In аn investigаtiоn оf interspecies cоmpetition, reseаrchers grew the unicellular protozoan Paramecium aurelia in a 5 mL culture and Paramecium caudatum in a separate 5 mL culture. P. aurelia and P. caudatum were grown together in a third 5 mL culture. Each day a small sample of each culture was removed so the total number of individuals could be estimated, and the remainder of the population was transferred to fresh growth medium. The experimental results are represented in the graphs below. The horizontal axis is labeled “Time, in days,” and the numbers 1 through 25 are indicated. The vertical axis is labeled “Number of Individuals per 5 milliliters,” and the numbers O through 700, in increments of 100, are indicated. The data represented by the points on the graph are as follows. Point 1, 1 day, O individuals perO milliliters. Point 2, 2 days, 10 individuals per 5 milliliters. Point 3, 3 days, 20 individuals per 5 milliliters. Point 4, 4 days, 60 individuals per 5 milliliters. Point 5, 5 days, 90 individuals per 5 milliliters. Point 6, 6 days, 190 individuals per 5 milliliters. Point 7, 7 days, 260 individuals per 5 milliliters. Point 8, 8 days, 320 individuals per 5 milliliters. Point 9, 9 days, 410 individuals per 5 milliliters. Point 10, 10 days, 500 individuals per 5 milliliters. Point 11, 11 days, 570 individuals per 5 milliliters. Point 12, 12 days, 610 individuals per 5 milliliters. Point 13, 13 days, 510 individuals per 5 milliliters. Point 14, 14 days, 580 individuals per 5 milliliters. Point 15, 15 days, 550 individuals per 5 milliliters. Point 16, 16 days, 550 individuals per 5 milliliters. Point 17, 17 days, 510 individuals per 5 milliliters. Point 18, 18 days, 570 individuals per 5 milliliters. Point 19, 19 days, 510 individuals per 5 milliliters. The horizontal axis is labeled “Time, in days,” and the numbers 1 through 25 are indicated. The vertical axis is labeled “Number of Individuals per 5 milliliters,” and the numbers O through 250, in increments of 50, are indicated. The data represented by the points on the graph are as follows. Point 1, 1 day, 0 individuals per 5 milliliters. Point 2, 2 days, 10 individuals per 5 milliliters. Point 3, 3 days, 10 individuals per 5 milliliters. Point 4, 4 days, 10 individuals per 5 milliliters. Point 5, 5 days, 20 individuals per 5 milliliters. Point 6, 6 days, 60 individuals per 5 milliliters. Point 7, 7 days, 110 individuals per 5 milliliters. Point 8, 8 days, 140 individuals per 5 milliliters. Point 9, 9 days, 165 individuals per 5 milliliters. Point 10, 10 days, 190 individuals per 5 milliliters. Point 11, 11 days, 220 individuals per 5 milliliters. Point 12, 12 days, 200 individuals per 5 milliliters. Point 13, 13 days, 200 individuals per 5 milliliters. Point 14, 14 days, 180 individuals per 5 milliliters. Point 15, 15 days, 190 individuals per 5 milliliters. Point 16, 16 days, 180 individuals per 5 milliliters. Point 17, 17 days, 190 individuals per 5 milliliters. Point 18, 18 days, 205 individuals per 5 milliliters. Point 19, 19 days, 208 individuals per 5 milliliters. The horizontal axis is labeled “Time, in days,” and the numbers 1 through 25 are indicated, The vertical axis is labeled “Number of Individuals per 5 milliliters,” and the numbers O through 450, in increments of 50, are indicated. A key indicates that one line represents P aurelia, and the other line represents P caudatum. Both lines begin at 1 day, and 0 individuals per 5 milliliters. The line representing P caudatum spikes momentarily above the line representing P aurelia after 2 days, but then falls back down toward the horizontal axis and remains below the line representing P Aurelia until both graphs end. The data represented by the points on each line are as follows. Point 1, 1 day. P aurelia, 0. P caudatum, 0. Point 2, 2 days. P aurelia, 10. P caudatum, 145. Point 3, 3 days. P aurelia, 25. P caudatum, 10. Point 4, 4 days. P aurelia, 55. P caudatum, 30. Point 5, 5 days. P aurelia, 95. P caudatum, 50. Point 