Mathematics ยท Quantitative Aptitude

Statistics and Dispersion

559 Questions

Statistics and dispersion involve the calculation of mean, standard deviation, variance, and coefficient of variation for data sets. These questions also cover probability distributions and cumulative frequency analysis. Such quantitative aptitude topics are heavily featured in banking and SSC examinations.

Standard deviationNormal distributionMean calculationCumulative frequencyCoefficient of variation

Statistics and Dispersion Questions

Multiple choice technology databases
  1. SUM

  2. AVG

  3. trim

  4. median

Reveal answer Fill a bubble to check yourself
A,B,D Correct answer
Explanation

Aggregate functions perform calculations on multiple values and return a single result. SUM and AVG are standard SQL aggregate functions. Median is also an aggregate function (though not available in all SQL dialects). Trim is a string manipulation function that operates on individual values, not sets.

Multiple choice technology testing
  1. 4

  2. 5

  3. 6

  4. 8

Reveal answer Fill a bubble to check yourself
C Correct answer
Explanation

Process capability (Cp) is defined as the specification width divided by 6 times the process standard deviation. This formula shows how many 6-sigma intervals fit within specification limits. A capable process typically has Cp at least 1.0, meaning 6 sigma fits within specifications. The 6 sigma relationship is fundamental to process capability analysis.

Multiple choice technology testing
  1. Random

  2. Acceptance

  3. 100%

  4. Binomial

Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

The binomial distribution model applies to random sampling where each item has the same probability of being selected, and selections are independent. Acceptance sampling is a specific application, not the sampling type itself. 100% inspection is not sampling at all. Binomial sampling is redundant. Random sampling is the fundamental method that enables binomial distribution assumptions.

Multiple choice technology programming languages
  1. PROC MEANS DATA= ORGANIZATION MEDIAN MEAN CLM MAXDEC=0; Label TOTREV = 'Total Billed Revenue' TOTKWH = 'Total KwH Consumption'; VAR TOTREV TOTKWH; run;

  2. PROC MEANS DATA= ORGANIZATION MEDIAN MEAN UCLM ; Label TOTREV = 'Total Billed Revenue' TOTKWH = 'Total KwH Consumption'; VAR TOTREV TOTKWH; run;

  3. PROC MEANS DATA= ORGANIZATION MEDIAN MEAN LCLM Label TOTREV = 'Total Billed Revenue' TOTKWH = 'Total KwH Consumption'; VAR TOTREV TOTKWH; run;

  4. PROC MEANS DATA= ORGANIZATION MEDIAN SUM CLM MAXDEC=0; Label TOTREV = 'Total Billed Revenue' TOTKWH = 'Total KwH Consumption'; VAR TOTREV TOTKWH; run;

Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

CLM (confidence limits for the mean) generates confidence intervals around the mean. Option A correctly specifies CLM with MEDIAN and MEAN. UCLM and LCLM are separate options for upper/lower limits only - using them individually wouldn't give the full interval. Option D incorrectly uses SUM instead of CLM.

Multiple choice technology databases
  1. STDDEV

  2. VARIANCE

  3. ROUND

  4. COUNT

Reveal answer Fill a bubble to check yourself
C Correct answer
Explanation

ROUND operates on individual values, transforming each input row independently. In contrast, STDDEV, VARIANCE, and COUNT are aggregate functions that require processing multiple rows to compute statistical measures.

Multiple choice technology databases
  1. using AVG () function

  2. Using AVERAGE() function

  3. using SUM() and Count() functions

  4. using Total() function

Reveal answer Fill a bubble to check yourself
A,C Correct answer
Explanation

To calculate the average of a column, you can either use the built-in AVG() aggregate function directly or divide the sum of the values using SUM() by the count of the values using COUNT(). Both methods produce the correct average.

Multiple choice technology
  1. cum

  2. cume

  3. cumulative

  4. cumu

Reveal answer Fill a bubble to check yourself
B Correct answer
Explanation

In Informatica PowerCenter, the CUME() function calculates cumulative/running totals within a group. Unlike simple aggregation functions like SUM(), CUME maintains a running accumulation across rows, making it the correct choice for running total calculations.

Multiple choice technology programming languages
  1. Count

  2. Avg

  3. Total

  4. Max

Reveal answer Fill a bubble to check yourself
C Correct answer
Explanation

Count, Avg, and Max are all standard SQL aggregate functions that operate on sets of rows in GROUP BY queries. Total is not a standard SQL aggregate function (SUM would be the correct function), making it the correct answer to 'which is NOT a group function.'

Multiple choice technology programming languages
  1. True

  2. False

Reveal answer Fill a bubble to check yourself
B Correct answer
Explanation

Group functions like AVG and SUM can only be used on numeric columns that contain actual numeric data. They cannot be used on non-numeric data types (strings, dates, etc.) even if they appear numeric - the underlying data type matters. Additionally, these functions ignore NULL values in the numeric columns.

Multiple choice technology databases
  1. avg

  2. count

  3. abs

  4. min

Reveal answer Fill a bubble to check yourself
C Correct answer
Explanation

Grouping (aggregate) functions operate on sets of values and return a single result. AVG, COUNT, and MIN are all standard SQL aggregate functions used with GROUP BY. ABS is a single-row numeric function that returns the absolute value of one number - it does NOT group or aggregate data, making it the correct answer.