a frequency distribution
    4. D only hypothesis test results
    💡 Explanation:

    Smoothing helps visualize population shape.

  36. Q36 easy

    In CSS statistics, presentation questions often require

    1. A deriving maximum likelihood estimators only
    2. B choosing the correct graph for data type
    3. C solving differential equations only
    4. D proving central limit theorem from scratch
    💡 Explanation:

    Exam items test tables, charts and appropriate displays.

  37. Q37 easy

    Grouped data class 30–39 with frequency 12 means

    1. A the mean is 30
    2. B the median is 39
    3. C 12 observations fall in that interval (per stated limits)
    4. D the total sample is 12 only
    💡 Explanation:

    Frequency counts observations in the class.

  38. Q38 easy

    A cumulative percentage ogive reaches

    1. A 50% at the first class always
    2. B 0% at the maximum value
    3. C 200% at the last boundary
    4. D 100% at the end of the distribution
    💡 Explanation:

    All relative frequencies sum to 100%.

  39. Q39 medium

    Side-by-side bar charts are useful to compare

    1. A subgroups across categories
    2. B only one series over time
    3. C only a single numeric variable distribution
    4. D only correlation strength
    💡 Explanation:

    Multiple bars per category compare series.

  40. Q40 easy

    The main purpose of data presentation is to

    1. A hide variation deliberately
    2. B communicate patterns clearly and accurately
    3. C avoid all labels and titles
    4. D replace all analysis with graphs only
    💡 Explanation:

    Good presentation supports correct interpretation.