7. For a normal distribution, the histogram will be bell-shaped and the normal quantile plot will have data points follow a straight-line pattern. 8. From the table, NR² (right chi-squared) is found to be 38.4158. So, it can be assumed that N² (left chi-squared) will be -38.4158. 9. Subtracting the lower class limit from the upper class limit will give the class width of any class in a frequency distribution table.

MATLAB: An Introduction with Applications
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7. For a normal distribution, the histogram will be bell-shaped and the normal
quantile plot will have data points follow a straight-line pattern.
8. From the table, Nr² (right chi-squared) is found to be 38.4158. So, it can be
assumed that NL² (left chi-squared) will be -38.4158.
9. Subtracting the lower class limit from the upper class limit will give the
class width of any class in a frequency distribution table.
Transcribed Image Text:7. For a normal distribution, the histogram will be bell-shaped and the normal quantile plot will have data points follow a straight-line pattern. 8. From the table, Nr² (right chi-squared) is found to be 38.4158. So, it can be assumed that NL² (left chi-squared) will be -38.4158. 9. Subtracting the lower class limit from the upper class limit will give the class width of any class in a frequency distribution table.
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