All GMAT Math Resources
Example Questions
Example Question #161 : Arithmetic
Calculate the average of the set of numbers.
Statement 1: the range of the set is 13
Statement 2: the mode of the set is 16
BOTH statements TOGETHER are sufficient, but NEITHER statement ALONE is sufficient.
Statements 1 and 2 TOGETHER are NOT sufficient.
Statement 2 ALONE is sufficient, but statement 1 is not sufficient.
EACH statement ALONE is sufficient.
Statement 1 ALONE is sufficient, but statement 2 is not sufficient.
Statements 1 and 2 TOGETHER are NOT sufficient.
To answer this question, we must understand the vocabulary. The range of a set is the difference between the largest and smallest numbers. The mode of a set is the number which comes up most frequently. Neither the range nor the mode, nor both, will help us solve for the average, however.
Example Question #162 : Arithmetic
A high school basketball player practices 40 free throws every day. Over the past 90 days he has averaged 25 successful free throws.
What is the probability that tomorrow he will make 30 or more free throws?
standard deviation =
Percentile =
Example Question #2 : Descriptive Statistics
We think that our average customer spends roughly $40 - $60 every time he/she visits our website. We can assume that the expenditure amounts are normally distributed, but, we do not know the standard deviation. We sample 15 web expenditures; our sample average is $52 and our sample standard deviation is $8.
We are 95% sure that our true population average is $52 plus or minus....
$4.05
$11.56
$15.68
$17.16
$4.43
$4.43
standard deviation of the sample mean is:
95% for 14 d.o.f. =
confidence interval is
Example Question #3 : Dsq: Calculating Range
The average score on a statistics test is 70%. The standard deviation is 10%.
What is the minimal test score that Judy needs in order to reach the 90th percentile?
One tailed test (Z table)
In English - Judy must be at least 1.28 standard deviations above the average.
Example Question #3 : Range
Our final sales figures (in millions) for the year are:
Use Excel to calculate the correlation coefficient between the month number
etc.
and the sales figure(s).
Also, compute the value for testing the confidence level for the correlation coefficient.
Excel indicates the correlation coefficient is
the formula for is -
Example Question #3 : Descriptive Statistics
Our final sales figures (in millions) for the year are:
Using the above data, calculate the regression line
that best fits the data.
Hint – make the month number
etc.
the independent variable and make the sales figure the dependent variable . Use Excel to calculate the slope.
Excel indicates the slope is
Example Question #3 : Dsq: Calculating Range
The average sales price of a home in Ourtown U.S.A. is $120,000.
The population standard deviation is $20,000.
What is the probability that the next home will sell for more than $130,000?
z=
translates to:
percentile (below) and
percentile (above).
Example Question #1 : Descriptive Statistics
We are trying to determine the average age of the Cardinal baseball fan. We know that the age distribution of Cardinal nation is normally distributed with a standard deviation of 20. We need to determine the average age. We take a sample of 40 fans and the average of our sample is 42 years old.
What is the 95% confidence interval (range) for our sample average of 42? (remember – confidence intervals are always 2- tailed (plus or minus)).
The z value for 95th percentile is:
the sample standard deviation is:
Example Question #9 : Dsq: Calculating Range
We are trying to determine the average age of the Cardinal baseball fan. We know that the age distribution of Cardinal nation is normally distributed with a standard deviation of 20. We need to determine the average age. We take a sample of 40 fans and the average of our sample is 42 years old.
However, the Cardinal President of Operations wants a 98% confidence interval of plus or minus 5.0. What sample size do we need to satisfy his request?
solve for
Example Question #6 : Dsq: Calculating Range
The Cardinals average 4 extra inning games per month.
What is the probability that they will have more than 4 extra inning games next month? Hint – Poisson distribution.