A misleading graph is a statistical graph that is not drawn appropriately. This type of graph can misrepresent data and lead to falseconclusions.(a) Explain why the graph is misleading.(b) Redraw the graph so that it is not misleading.(a) Why is the graph misleading?A. The angle makes it appear the 3rd quarter had a larger percent of the sales when in fact it is the same as the 1st quarter sales.B. The data should not be displayed in a pie chart.C. The area of the pie chart is more than 100%.(b) Which of the following graphs corrects the error?O A.Percent (%)Sales for CompanyB1st 2nd 3rd 4thQuarterB.Sales for Company B20%38%38%Quarter 14%Quarter 2Quarter 3Quarter 44%C.Sales for Company B38%20%4th quarter20%Sales for Company B1st quarter38%3rd quarter38%20%2nd quarter4%29

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Answered: A misleading graph is a statistical…

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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The comparison line graph indicates the rainfall for the last six months of two different years in Nowhereville. 5- During what months was the rainfall of 2018 less than the rainfall of 2017? 2017 2018 July Aug Sept Oct Nov Dec Month ..... Select all of the months where the rainfall of 2018 was less than the rainfall of 2017. A. August B. July C. October D. November E. December F. September Rainfall (in inches)
B) Identify any possible outliers. C) Determine if the point is influential. To change in slope or intercept is significant if it is larger than 10%."The point (is/is not) an influential point because the slopes with the point included and without the point included (are/are not) significantly different, and the intercepts (are/are not) significantly different."
Number 5
##6d Consider the following data: A women’s clothing department wants to find out if there is a relationship (and what kind of relationship) between the price of an item and the time that it takes to a customer to decide in buying that item. Item Price (x) Decision Time (in minutes) (Y) $30 12 $20 8 $300 37 $80 20 $78 15 $25 10 $17 9 $63 14 $150 20 $250 30 $10 4 $8 5 $180 27 $260 28 Give (or calculate) the regression equation coefficients; Give the equation of regression. Based on the above values, in detail draw the conclusion: Discuss the correlation coefficient r Discuss the coefficient of determination r2 Discuss in detail the meaning of the regression equation
The data in the table below represents the percentage of a country's population aged 25 years or older whose age is x who do not have a high school diploma. Complete parts (a) through (c) below. 50 Age, a Pecentage without a H. S. Diploma, P 30 40 60 70 80 13.4 11.8 10.2 13.6 23.1 29.4 (a) Using a graphing utility, draw a scatter diagram of the data treating age as the independent variable. What type of relation appears to exist between age and percentage of the population without a high school diploma?
A statement is made about correlation. State whether the correlation is positive or negative and whether the correlation is most likely due to coincidence, a common underlying cause, or a direct cause. If there is an underlying cause, state what the underlying cause is. If one directly causes the other, state which is the cause and which is the effect.(a) In Angela's class, the taller students got lower scores on the test.(b) As Thomas's income rose over the last 20 years so has his stress level.
PLEASE USE THE TABLE PROVIDED TO ANSWER THE QUESTION: A movie theater will be replaying old movies for a film festival and considering those with the highest public opinion back when the movie came out. Did movies with high public opinion explain a high revenue according to the dataset? Give a formal statistical conclusion to explain your answer. Construct any plot(s)/graph(s) to support your answer.
Provide an appropriate graph for the given data
Mutant genes: In a study to determine whether the frequency of a certain mutant gene increases with age, the number of mutant genes per microgram of DNA was counted for each of 9 men. The results are presented in the following table. Age Number of Mutants 44 100 46 52 58 105 54 68 52 58 53 49 65 264 70 195 82 449 Construct a scatterplot of number of mutants y versus age x . Plot only the points that are not outliers. Age (years) Number of mutant genes y 100 200 300 400 x 10 20 30 40 50 60 70 80 0
3
The least-squares regression equation is y=761.7x+13,208 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7483. Predict the median income of a region in which 20% of adults 25 years and older have at least a bachelor's degree.
Probability and statistics class

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