The average of all values in a subset of the population. It is calculated by taking the sum of all values in a sample and dividing by the sample size and can be used as an estimate of the population mean. A measure of dispersion around the mean equal to the positive square root of the variance. It tells us how large a difference from the mean can be expected in the data. A low number indicates that most of the data are near the mean. A high number means that the data is spread out. A measure of dispersion around the mean. It is the average of the squared distances between an observation and the mean. A high number indicates the data is spread out across a wide range of values. A Low number indicates the data is bunched around the mean value.
The average of all values in a subset of the population. It is calculated by taking the sum of all values in a sample and dividing by the sample size and can be used as an estimate of the population mean. A measure of dispersion around the mean equal to the positive square root of the variance. It tells us how large a difference from the mean can be expected in the data. A low number indicates that most of the data are near the mean. A high number means that the data is spread out. A measure of dispersion around the mean. It is the average of the squared distances between an observation and the mean. A high number indicates the data is spread out across a wide range of values. A Low number indicates the data is bunched around the mean value.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
As a data analyst, you are presenting to a companies board of advisors and are asked to explain the statistical terms in a regular day language. Match the term to the appropriate definition.
![37 (select)
The average of all values in a subset of the population. It is calculated by taking the sum of all values in a sample and dividing by the sample size and can be used as an estimate of the population mean.
38
39 [select]
A measure of dispersion around the mean equal to the positive square root of the variance. It tells us how large a difference from the mean can be expected in the data. A low number indicates that most of
the data are near the mean. A high number means that the data is spread out.
40
41
42
43 [select]
A measure of dispersion around the mean. It is the average of the squared distances between an observation and the mean. A high number indicates the data is spread out across a wide range of values. A
Low number indicates the data is bunched around the mean value.
44
A5
45
46
47 [select)
The level of significance needed to reject the null hypothesis. It is the maximum allowable probability of false negative, where the nulI hypothesis is rejected when it is in fact true. This value is set by the
investigator of the hypotheses. For example, if you want to be 95% confident in your statistical conclusions, you have a level of significance of 5%.
48
49
50
51 [select)
A speculated value for the population average used in the null hypothesis. In a one-sample t-test this is the benchmark value that the sample mean is compared against.
52](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F68cc5e62-1f1e-447e-86e2-72966307f0c4%2F4be1b628-7c43-4d20-a360-9c8fc8953ea9%2Fv0qkog_processed.jpeg&w=3840&q=75)
Transcribed Image Text:37 (select)
The average of all values in a subset of the population. It is calculated by taking the sum of all values in a sample and dividing by the sample size and can be used as an estimate of the population mean.
38
39 [select]
A measure of dispersion around the mean equal to the positive square root of the variance. It tells us how large a difference from the mean can be expected in the data. A low number indicates that most of
the data are near the mean. A high number means that the data is spread out.
40
41
42
43 [select]
A measure of dispersion around the mean. It is the average of the squared distances between an observation and the mean. A high number indicates the data is spread out across a wide range of values. A
Low number indicates the data is bunched around the mean value.
44
A5
45
46
47 [select)
The level of significance needed to reject the null hypothesis. It is the maximum allowable probability of false negative, where the nulI hypothesis is rejected when it is in fact true. This value is set by the
investigator of the hypotheses. For example, if you want to be 95% confident in your statistical conclusions, you have a level of significance of 5%.
48
49
50
51 [select)
A speculated value for the population average used in the null hypothesis. In a one-sample t-test this is the benchmark value that the sample mean is compared against.
52
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