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Page 1 of 1Questions 1–10 of 40
Q1easy
A scatter diagram displays
Aone variable only in classes✓
Bpaired observations of two quantitative variables✓
Conly ranked ordinal categories✓
Donly cumulative percentages✓
💡 Explanation:
Each point represents (x, y) for one unit.
Q2Past Paper · PPSC/FPSC/CSSeasy
A frequency distribution shows
Aonly the mean and median without classes✓
Bhow observations are distributed across classes or values✓
Conly probabilities of future events✓
Donly regression coefficients✓
💡 Explanation:
Frequency tables group raw data into classes with counts.
Q3Past Paper · PPSC/FPSC/CSSeasy
A class interval in a grouped frequency distribution is
Aalways the mean of the data✓
Bonly the highest observation✓
Cthe range of values included in one class✓
Donly the sample size✓
💡 Explanation:
Example: 10–19, 20–29 are class intervals.
Q4Past Paper · PPSC/FPSC/CSSmedium
Class boundaries are used when
Aclasses are expressed as discrete limits and continuity is assumed✓
Bdata are purely nominal✓
Cno grouping is applied✓
Donly pie charts are drawn✓
💡 Explanation:
Boundaries resolve gaps between stated class limits (e.g., 9.5–19.5).
Q5Past Paper · PPSC/FPSC/CSSeasy
Class mark (midpoint) of 20–29 is
A20✓
B29✓
C22✓
D24.5✓
💡 Explanation:
Midpoint = (20+29)/2 = 24.5.
Q6Past Paper · PPSC/FPSC/CSSeasy
A histogram is used for
Ashowing trends over time with points joined✓
Bcomparing unrelated categories with separated bars✓
Cdisplaying the frequency distribution of continuous or grouped data✓
Dshowing cumulative percentages only✓
💡 Explanation:
Histogram bars touch because classes are continuous.
Q7Past Paper · PPSC/FPSC/CSSeasy
In a histogram, adjacent bars touch because
Aall variables are nominal✓
Bthe variable is continuous or grouped continuously✓
Cfrequencies must always decrease✓
Dclasses must have unequal widths✓
💡 Explanation:
Touching bars reflect continuous class intervals.
Q8Past Paper · PPSC/FPSC/CSSeasy
A bar chart is appropriate for
Acomparing discrete or categorical data✓
Bcontinuous frequency densities only✓
Ctime series with connected lines only✓
Dcumulative distributions only✓
💡 Explanation:
Bars are separated for distinct categories.
Q9Past Paper · PPSC/FPSC/CSSeasy
A pie chart displays
Aexact frequencies of many classes with 20 intervals✓
Bcorrelation between two variables✓
Ctime series seasonality only✓
Dparts of a whole as sectors proportional to percentages✓
💡 Explanation:
Sector angles are proportional to share of total.
Q10Past Paper · PPSC/FPSC/CSSmedium
A frequency polygon is constructed by
Ajoining class midpoints at their frequencies✓
Bjoining upper class limits without midpoints✓
Cplotting raw data only without grouping✓
Dusing only cumulative frequencies at lower limits✓
💡 Explanation:
Points at (class mark, frequency) are connected.
Q11Past Paper · PPSC/FPSC/CSSmedium
An ogive (cumulative frequency curve) plots
Aonly class midpoints against simple frequency✓
Bonly raw values in stem-and-leaf form✓
Ccumulative frequency against upper class boundaries✓
Donly deciles without cumulative totals✓
💡 Explanation:
Ogive shows running total of frequencies.
Q12Past Paper · PPSC/FPSC/CSSeasy
A line graph is most suitable for
Aunordered nominal categories only✓
Bparts of a single whole at one time✓
Copen-ended class intervals without order✓
Dshowing trends over time✓
💡 Explanation:
Time on the horizontal axis and values connected show trends.
Q13Past Paper · PPSC/FPSC/CSSmedium
Stem-and-leaf display is useful because it
Adestroys all original digits✓
Bpreserves actual data values while showing shape✓
Conly works for nominal data✓
Dcannot show more than 10 observations✓
💡 Explanation:
Stems and leaves retain raw information in sorted form.
Q14medium
In a stem-and-leaf plot for 23, 25, 27 the stem 2 might show leaves
A23 25 27 as one leaf✓
Bonly the mean 25✓
Conly the range 4✓
D3 5 7✓
💡 Explanation:
Each digit leaf attaches to its stem digit.
Q15Past Paper · PPSC/FPSC/CSSeasy
A boxplot (box-and-whisker) shows
Amedian, quartiles and potential outliers✓
Bonly the mode and range without quartiles✓
Conly cumulative frequencies✓
Donly regression line slope✓
💡 Explanation:
Box spans Q1–Q3 with median line; whiskers extend to extremes.
Q16Past Paper · PPSC/FPSC/CSSmedium
In a boxplot, the box spans
Athe full range from minimum to maximum always✓
Bonly the mean ± 1 SD✓
Cthe interquartile range from Q1 to Q3✓
Donly the mode to median✓
💡 Explanation:
IQR = Q3 − Q1 is the box width.
Q17medium
Positive skew in a histogram appears as
Aa tail extending toward higher values on the right✓
Ba tail extending toward lower values on the left✓
Cperfect symmetry always✓
Dzero frequency in all classes✓
💡 Explanation:
Right tail means mean typically exceeds median.
Q18medium
Negative skew in a histogram appears as
Aa tail extending to the right only✓
Ba tail extending toward lower values on the left✓
Csymmetric bell shape only✓
Dequal mean and median always✓
💡 Explanation:
Left tail pulls the mean below the median.
