Flavia was curious if a sample first quartile lor Q1) was an unbiased estimator of a population first quartile She started with a large normally distributed population of test scores whose first quartile was Q1 = 70 points. She then took a random sample of 6 tests and calculated the first quartile of the sample. She replaced those tests and repeated this process for a total of 50 trials. Her results are summarized in the dotplot below, where each dot represents the first quartile from a sample of 6 tests. 60 61 68 72 Sample first quartile 76 80 Based on these results, does sample first quartile appear to be a blased or unbiased estimator of 6 of 9

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step-by-step explanation:

b. hannah is playing with her cousin at

no oblique asymptote

step-by-step explanation:

to find the oblique asymptote of f(x)

here numerator has degree 1 and denomintor degree 2

degree of numerator < degree of denominator

hence there is no oblique asymptote

when the degree of the denominator > that of the numerator, we saw that the value in the denominator got so much bigger, so quickly,   giving us a horizontal asymptote of the x-axis. or we can write

f(x) = a polynomial of x + a proper fraction.

in this case only we have oblique asymptotes but not when numerator has less degree.

the answer is d

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