qnt 2024 midterm exam questions with all correct a
what are the different types of data
what are the different types of numerical quantit
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QNT 2024 MIDTERM EXAM QUESTIONS WITH ALL CORRECT Evatee 7/4/24 QNT QNT 2024 MIDTERM EXAM QUESTIONS WITH ALL CORRECT ANSWERS!!
What are the different types of data? Answer - numerical - quantitative categorical - qualitative
What are the different types of numerical (quantitative) variables? Answer - 1. Discrete - count of something
2. Continuous - the measure of something (waiting time, salary)
What is a parameter? Answer - A numerical summary of a population. Like a mean, median, range... of a population
What is a statistic? Answer - A numerical summary of a sample. Like a mean, median, range... of a sample.
What are histograms? Answer - Graphical representation of the distribution of data, and the probability of occurrence.
•Usually represented in adjacent rectangles.
•Can be represented in ordinary or cumulative form What are histograms used for? Answer - To observe the spread of variability of the data or determine the shape of the data.
What is a frequency distribution? Answer - A table, or a chart, that shows how often certain values or categories occur in a data set.
How wide do bin limits have to be in a histogram? Answer - The width of the bin limits must all be the same except when we have open ended bins.
Skewness Answer - A measure of the shape of a data distribution. Data skewed
to the left result in negative skewness; a symmetric data distribution results in zero skewness; and data skewed to the right result in positive skewness.
What is the shape of the data when mean < median Answer - left skewed
What is the shape of the data when mean > median Answer - right skewed
What is the shape of the data when mean = median Answer - symmetrical
What are scatter plots? Answer - A graphed cluster of dots, each of which represents the values of two variables. The slope of the points suggests the direction of the relationship between the two variables. The amount of scatter suggests the strength of the correlation.
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