MATCH the LETTER of the WORD to the CORRECT PHRASE: A. Heterozygous    D. Homozygous      G. Genotypic ratio B. Diploid                E. Haploid               H. Phenotypic ratio  C. Phenotype          F. Genotype The observable traits of an organism  [match1] An organism that has two different alleles for the same gene  [match2] Cells that contain only one complete set of unpaired chromosomes  [match3] Dominant: Recessive  [match4] Homozygous dominant: heterozygous: homozygous recessive  [match5]

MATCH: Use THE LETTER ONLY of the description that best describes the listed disease/disorder. A.  Abnormal number of sex chromosomes B.  Caused by point mutation C.  Abnormal number of autosomes Turner Syndrome  [match1] Down Syndrome  [match2] Sickle Cell Anemia  [match3] Klinefelter Syndrome  [match4]

The breakdown of a cell membrane would produce:

If the sequence of one strand of DNA is TAGACAT, then the sequence of its complementary strand in the double helix is:

This Mesopotamian king is known for his complex system of law:

The use of images in Medieval Art was debated because of concerns of___. 

A public meeting place or city-center in ancient Rome.

Which of the following interventions has been shown to be most effective in reducing pain during IUD insertion for nulliparous individuals?

What best describes the results of the expression df.sum(axis=1)?

Minnesota is the “Land of 10,000 Lakes”. But did you know there are more than 10,000 lakes in the state? The file mn_lakes.csv (right-click, open in new tab or window) contains a list of Minnesota lakes and some basic data about them. Write a function named longest_shoreline that accepts three arguments: a filename, a county name, and a number k. Return the k lakes in the county with the longest shorelines in order from longest to shortest. For full credit: Use NumPy operations to do the analysis, and use no loops or list comprehensions. Submit either a .py or a .ipynb file. Examples Nearby Lake Minnetonka obviously has the longest shoreline in our own Hennepin county, followed by Long Meadow Lake, Rice Lake, etc: In [1]: longest_shoreline(‘mn_lakes.csv’, ‘Hennepin’, 5) Out[1]: array([‘Minnetonka’, ‘Long Meadow’, ‘Rice’, ‘Anderson’, ‘Medicine’]) Minnesota’s Lake of the Woods is so massive that it exists in its own county! Unsurprisingly, Lake of the Woods has the single longest shoreline in Lake of the Woods county: In [2]: longest_shoreline(‘mn_lakes.csv’, ‘Lake of the Woods’, 1) Out[2]: array([‘Lake of the Woods (MN)’]) Otter Tail County has the most lakes in the state. Dead Lake, Star Lake, and Lida Lake lead the way in terms of longest shorelines in Otter Tail County: In [3]: longest_shoreline(‘mn_lakes.csv’, ‘Otter Tail’, 10) Out[3]: array([‘Dead’, ‘Star’, ‘Lida’, ‘Otter Tail’, ‘North Turtle’, ‘Spitzer’, ‘Big McDonald’, ‘Lizzie’, ‘West Battle’, ‘Pelican’]) The fictional town of Lake Wobegon is the county seat of the fictional Mist County, MN. Of course, there are no lakes in a fictional county, so we get an empty array: In [4]: longest_shoreline(‘mn_lakes.csv’, ‘Mist’, 10) Out[4]: array([]) Finally, for this problem at least, searches should be case sensitive: In [5]: longest_shoreline(‘mn_lakes.csv’, ‘hennepin’, 10) Out[5]: array([])