Q19hard
Equal class widths in a histogram are preferred because
Aunequal widths never matter✓
Bonly aesthetics require it✓
Cbar area then represents frequency proportionally✓
Dfrequencies must be cumulative✓
💡 Explanation:
With equal widths, height reflects frequency; unequal widths need density.
Q20easy
Relative frequency of a class is
Aclass frequency multiplied by 100 only without dividing by n✓
Btotal frequency divided by class frequency✓
Cmean of class limits✓
Dclass frequency divided by total number of observations✓
💡 Explanation:
Relative frequency = f / N.
Q21easy
Percentage frequency is
Atotal frequency divided by 100✓
Bclass width times frequency✓
Cstandard deviation of the class✓
Drelative frequency multiplied by 100✓
💡 Explanation:
Percent = (f/N) × 100.
Q22medium
Cumulative frequency up to a class gives
Aonly the class midpoint✓
Bonly the variance of that class✓
Cthe count of observations less than or equal to that class upper limit✓
Donly the mode of the dataset✓
💡 Explanation:
CF answers "how many are at or below this value".
Q23easy
A frequency table for qualitative data lists
Acategories and their counts or percentages✓
Bonly class midpoints for continuous data✓
Conly regression residuals✓
Donly probability density functions✓
💡 Explanation:
Nominal/ordinal variables are tabulated by category.
Q24hard
Open-ended class intervals such as "60 and above" affect
Aonly pie charts but not histograms✓
Bcomputation of mean from grouped data unless assumed midpoint✓
Conly ratio scale definition✓
Donly sample size n✓
💡 Explanation:
An assumed midpoint is needed for grouped mean calculations.
Q25medium
A contingency table cross-classifies data by
Atwo categorical variables✓
Bone continuous variable over time✓
Conly cumulative frequencies✓
Donly deciles of one variable✓
💡 Explanation:
Rows and columns show joint category counts.
Q26medium
Misleading graphs often involve
Alabeling both axes clearly✓
Busing consistent scales✓
Ctruncated vertical axes that exaggerate differences✓
Dshowing source of data✓
💡 Explanation:
Axis manipulation can visually distort small changes.
Q27easy
For grouped data 10–19 (f=5), 20–29 (f=8), total frequency is
A5✓
B8✓
C21✓
D13✓
💡 Explanation:
Total N = 5 + 8 = 13.
Q28easy
If total frequency is 50 and a class has frequency 10, relative frequency is
A0.10✓
B0.20✓
C0.50✓
D5.0✓
💡 Explanation:
10/50 = 0.20.
Q29easy
A pictogram uses
Aonly mathematical integrals✓
Bonly boxplot whiskers✓
Conly correlation coefficients✓
Dpictures or icons to represent quantities✓
💡 Explanation:
Icons must scale carefully to avoid visual distortion.
Q30medium
Class limits 10–19 and 20–29 are
Adiscrete stated endpoints of classes✓
Balways the same as class boundaries✓
Calways equal to quartiles✓
Dalways the cumulative frequency✓
💡 Explanation:
Limits are recorded; boundaries adjust for continuity.
Q31hard
To convert a histogram to frequency polygon, one often adds
Aonly the median class✓
Bonly outliers as separate polygons✓
Czero-frequency classes at both ends✓
Donly cumulative totals✓
💡 Explanation:
End classes at zero frequency close the polygon to the axis.
Q32medium
A table showing rows as regions and columns as products sold is
Aa time series table✓
Ba cross-tabulation or contingency table✓
Ca stem-and-leaf plot✓
Da Lorenz curve✓
💡 Explanation:
Two-way tables show joint category frequencies.
Q33medium
Deciles divide ordered data into
Aten equal parts✓
Btwo equal parts only✓
Cfour equal parts only✓
Done hundred equal parts only✓
💡 Explanation:
D1 to D9 are decile cut points.
Q34easy
Percentiles divide ordered data into
Aten parts only✓
Bonly quartiles✓
Conly deciles with no finer splits✓
Dhundred equal parts✓
💡 Explanation:
The 75th percentile is Q3.
Q35medium
A frequency curve is a smooth curve fitted to
Aonly nominal categories without order✓
Bonly two data points✓
Ca frequency distribution✓
Donly hypothesis test results✓
💡 Explanation:
Smoothing helps visualize population shape.
Q36easy
In CSS statistics, presentation questions often require
Aderiving maximum likelihood estimators only✓
Bchoosing the correct graph for data type✓
Csolving differential equations only✓
Dproving central limit theorem from scratch✓
💡 Explanation:
Exam items test tables, charts and appropriate displays.
Q37easy
Grouped data class 30–39 with frequency 12 means
Athe mean is 30✓
Bthe median is 39✓
C12 observations fall in that interval (per stated limits)✓
Dthe total sample is 12 only✓
💡 Explanation:
Frequency counts observations in the class.
Q38easy
A cumulative percentage ogive reaches
A50% at the first class always✓
B0% at the maximum value✓
C200% at the last boundary✓
D100% at the end of the distribution✓
💡 Explanation:
All relative frequencies sum to 100%.
Q39medium
Side-by-side bar charts are useful to compare
Asubgroups across categories✓
Bonly one series over time✓
Conly a single numeric variable distribution✓
Donly correlation strength✓
💡 Explanation:
Multiple bars per category compare series.
Q40easy
The main purpose of data presentation is to
Ahide variation deliberately✓
Bcommunicate patterns clearly and accurately✓
Cavoid all labels and titles✓
Dreplace all analysis with graphs only✓
💡 Explanation:
Good presentation supports correct interpretation.