The population data are separately given for each student as in the tablebelow. To see the effect of sample size (from 1 to 30) on the samplingdistribution, please, first, randomly construct the sampling distributionfor each sample size. For this construction, it is recommended to use aprogram (such as Matlab). Then, for each sampling distribution,() calculate the mean and variance in order to compare with the mean andvariance of the population distribution. At the end, please, prepare areport about the effect of sample size (from 1 to 30) on the samplingdistribution by using figures. 0,36703622 0,083820107 0,407811207 0,623723315 0,122541081 0,6648119270,808628649 0,831596406 0,584586786 0,781170812 0,705272944 0,6819786690,912648857 0,183692384 0,879385531 0,898161894 0,704902306 0,3638470710,682949038 0,178318563 0,914322802 0,22139028 0,584959799 0,0258992180,759413757 0,290838373 0,344625872 0,146728159 0,434259845 0,8256357470,877437676 0,4121087 0,264382427 0,685754176 0,660046626 0,7563739980,384730741 0,024426668 0,933247597 0,459935254 0,860564122 0,8437504380,837812653 0,368538935 0,365608146 0,598692138 0,645100451 0,2861709150,100633319 0,020493073 0,144519054 0,323566736 0,032879142 0,71266140,431015912 0,39325928 0,089865637 0,80678593 0,901769572 0,8002179840,114374705 0,165539935 0,77269107 0,368828581 0,86794168 0,6112042360,240452875 0,796184467 0,532539127 0,197091594 0,841097566 0,2161677510,5847364 0,239675145 0,878289601 0,619612568 0,140479471 0,2274720050,763691489 0,847116022 0,538683451 0,873189121 0,922359841 0,2911037430,485815964 0,382886597 0,923060351 0,91387604 0,713451685 0,3406815640,329327118 0,767346548 0,772622881 0,341967221 0,325087601 0,3943537870,54421423 0,682233395 0,804229253 0,454378797 2,421196534 0,3718574330,875098508 1,021057012 0,619550335 0,338184159 0,683179917 1,5718845511,026729685 0,591665419 1,370706086 1,053699246 1,512267476 1,2402296480,71443175 0,939191563 1,271251823 0,659018473 0,428495901 1,3497189360,522038932 0,55918501 0,981591816 0,187062815 1,718375867 0,6896105441,191933503 0,580318667 0,330186751 0,884516804 0,483936346 0,2953921290,63092201 2,477658446 0,37584744 0,428355737 0,437121059 1,136972211,373810178 0,694163441 0,338601675 0,291954421 2,238518937 0,2831359960,323399296 0,425145545 0,665178714 1,067177232 0,504847145 1,164518870,895035507 0,488398083 0,2554066 0,866292414 0,77941821 1,0827185660,428597469 1,152256344 1,877240132 0,882372417 1,992086865 0,8547100992,117402459 0,266036504 0,91243438 0,579854938 1,015080526 0,3153059210,311014909 0,544814142 0,327767061 0,723510655 0,513791839 0,9095604670,4772203 0,40418277 0,604362619 0,883781655 1,637588509 0,6489916270,551750127 0,906466141 0,591294142 0,283921341 0,469263791 1,1596008490,1631744 0,824793124 1,494246925 1,250664381 0,98279834 1,2073827350,507344888 0,612764137 0,888498034 0,549750492 1,586965382 0,5044615320,618923392 1,379431639

The Physicians' Health Study, a randomized clinical trial, aimed to evaluate the impact of aspirin…

