SUGAR Listed below are measured weights (mg) of sugar in Domino packets labelled as containing 3500 mg (or 3.5 g). Are the data qualitative or quantitative? What is the level of measurement of the data (nominal, ordinal, interval, or ratio)? Before any rounding, are the weights discrete or continuous? Given that the weights are from Domino sugar packets selected from a much larger population, are the weights a sample or a population? If we calculate the mean of the listed values, is the result a statistic or a parameter? 3511 3516 3521 3531 3532 3545 3583 3588 3590 3617 3621 3635 3638 3643 3645 3647 3666 3673 3678 3723 2. FREQUENCY DISTRIBUTION Using the data from Exercise 1, construct a frequency distribution using a class width of 50 mg and a first class with a lower class limit of 3500 mg. 3. HISTOGRAM Use the frequency distribution from Exercise 2 to construct a histogram. Use class midpoint values for the horizontal scale

MATLAB: An Introduction with Applications
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1. SUGAR Listed below are measured weights (mg) of sugar in Domino packets labelled as containing 3500 mg (or 3.5 g). Are the data qualitative or quantitative? What is the level of measurement of the data (nominal, ordinal, interval, or ratio)? Before any rounding, are the weights discrete or continuous? Given that the weights are from Domino sugar packets selected from a much larger population, are the weights a sample or a population? If we calculate the mean of the listed values, is the result a statistic or a parameter?

3511 3516 3521 3531 3532 3545 3583 3588 3590 3617 3621 3635 3638 3643 3645 3647 3666 3673 3678 3723

2. FREQUENCY DISTRIBUTION Using the data from Exercise 1, construct a frequency distribution using a class width of 50 mg and a first class with a lower class limit of 3500 mg.

3. HISTOGRAM Use the frequency distribution from Exercise 2 to construct a histogram. Use class midpoint values for the horizontal scale.

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