MBA Data Interpretation — practice questions
44 free MCQs with worked solutions. Tap any question for the answer + explanation, or practice them all in the app.
Practice MBA Data Interpretation in the app →The two most widely used measures of the centre of a data set are the median and the:Adding fifty weights and dividing by fifty gives the:The number that separates ordered data into two equal halves is the:The most frequent value in a data set is the:A data set can have more than one mode as long as those values share the:Numbers that separate data into quarters are called:About what share of the data falls on or below the first quartile?To find the quartiles, you must first find the:The spread of the middle half of the data is measured by the:If the first quartile is 20 and the third is 44, the interquartile range is:An observation that does not fit with the rest of the data is called an:A histogram where a vertical line splits it into mirror halves shows a distribution that is:A histogram whose right-hand side looks chopped off compared with the left is described as:A histogram whose long tail stretches out to the higher values is:A quick graph that shows the exact values while revealing the pattern is a:The variation of data values around the centre is captured by the:A data set whose values sit closely near the mean will have a standard deviation that is:For the data 4, 5, 6, 6, 6, 7, 7, 7, 7, 8, the most frequent value is:For that same set of ten values, the median is the average of which two ordered values?The median of that set, 4, 5, 6, 6, 6, 7, 7, 7, 7, 8, is:Quartiles and percentiles are together described as the common measures of:The median differs from the mean in that the median does not have to be:A number that represents a property of a sample is called a:The corresponding number describing the whole population is a:How accurately a sample figure estimates the population figure depends on how well the sample:Studying an entire population is often avoided because it:Data that come from categorising or describing attributes are called:Data that are always numbers, produced by counting or measuring, are:Data produced purely by counting, taking only certain numerical values, are quantitative:Data that may include fractions and decimals, often from measuring, are quantitative:The number of books five students carry is an example of which data type?The weights in pounds of those students' backpacks are an example of:A sampling method where the population is first divided into groups and members are drawn from each group is:A method where whole groups are chosen at random and everyone in them is studied is:A method where every nth member of a list is chosen is:A non-random method that simply uses whatever results are readily available is:Errors caused by the actual process of sampling, such as too small a sample, are:When some members of a population are less likely to be chosen than others, the result is:A good sample should have the same characteristics as:Treating one maths class as a sample of all maths classes lets you compute a class average as a:The average amount spent by all first year students at a college this term would be a:Besides simple random sampling, other methods involving chance include stratified, cluster and:A software store interviewing whichever shoppers walk past its counter is using:Hair colour, blood type and the car a person drives are all examples of: