Which of the following is a consequence of increasing variability?Question 16 options:The distance from one score to another tends to increase, and asingle score tends to provide a more accurate representation of theentire distribution.The distance from one score to another tends to increase, and asingle score tends to provide a less accurate representation of theentire distribution. The distance from one score to another tends to decrease, and asingle score tends to provide a more accurate representation of theentire distribution.The distance from one score to another tends to decrease, and asingle score tends to provide a less accurate representation of theentire distribution.

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Answered: Which of the following is a consequence…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Example 16.5 following frequency distribution: Family income and its percentage spent on food in the case of 100 families gave the Food (percentage) Family income (Rs '000) 5-10 10-15 15-20 20–25 25-30 10-15 3 7 15-20 4 4 20-25 12 25-30 3 10 19 8 Calculate the coefficient of correlation and interpret the value.
______ variability may also be thought of as ______. Group of answer choices Within-group; ‘effect’ Between-group; ‘effect’ Unexplained; ‘effect’ Between-group; ‘error’
Serial correlation, also known as autocorrelation, describes the extent to which the result in one period of a time series is related to the result in the next period. A time series with high serial correlation is said to be very predictable from one period to the next. If the serial correlation is low (or near zero), the time series is considered to be much less predictable. For more information about serial correlation, see the book Ibbotson SBBI published by Morningstar. An Internet advertising agency is studying the number of "hits" on a certain web site during an advertising campaign. It is hoped that as the campaign progresses, the number of hits on the web site will also increase in a predictable way from one day to the next. For 10 days of the campaign, the number of hits × 105 is shown. Original Time Series Day 1 2 3 4 5 6 7 8 9 10 Hits × 105 1.3 3.5 4.4 7.2 6.8 8.3 9.0 11.3 13.1 14.7 Test ρ > 0 at the 1% level of significance. (Use 2 decimal places.) t
Serial correlation, also known as autocorrelation, describes the extent to which the result in one period of a time series is related to the result in the next period. A time series with high serial correlation is said to be very predictable from one period to the next. If the serial correlation is low (or near zero), the time series is considered to be much less predictable. For more information about serial correlation, see the book Ibbotson SBBI published by Morningstar.A company that produces and markets video games wants to estimate the predictability of per capita consumer spending on video games in a particular country. For the most recent 7 years, the amount of annual spending per person per year is shown here. Original Time Series Year 1 2 3 4 5 6 7 $ per capita 32.27 34.06 37.83 43.32 44.62 49.67 51.83 (a) To construct a serial correlation, we use data pairs (x, y) where x = original data and y = original data shifted ahead by one time period. Construct the data…
Pax World Balanced is a highly respected, socially responsible mutual fund of stocks and bonds. Vanguard Balanced Index is another highly regarded fund that represents the entire U.S. stock and bond market (an index fund). The mean and standard deviation of annualized percent returns are shown below. The annualized mean and standard deviation are for a recent 10-years period.†. If x represents return and s represents risk, then explain why the coefficient of variation can be taken to represent risk per unit of return. From this point of view, which fund appears to be better? Explain. A. Since the CV is s/s2 we can say that the CV represents the risk per unit of return; the Pax fund appears to be better because the CV is smaller. B. Since the CV is s/s2 we can say that the CV represents the risk per unit of return; the Vanguard fund appears to be better because the CV is smaller. C. Since the CV is s/x we can say that the CV represents the risk per unit of return; the Pax fund…
The variance of temperatures (Fahrenheit) in Mobile, Ala. is 165.16. What is this variance if temp is re-expressed in Celsius? [Hint: Conversion between Fahrenheit and Celsius is a linear transformation: Fahrenheit = Celsius*1.80 + 32, or Celsius = Fahrenheit*(1/1.80) - (32/1.80)]
20)
Multiple myeloma, or blood plasma cancer is characterized by increased blood vessel formulation (angiogenesis) in the bone marrow that is a predictive factor in survival. One treatment approach used for multiple myeloma is stem cell transplantation with the patient’s own stem cells. The data in the table below represent the bone marrow micro-vessel density for patients who had a complete response to the stem cell transplant and at the time the complete response was determined. Patient Before After 1 158 284 2 189 214 3 202 101 4 353 227 5 416 290 6 426 176 7 441 290 Please show work done by hand and/or using Excel formulas, graphing calculator unavailable. At the 0.05 level of significance, is there evidence that the mean bone marrow micro-vessel density is higher before the stem cell transplant than after the stem cell transplant?
The variance of temperatures (Fahrenheit) in Denver, Colo. is 328.87. What is this variance if temp is re-expressed in Celsius? [Hint: Conversion between Fahrenheit and Celsius is a linear transformation: Fahrenheit = Celsius*1.80 + 32, or Celsius = Fahrenheit*(1/1.80) - (32/1.80)]
The variance of temperatures (Fahrenheit) in Buffalo, N.Y. is 362.18. What is this variance if temp is re-expressed in Celsius? [Hint: Conversion between Fahrenheit and Celsius is a linear transformation: Fahrenheit = Celsius*1.80 + 32, or Celsius = Fahrenheit*(1/1.80) - (32/1.80)]
A negative value for a correlation indicates____ increase in X tend to be accomplished by the increase in Y how much weaker relationship then if the correlation were positive a much stronger relationship than if the correlation were positive increase in X tend to be accomplished by decrease in Y
What is indicated by a Pearson correlation of r = +1.00 between X and Y? Question 1 options: Each time X increases, there is a perfectly predictable increase in Y Every change in X causes a change in Y Every increase in X causes an increase in Y All of the other 3 choices occur with a correlation of +1.00.

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