#7) The Fish and Game Department in Wisconsin stocked a new lake with the followingdistribution of game fish.Pike10%FishTroutBassBluegill30%|PerchPercent15%| 20%| 25%After six years a random sample of 197 fish from the lake were netted, identified andreleased. The sample distribution is shown in the following table.PikeFishPercent 35Trout17Perch| BassBluegill573355Is the sample distribution of fish in the lake after six years a good fit to the initial stockingdistribution? Use a 5% level of significance.

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Answered: #7) The Fish and Game Department in…

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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Construct a frequency distribution table for the following data: The number of persons living in each household in a certain compound in Karuhatan: 5, 9, 7, 3, 7, 5, 6, 3, 4, 6 8, 7, 5, 3, 9, 4, 8, 5, 9, 3 3, 7, 3, 6, 3
Samples of forty-two (42) college students are considered for study and were categorized according to year level. The data set is Freshman Freshman Sophomore Freshman Junior Sophomore Sophomore Freshman Sophomore Freshman Sophomore Senior Senior Senior Senior Sophomore Sophomore Junior Freshman Freshman Freshman Sophomore Junior Junior Freshman Freshman Sophomore Senior Senior Junior Sophomore Freshman Freshman Freshman Construct a frequency distribution for the data. Solution: Class Total Tally -ww Frequency Freshman Junior Junior Sophomore Junior Junior Freshman Relative Frequency Sophomore Percentage
D iew an example Get more help. V Use technology to find the P-value for the hypothesis test described below. The claim is that for a smartphone carrier's data speeds at airports, the mean is μ = 17.00 Mbps. The sample size is n = 16 and the test statistic is t= -2.084. P-value= (Round to three decimal places as needed.) X # 3 E 80 I D C $ 4 ƠN F4 R F V 07 20 % 5 J T G 6 B MacBook Air F6 Y H & 7 F7 U N * 00 8 J DII F8 - M ( 9 K F9 O ) < I H O L 72 Clear all P. V ▾ F11 { سال = [ command option
出功校的帥助 Given the following scores of 60 students in Mathematics prelim examination 17 31 26 34 32 44 33 39 45 21 24 38 42 39 32 43 18 32 49 33 33 33 22 29 33 43 39 57 33 33 48 29 29 37 29 19 23 32 Do the following: 1. Frequency Distribution Table 2. Line graph 3. Bar graph 4. Pie graph
A survey of a subset of a population is called a? survey of element. target survey. sampled population. sample survey.
A television station wishes to study the relationship between viewership of its 11 p.m. news program and viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television viewers in each age group is randomly selected, and the number who watch the station’s 11 p.m. news is found for each sample. The results are given in the table below. Age Group Watch11 p.m. News? 18 or less 19 to 35 36 to 54 55 or Older Total Yes 37 46 59 83 225 No 213 204 191 167 775 Total 250 250 250 250 1,000 (a) Let p1, p2, p3, and p4 be the proportions of all viewers in each age group who watch the station’s 11 p.m. news. If these proportions are equal, then whether a viewer watches the station’s 11 p.m. news is independent of the viewer’s age group. Therefore, we can test the null hypothesis H0 that p1, p2, p3, and p4 are equal by carrying out a chi-square test for independence. Perform this test by setting α = .05. (Round your answer to 3 decimal places.)…
A television station wishes to study the relationship between viewership of its 11 p.m. news program and viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television viewers in each age group is randomly selected, and the number who watch the station’s 11 p.m. news is found for each sample. The results are given in the table below. Age Group Watch11 p.m. News? 18 or less 19 to 35 36 to 54 55 or Older Total Yes 49 59 61 84 253 No 201 191 189 166 747 Total 250 250 250 250 1,000 (a) Let p1, p2, p3, and p4 be the proportions of all viewers in each age group who watch the station’s 11 p.m. news. If these proportions are equal, then whether a viewer watches the station’s 11 p.m. news is independent of the viewer’s age group. Therefore, we can test the null hypothesis H0 that p1, p2, p3, and p4 are equal by carrying out a chi-square test for independence. Perform this test by setting α = .05. (Round your answer to 3 decimal places.)…
A random sample of 10 compact cars, 10 mid-size cars, and 10 luxury cars were selected. The time (in seconds) each of the randomly selected cars required to accelerate from 0 to 60 mph was looked up on the Autos.com website. The results are presented below. Car Type Time (in seconds) Required to Accelerate from 0 to 60 mph Compact 9.3 8.1 10.2 8.8 9.0 9.3 7.7 9.2 9.4 8.6 Mid-Size 6.9 5.7 8.3 7.7 8.6 5.9 6.1 8.8 6.1 7.2 Luxury 5.7 6.3 5.4 4.7 6.2 7.0 5.9 5.3 6.3 5.0 Conduct a hypothesis test using ! = 0.05 to determine whether the mean time required to accelerate from 0 to 60 mph is the same for compact, mid-size, and luxury cars. (No accounting or excel, I need help solving it.)
The following data represents the age of 30 lottery winners. Given the frequency distribution for the data, Cumulative Relative Age Frequency Relative Frequency Frequency [20,29] [30,39] [40,49] [50,59] [60,69] [70,79] [80,89] 1 0.0333 0.0333 7 0.2333 0.2666 0.1667 0.4333 0.0667 0.5 7 0.2333 0.7333 7 0.2333 0.9666 1 0.0333 0.9999 What is the frequency of lottery winners of age between 19 and 40? What percentage of lottery winners 70 years or older? What is the relative frequency of ages under 40? What is the cumulative relative frequency of lottery winners younger than 50?
Last school year, the student body of a local university consisted of 35% freshmen, 24% sophomores, 26% juniors, and 15% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification. Freshmen 90 Sophomores 60 Juniors 90 Seniors 60 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. The calculated value for the test statistic equals a. 0.5444 b. 2.789 c. 10.989 d. 15.231
Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 400 students taken from this year's student body showed the following number of students in each classification. Freshmen 113 Sophomores 98 Juniors 115 Seniors 74 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. The calculated value for the test statistic equals Select one: a. .54. b. .65. c. 2.063. d. 2.664.
C. Test value D. Make a decision

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