An auto analyst would like to know what kind of cars (domestic, European, Japanese, Others) people are driving in USA. He randomly sampled 20 drivers and got the following results (D=domestic, E=European, J=Japanese, O=others):
D J O D J J D D E E E J D D E J J J J D
(a) What is the population and what is the sample in this study?
(b) What is the variable of interest in this data set and what is the type of this
variable?
(c) Construct a relative frequency table for the kind of cars in this data set.
(d) What is the proportion of cars that are domestic?
(e) Use an appropriate graphical method to describe the data.
(f) Based on your results, can you infer what kind of cars people are driving in Japan?

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step-by-step explanation:

consider an orange peel: if you want to try and lay it flat, you have to stretch it, we know exactly how things are being stretched or squashed at any given point. we have many different map projections because each has different patterns of some projections can even preserve certain features of the earth without

step-by-step explanation:

rectangles are made up of 4 right angles, which means that a side and a base meet perpendicular to one another.   their slopes then have to reflect perpendicular slopes.   perpendicular slopes are opposite reciprocals of one another.   for example, if the slope of one line is +2/3, then the perpendicular slope to that would be -3/2.   so we look for that combination in our choices.

all of them satisfy that condition (so what's the question, i guess? )