Year197919801981198219831984198519861987Pups Born(thousands)245.93203.82179.44203.58165.94173.27182.26167.66171.61Year198819891990199119921993199419951996Pups Born(thousands)202.23171.53201.30182.44192.10170.12Make a stemplot to display the distribution of pups bornper year. Describe the shape, center, and variability ofthe distribution. Are there any outliers?Year199719981999200020012002200320042005Pups Born(thousands)179.15158.74145.72122.82Year200620072008200920102011201220132014Pups Born(thousands)109.96102.6794.5096.8391.74(a) In the context of this study, what do the negativevalues in the data set mean?(b) Back-to-back stemplots can be used 1.39 Fur seals on St. Paul Island. Make a time plot of thenumber of fur seals born per year from Exercise 1.37. Whatdoes the time plot show that your stemplot in Exercise 1.37did not show? When you have data collected over time, atime plot is often needed to understand what is happening.FURSEALS

Year Pups Born 1979 245.93 1980 203.82 1981 179.44 1982 203.58 1983 165.94 1984 173.27…

Answered: Year 1979 1980 1981 1982 1983 Pups Born…

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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Which of the following dot plots represent the data below? Hours Slept 6 8 7 5 6 5 7 7 10 1. 6 8 . 10 6 8 10
10 1.0 1,0 10 10 -10
86-33.88
question.Age (Years) Less than high school High school graduate Some college College Degreegraduate15 to 17 12,723 210 132 2918 to 34 9,655 19,231 25,444 17,49735 to 49 6,412 16,642 16,756 21,12550+ 13,693 34,110 26,461 29,899Figure 1 - 2013 U.S. population, in thousands, by age and educational attainment.Source: Census, U.S. Bureau of the CensusFind the probability that in the year 2013, a U.S. resident was a High school graduate. Writethe probability as a percent rounded to the nearest tenth.2
х1 x2 x3 13.92 3.5 94 13.85 2.12 98 13.59 2.2 48 13.32 3.09 90 14.89 4.31 110 12.9 3.21 104 14.2 3.34 114 13.78 3.01 87 13.38 2.49 102 14.38 2.69 105 14.35 2.26 101 14.78 3.34 60 13.95 2.3 144 14.34 2.95 73 14.64 2.93 89 13.92 2.96 124 13.23 3.42 107 14.58 3.14 87 13.42 3.15 85 13.51 3.86 146 14 15 2 15 162
1 What were the average number of haircuts for each of the following time periods? 1. Q1 2022 2. Q2 2022 3. Q3 2022 4. Q4 2022 5. Q1 2023 6. Q2 2023 7. Q3 2023 Then, explain your observations of the values that you calculated.
15.768- 3.503
Point A(7, 17); Point B(19, 2) 20 19 18 17 16 15 14 13 12 11 10 9 8 7. 5 4. 3 2 01 2 345 6 7 89 10 11 12 13 14 15 16 17 18 19 20 10
45.7-3.32=
The accompanying data are 45 commute times to work in minutes for workers of age 16 or older in Chicago. Construct a frequency distribution. Use a class width of 15 minutes and begin with a lower class limit of 0 minutes. Do the data amounts appear to have a normal distribution? Examine the data and identify anything appearing to be unique. Click the icon to view the commute times. ..... Construct the frequency distribution. Commute Time Frequency (minutes) 0- (Type whole numbers.) Do the data amounts appear to have a normal distribution? O A. No, because the frequencies start at a maximum and become low, and because the distribution is not symmetric. B. No, because while the frequencies start low, proceed to one or two high frequencies, then decrease to a low frequency, the distribution is not symmetric. C. Yes, because the frequencies start low, proceed to one or two high frequencies, then decrease to a low frequency, and the distribution is approximately symmetric. D. No, because…
X₁ A. X₂ X 3 1.4375 1.875 2.875 -1 111 4.562 4.125 3.312 5.039 3.863 2.675 865.0 1.244
Number of ChildrenTable 1 shows the number of women (per 1000) between 15 and 50 years of age who have been married grouped by the number of children they have had. Table 2 gives the same information for women who have never been married.1 Number of Children Women per 1000 0 162 1 213 2 344 3 182 4 69 5+ 32 Table 1 Women who have been married Number of Children Women per 1000 0 752 1 117 2 72 3 35 4 15 5+ 10 Table 2 Women who have never been married 1http://www.census.gov/hhes/fertility/data/cps/2014.html, Table 1, June 2014. Condition gt requires numbers instead of "null" and "0" (a) Without doing any calculations, which of the two samples appears to have the highest mean number of children? Women who have been marriedWomen who have never been married Which of the distributions appears to have the mean most different from the median? Women who have been marriedWomen who have never been married…

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Year 1979 1980 1981 1982 1983 Pups Born (thousands) 245.93 203.82 179.44 203.58 165.94 Year 1988 1989 1990 1991 1992 Pups Born (thousands) 202.23 171.53 201.30 - 182.44 Year 1997 1998 1999 2000 2001 Pups (thou 17 15