6, 6 days. P aurelia, 200. p caudatum, 90. Point 7, 7 days. P aurelia, iss. p caudatum, 110. Point 8, 8 days. P aurelia, 220. p caudatum, 125. Point 9, 9 days. P aurelia, 295. p caudatum, 100. Point 10, 10 days. P aurelia, 240. P caudatum, 90. Point 11, 11 days. P aurelia, 300. P caudatum, 70. Point 12, 12 days. P aurelia, 300. P caudatum, 90. Point 13, 13 days. P aurelia, 340. P caudatum, 60. Point 14, 14 days. P aurelia, 390. P caudatum, 70. Point 15, 15 days. P aurelia, 340. P caudatum, 55. Point 16, 16 days. P aurelia, 360. P caudatum, 56. Point 17, 17 days. P aurelia, 335. P caudatum, 48. Point 18, 18 days. P aurelia, 360. P caudatum, 50. Point 19, 19 days. P aurelia, 305. P caudatum, 50. Point 20, 20 days. P aurelia, 350. P caudatum, 50. Point 21, 21 days. P aurelia, 325. P caudatum, 48. Point 22, 22 days. P aurelia, 350. P caudatum, 20. Point 23, 23 days. P aurelia, 350. P caudatum, 20. Point 24, 24 days. P aurelia, 325. P caudatum, 40. Point 25, 25 days. P aurelia, 350. P caudatum, 25. Based on the experimental results, which of the following statements best describes the relationship of the two populations that were studied in the investigation?
Minnesоtа is fаmоus fоr its lаkes, but the fishing pressure on those lakes is not spread evenly. Some counties sell far more fishing licenses than the size of their lakes can absorb; others have huge lake systems with comparatively few licenses sold. In this problem, you will quantify that difference for the 2024 season and summarize it by tourism region. The Vocareum notebook walks you through ten steps. Each step is a single pandas expression that moves toward the final answer: a Series giving the mean fishing pressure (licenses sold per lake acre) for each tourism region. Work through the steps in order, and attempt every step even if you are unsure. A partial answer earns more credit than a blank cell. Input files The lakes file (mn_lakes.csv) has one row per Minnesota lake, with an unnamed leading index column: ,name,acres,shore_miles,county 0,Bugo,30.37787807,1.01619442,Lake 1,Pea Soup,12.10123649,0.62396599,Lake 2,Sundown,19.02174696,0.72119824,Lake 3,Unnamed,18.74684436,0.63361897,Aitkin 4,Studhorse,19.65827362,0.72216315,Aitkin ... The licenses file (mn_fishing_licenses.csv) has one row per county per year (2019 through 2024). The license counts are written with thousands separators: county,year,licenses Hennepin,2019,"120,780" Hennepin,2020,"138,250" Hennepin,2021,"139,868" Hennepin,2022,"131,703" Hennepin,2023,"137,553" Hennepin,2024,"130,528" Ramsey,2019,"52,976" ... What the ten steps cover Read the lakes file into a DataFrame named lakes. Total the lake acreage in each county and store it in lake_acres. Read the fishing licenses file into a DataFrame named licenses. Filter licenses down to the 2024 rows. Combine licenses and lake_acres into a new DataFrame named counties. Add a licenses_per_acre column to counties. Tag each county with its tourism region, using the region_map dictionary provided in the notebook. Drop counties that fall outside the region map. Sort counties from heaviest fishing pressure to lightest and store the result in ranked. Compute the mean licenses_per_acre for each tourism region and store the result in region_pressure. Notes Use pandas operations (no loops or list comprehensions). Each step is graded independently, so a mistake on one step will not cause later steps to be marked wrong. The exact dtype shown in your output may differ from any example; that is not an error. Complete your code in the Vocareum notebook linked from this exam page. Submit there for grading; this Canvas page is only a prompt.
Spiders аnd scоrpiоns belоng to the sаme tаxonomic class (Arachnida). They must also belong to the same ____________.
Which оf the fоllоwing stаtements is (аre) true? Some protists reproduce аsexually by budding. Some protists produce haploid gametes via meiosis. Some protists reproduce asexually by mitosis. Some protists reproduce by producing spores.