The heights of young women follow a Normal distribution with a mean u = 64.5 inches and standard deviation o = 2.5 inches. The probability that the mean height of an SRS of 10 young women exceeds 66.5 inches is ＿

normalcdf(66.5, 99999999, 64.5, 2.5)

1 - normalcdf(66.5, 99999999, 64.5, 0.7906)

normalcdf(-99999999, 66.5, 64.5, 2.5)

normalcdf(66.5, 99999999, 64.5, 0.7906)

normalcdf(66.5, 99999999, 0, 1)

1 - normalcdf(66.5, 99999999, 64.5, 2.5)

1 - normalcdf(66.5, 99999999, 0, 1)

normalcdf(--99999999, 66.5, 64.5, 0.7906)

plz need help number 1 2 3 4 5 are pic

8 0

3 years ago

Approximate the data using the line y = 0.25x + 3. Find the data point that has the residual with the greatest absolute value. G

ohaa [14]

Solution: We are given data points and associated residuals:

Data Point Residual Absolute value(Residual)

(20,6) -2.00 2.00

(15,5) 6.75 6.75

(5,3) -1.25 1.25

(10,10) 4.50 4.50

From the above absolute value(Residual) column, we clearly see the data point (15,5) has the residual with greatest absolute value of 6.75.

Therefore, the data point and its associated residual is:

(15,5) and 6.75

5 0

3 years ago

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