Answered: The population data are separately…

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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Explain the four different types of sampling and give an example of each.
Students in a chemistry class took a test. The following are the scores they earned. Fill in the stem-and-leaf plot below use the tens place as the stem and the ones place as the leaf. Describe the shape of the distribution. a) Data were collected for variable(s). Is it appropriate to make a stem-and-leaf plot for this type of data and number of variables? . b) Complete the stem-and-leaf plot below. You must put commas between the leaves. c) What shape is the stem-and-leaf plot above?
Make your own example of mean of a sampling distribution. Also, construct the sampling distribution.
The 5-number summary for a specific data set is given below. Use this information to determine if the data has any outliers. If it does, list one known outlier. If not, type the number 0. min = 2, Q1 = 3, median = 4, Q3 = 7, max = 12
Make your own example of mean and variance of a sampling distribution. Also, construct the sampling distribution.
Background: You just finished teaching your first PSYCH 248 lab section, and it’s time to calculate the grades. Your wonderful teaching assistant created an Excel file with all of the students’ exam grades, homework grade, and lab grade as well as their gender. Your next steps are to calculate each student’s final grade, convert those scores to letter grades, and describe the distribution of scores. Data Management Steps: 2. In Excel, calculate the final Number Grade, Letter Grade, and Z-score for each student. a. To calculate the Number Grade, type a numerical equation after an = sign in a cell or use the =AVERAGE() formula; however, keep in mind that the =AVERAGE() formula will always give you the regular mean, not the weighted mean. Grades for this course are comprised of three parts: lecture exams (60%), homework (20%), and lab (20%). b. To calculate the Letter Grade, use the =IF() formulawith a series of logic statements or enter the data by hand. For this assignment, let’s…
Cloud seeding, a process in which chemicals such as silver iodide and frozen carbon dioxide are introduced by aircraft into clouds to promote rainfall was widely used in many years. Recent research has questioned its effectiveness. An experiment as performed by randomly assigning 52 clouds to be seeded or not. The amount of rain generated was then measured in acre-feet. The box plot of the data for the seeded and unseeded clouds are shown in the figure. Which statement best interprets the box plot. Boxplot of Seeded, Unseeded 3000 f 2500어 2000 - 1500 - 1000 - 500- Seeded Unseeded a. Cloud seeding is somewhat effective in promoting rainfall because of the greater mean b. Outliers for both seeded and unseeded data may prove data on the effectiveness of cloud seeding is insufficient c. Extreme outliers are evident in the seeded data and has greater variance O d. There's a greater mean and greater dispersion in the seeded data. Both plots show outliers Data
A)Find the mean, median, mode, and range for the following data set 59,65,70,71,71,74,75,78,80,83,84,87,91,98,100 B)find the five number summary and draw a box plot. Briefly describe the shape and variation of the distribution. Explain your results.
Construct a box plot from the given data. Use the approximation method. Scores on a Statistics Test: 58, 61, 87, 45, 68, 80, 86, 92, 68, 79
Find the variance for the given data, 15,3,6,18,17
Use R to determine whether the mean population by census tract in 2016 is higher than the mean population by census tract in 2012. We also know that in each year, the number of residents by census tract in the State of Maryland follows a normal distribution, and the variance in the number of residents within the State of Maryland is the same for different years. POP2012: 3166, 2210, 3784, 2472, 3157, 4046, 4536, 4084, 7612, 3536, 3187, 2696, 4003, 3889, 2319, 2559, 3051, 4871, 4052, 6767, 6243, 6637, 4066, 3212, 3586, 4835, 2679, 2893, 8868, 4989, 5407, 4703, 4111, 3549, 4974, 3153, 3972, 1920, 2039, 1493, 5510, 4730, 6220, 3478, 5012, 5026, 4350, 3788, 2601, 3492, 1515, 4231, 4344, 4094, 4075, 3210, 4576, 3663, 4388, 4402, 2969, 3418, 3583, 3793, 2284, 3251, 4026, 2714, 5506, 3730, 3913, 3853, 5914, 6073, 3569, 3022, 4801, 5119, 2710, 6259, 3859, 2912, 3611, 3437, 2149, 2414, 3858, 3888, 5878, 1678, 6040, 3779, 2225, 3248, 2039, 2459, 4316, 3712, 4916, 3331, 5079, 2047, 3249, 3579,…

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