Which of the Following Statements Is True About Standard Deviation

The sampling distribution of x has standard deviation σ n even if the population is not normally distributed. Is the square root of the variance.

Interpreting Confidence Level Example Video Khan Academy

A I and II b I and III c II and III d I II and III e None of the above gives the complete set.

. Standard deviation is inflated by outliers. The standard deviation of a set of values is equal to 00 if and only if all of the values are the same. Standard deviation shows the variation from the expected return.

Which of the following statements is TRUE about the interpretation of the values of variance and standard deviation. A negative value of standard deviation or variance indicates that the distribution of the random variable is concentrated. Is denominated in the same units as the original data.

The standard deviation is always represented by the same unit of measurement as the variable in question. Thus standard deviation is a standard measure of dispersion of data or risk. So the standard deviation is the average distance to the mean.

Narrowly around the mean C. It is a measure of variation around the mean. 1-The standard deviation becomes larger as more people have scores that lie farther from the mean value.

The standard deviation is. It is a measure of central tendency. It is the difference between the minimum and maximum values.

It deals with the average or center of location of the probability distribution. Interestingly standard deviation cannot be negative. Which of the following statements is true of a portfolios standard deviation.

It shows the spread out or dispersion of discrete random variables. O It is the difference between the first and third quartile. B Normal with mean μ 43 minutes and standard deviation σ 624 minutes.

Standard deviation is the measure of how widely scores vary from the mean. Find step-by-step Economics solutions and your answer to the following textbook question. The standard deviation is zero only when all values are the same.

O Removing an outlier will increase the standard deviation. A standard deviation is calculated by taking the square root of variance and as such the value of standard deviation is always a positive number and not a negative number. Which of the following statements is true of the standard deviation.

If mean 2 5 and standard deviation is 5 then coeficient of variation is-. The more spread out the scores in the distribution the larger the standard deviation. - Standard deviation is the square root of variance - Computation of variance requires the use of a computer - Variance is a measure of the squared deviations of a securitys return from its expected return - Variance measures a securitys expected return over many periods.

Which of the following statements is true about standard deviation. The true statement about standard deviation is that standard deviation is always a non-negative number. A small value of variance or standard deviation indicates that the distribution of the discrete random variable is closer about the mean.

Multiple Choice It is an arithmetic average of the standard deviations of the individual securities which comprise the portfolio. Can be a positive or negative number. A small value of standard deviation or variance indicates that the distribution of the random variable is concentrated narrowly.

This makes its interpretation easier compared to the variance. 2-The standard deviation is simply the difference between the highest score and the lowest score. Can be a positive or a negative number.

A Normal with mean μ 43 minutes and standard deviation σ 6 minutes. Is denominated in the same units as the original data. A distribution with scores clustering more closely to the mean has a smaller standard deviation.

It is a measure of variation around the median. Higher standard deviation means the data is highly dispersed from its expected return and low standard deviation shows that data is somewhat near the. Is the square of the variance.

3-The standard deviation is calculated by multiplying the variance of given data with its. Standard deviation is either positive or negative. Which of the following statements is true.

The sampling distribution of x is normal if the population has a normal distribution. The values closer from ux have equal probability. A large value of variance or standard deviation indicates that the distribution.

It can be less than the standard deviation of the least risky security in the portfolio. Is the arithmetic mean of the squared deviations from the mean. It can never be less than the standard deviation of.

Standard deviation is sensitive to outliers. Which of the following are true statements. The standard deviation is the square root of the variance.

The standard deviation is strongly affected by outliers. It is the square of the variance. Which of the following statements about the standard deviation isare true.

Select all of the true statements about the standard deviation of a quantitative variable. Which of the following statements are true about variance. It is obtained by multiplying the x values and their corresponding probability.

Which of the statements about the standard deviation is true. Standard deviation is the square root of variance. RATIONALE Recall that the standard deviation SD is equal to the square root of the variance and the variance is the average of the squared distances from the mean.

Standard deviation is used even when the mean is not an appropriate measure of center. Removing an outlier will decrease the standard deviation. Standard deviation has no unit of measurement.

Standard deviation is resistive to unusual values. Which of the following statements are true. Standard deviation is the only measure of variability in a frequency distribution.

Standard deviation represents how far a group of values are from the mean of those values on average. Which of the following statements is TRUE about the standard deviation of a discrete random variable. A single outlier can raise the standard deviation and in turn distort the picture of spread.

C Cannot be determined because the sample size is too small.

Solved Question 4 Which Of The Following Statements Is True Chegg Com

Solved Statistics Stat 101 Marks 30 Answer All The Chegg Com

Sample Multiple Choice Questions For The Material Since Midterm 2

Solved Which Of The Following Statements Are True There May Chegg Com

Solved Question 1 Which Of The Following Statements About Chegg Com

10 Stats Flashcards Quizlet

Quiz Worksheet Factors Of High Stakes Testing Study Com

Solved Statistics Stat 101 Marks 30 Answer All The Chegg Com

Mcq Measures Of Dispersion With Correct Answers

Answered Which Of The Following Statements Is Bartleby

Chapter 8

2

Ncert Exemplar Solutions For Class 7 Maths Chapter 1 Integers Access Free Pdf

Answered What S More Directions Read The Bartleby

Which One Of The Following Statements Is Accurate In 2022

10 Stats Flashcards Quizlet

The Mean And Standard Deviation Of 20 Observations Are Found To Be 10 And 2 Respectively One Rechecking It Was Found That An Observation 8 Was Incorrect Calculate The Correct Mean And

Ncert Exemplar Class 10 Science Solutions Chapter 8

Nine Flashcards Quizlet