The deviation tells us how far a given point is from the mean value. Why doesn't thesum of deviations tell us anything useful about the overall dispersion of the data.Because the sum of deviations from the mean is by definition zero in all cases.Because calculation of the mean is arithmetic but the corresponding deviationsare geometric, so a simple linear sum would tell us nothing.Because there is no apriori expectation of any particular distribution ofdeviations that can be anticipated from the raw data.Because not everything that seems like it should be useful is actually useful.Look at our instructor for example.All of the above. Nearest Neighbour Analysis can produce errors if a point near the boundary has anearest neighbour that is outside of the boundaries of the study area. This problemcan be addressed by:1) Create a buffer around your study region.2) Include points in the buffer zone as nearest neighbours to points inside the study.3) Check to make sure none of the new points have a nearest neighbor that isoutside the buffer zone.TrueFalse

Nearest Neighbour Analysis: measures the spread or distribution of something over a geographical…

Answered: The deviation tells us how far a given…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Which of the following statements is not true? There is only one median for each variable. One definition of the median states that, for an odd number of observations, the median is the middle score when scores are placed in order of magnitude. Another term for the median is 50th percentile. The median is generally more sensitive to (i.e., affected by) the presence of a few extreme observations than is the mean.
Andrew plans to retire in 40 years. He plans to invest part of his retirement funds in stocks, so he seeks out information on past returns. He learns that over the entire 20th century, the real (that is, adjusted for inflation) annual returns on U.S. common stocks had mean 8.7% and standard deviation 20.2%. The distribution of annual returns on common stocks is roughly symmetric, so the mean return over even a moderate number of years is close to Normal. What is the probability (assuming that past pattern of variation continues) that the mean annual return on common stocks over the next 40 years will exceed 10%? What is the probability that the mean return will be less than 5%?
Which of the statements below is true about the standard error of the sampling distribution of the sample mean. It measures the variabilty of the mean from sample to sample. It is less than the standard deviation of the population. All of the above. It decreases as the sample size increases.
Which of the following is True about the Z-score of an observation? A. The Z-score of an observation is defined as the number of standard deviations from the mean. B. If the observation is twice as large as the mean, its Z-score is 1. C. The Z-score of an observation is a number between 0 and 1. D. If the observation is right at the mean, its Z-score is 1.
Which of the following are desired properties of a point estimator? We would like the estimator to be unbiased. We would like the estimator to be consistent. We would like the estimator to have a large standard deviation. Both a and b are true. All of a, b and c are true.
B Choosing a topic Sk.. For data that is not normally distributed we can't use z-scores. However, there is an equation that works on any distribution. It's called Chebyshev's formula. The formula 1 where p is the minimum percentage of scores that fall within k k2 is p = 1 - standard deviations on both sides of the mean. Use this formula to answer the following questions. a) If you have scores and you don't know if they are normally distributed, find the minimum percentage of scores that fall within 2.2 standard deviations on both sides of the mean? b) If you have scores that are normally distributed, find the percentage of scores that fall within 2.2 standard deviations on both sides of the mean? c) If you have scores and you don't know if they are normally distributed, how many standard deviations on both sides of the mean do we need to go to have 64 percent of the scores? Note: To answer part c you will need to solve the equation for k.
No need for explanation
I have struggled with questions related to the one in the image attached. What makes these data distributions such as these symmetrical and non-symmetrical? I have had multiple various questions of this type and I cannot get any of them right when it seems VERY easy to figure out just by looking at the numbers alone. I even DRAW OUT the graphs to give a better visual but I assume I am just missing or over-thinking some simple concepts.
C. Atlantic Video is planning to add the new Marvel movie to their collection, and they predict that this will double their demand (i.e. new arrival rate is 60 customers every hour) and halve the standard deviation of the inter-arrival times. However, they want to keep the average waiting time of customers in line the same as before. Assume that the coefficient of variation for the check-out times does not change. Please answer the following questions. 1) Does the employee need to work twice as fast? If not, calculate the new service rate. 2) What is the average number of customers in the store?
#21). Show how to solve and work.
The lengths of pregnancies in a small rural village are normally distributed with a mean of 267 days and a standard deviation of 15 days.In what range would you expect to find the middle 95% of most pregnancies?Between and .If you were to draw samples of size 55 from this population, in what range would you expect to find the middle 95% of most averages for the lengths of pregnancies in the sample?Between and .

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS