A histogram of the numbers ofmurders per state in a certainwear is shown to the right for the50 states. Complete parts (a)hrough (e) below.Frequency40-20-Numbers of Murders per State250 500 750 1000 1250 1500 1750 2000Number of murdersCXXE. If there were two outliers, then estimate what they would be. For each of your estimates, find the largest possible error. A good estimate for an outlier in each class is the average of the lower clasmit and the upper class limit.The estimate of the smaller outlier is and the estimate of the larger outlier isRound to the nearest integer as needed.)

The given histogram represents the number of murders per state. The values on the x-axis represent…

Answered: A histogram of the numbers of murders…

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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Suppose a set of class marks has Q1 = 65 and Q2 = 75. What range of data would be considered outliers? O less than 50 and greater than 90 O less than 45 and greater than 95 Oless than 55 and greater than 85 less than 60 and greater than 80 31
The stem-and-leaf plots compare the ages of 30 actors and actresses at the time they won an award. Complete parts a through d below. Actors Stems Actresses 2 014667 98753220 3 00113344455778 88776543322100 4 11127 7751 5 210 6 011 7 7 4 8 4 a. What is the age of the youngest actor to win the award? b. What is the age difference between the oldest and the youngest actress to win an award? c. What is the oldest age shared by two actors to win an award? What differences do you observe between the two stem-and-leaf plots? What explanations can you offer for these differences? A. There is a higher frequency of actors in their sixties and seventies than actresses; this could be explained by actors being older when they win an award. B. There is a lower frequency of actors in their forties and fifties than actresses and a higher frequency of actors in their twenties and…
Use the accompanying data set to complete the following actions. a. Find the quartiles. b. Find the interquartile range. c. Identify any outliers. 63,61,56,64,56,55,61,58,61,63,64,64,54,65,82 a. Find the quartiles. The first quartile,Q1,is= The second quartile,Q2,is= The third quartile,Q3,is= (Type integers or decimals.) b. Find the interquartile range. The interquartile range (IQR) is= (Type an integer or a decimal.) c. Identify any outliers. Choose the correct answer below. A. There exists at least one outlier in the data set at= (Use a comma to separate answers as needed.) B. There are no outliers in the data set.
The table gives the frequency distribution for the final grades in a course. (Here A=4, B=3, C=2, D=1,F=0.) Determine the percentage of students who get a B or higher. Grade 0 1 2 3 4 Number of Occurrences 3 6 4 3 How could the answer be found? OA. Add the number of occurrences for each grade that is a B or higher. Then, divide by the number of grades. OB. Find the probability of each grade. Then, add them together to find the percent OC. Find the probability of each grade that is a B or higher. Then, find the average of those probabilities. OD. Find the probability of each grade. Then, add the probabilities for the grades that are a B or higher together to find the percent. The percentage of students who get a B or higher is
Which point would most likely be considered an outlier if it was added to the data in the table? (2,19),(5,11),(7,14) or (10,22)
A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 8 children from her practice, measures their height and head circumference and obtains the data shown below. Height Head Circumference 27 17.5 25 17 26.5 17.2 25.5 17 27.75 17.4 26 17.1 27.25 17.4 n 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361 e) Convert the data to centimeters (1 inch = 2.54 cm) and recompute the linear correlation coefficient. What i effect did the…
Below are the noontime temperatures (in degrees Fahrenheit) of 22 world cities measured on the same day. 67 38 72 79 46 65 84 57 80 76 70 63 63 70 36 97 61 72 Send data to calculator 35 Construct a box-and-whisker plot (sometimes called a boxplot) by adjusting the. Use the to plot outliers, if any. 40 45 50 74 68 67 59 55 60 110 65 140 70 75 P A 30 85 90 95 +4 100 Save For Later
This data represents tests scores on the statistics final 85 63 40 59 68 98 102 43 78 86 95 63 99 81 72 75 32 80 89 1. Make a grouped frequency table using class width 10. 2. Make an appropriate graph (histogram or bargraph) to represent your grouped frequency table 3. Make a box plot. And determine if there are outliers.
Use the accompanying data set to complete the following actions. a. Find the quartiles. b. Find the interquartile range. c. Identify any outliers. 57 60 57 64 62 64 58 64 64 59 54 56 55 59 82 0 a. Find the quartiles. The first quartile, Q,, is 57. The second quartile, Q,, is 59 . The third quartile, Q3, is 64. (Type integers or decimals.) b. Find the interquartile range. The interquartile range (IQR) is (Type an integer or a decimal.)
Consider the following set of data. List any outliers. 52 92 -9 53 63 56 96 100 54 87 If there is more than one answer, separate them with a comma.
The technology committee has stated that the average time spent by students per lab visit has increased, and the increase supports the need for increased lab fees. To substantiate this claim, the committee randomly samples 12 student lab visits and notes the amount of time spent using the computer. The times in minutes are shown in the table to the right. Complete parts a and b. Time 74 134 53 10 71 51 70 60 62 52 68 54 Are any of the observations outliers? Explain. O A. The histogram shows that there are no outliers. The conditions for inference are satisfied. O B. The histogram shows that there is one extreme outlier. Since the sample size is large enough, the conditions for inference are okay. Vc. The histogram shows two extreme outliers. With these values included, the conditions for inference are violated. b) The previous mean amount of time spent using the lab computer was 54 minutes. Find a 90% confidence interval for the true mean. What do you conclude about the claim? If there…

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