The director of a medical hospital feels that her suraeons perform more operations per year than the national average of 211. She selected a random sample of 15 surgeons and found that the mean number of operations they performed was 213.3. The standard deviation of the sample was 3.8. Is there enough evidence to support the director's feelings at a =0.05? Assume that the population is approximately normally distributed. Use the critical value method and tables. H0: H1: the hypothesis test is a

The director of a medical hospital feels that her suraeons perform more operations per year than the national average of 211. She selected a random sample of 15 surgeons and found that the mean number of operations they performed was 213.3. The standard deviation of the sample was 3.8. Is there enough evidence to support the director's feelings at a =0.05? Assume that the population is approximately normally distributed. Use the critical value method and tables. H0: H1: the hypothesis test is a

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.5: Comparing Sets Of Data

Problem 14PPS

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Question

The director of a medical hospital feels that her suraeons perform more operations per year than the
national average of 211. She selected a random sample of 15 surgeons and found that the mean number of operations they
performed was 213.3. The standard deviation of the sample was 3.8. Is there enough evidence to support the director's feelings at a =0.05? Assume that the population is approximately normally distributed. Use the critical value method and tables.

H0:

H1:

the hypothesis test is a

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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