for each research question):
1. An introductory sentence about which test(s) will be used and what indicated that it was the correct test.
2. A stated null and alternative hypothesis.
3. The output from JASP.
4. A conclusion in paragraph form that includes the decision you made, APA formatted reporting of your statistics, and a final statement about your findings as it relates to the research question. (2-3 sentences is fine)
Research Questions
1. Is there a relationship between a country’s number of doctors per person and life expectancy?
2. Is there a relationship between a country’s number of TVs per person and life expectancy?
**IMPORTANT**
At least 35% of the points from every assignment come from reporting statistics in the proper APA format as identified in the APA 7th edition as well as the Dissertation Handbook.
QUIZ 1
This quiz will model much of what your task may be like when working on your own dissertation. You have been provided the data set in order to answer the research question below. The data set (doctors-and-life-expectancy.txt) is a plain text file. Generally, JASP opens these files nicely, but you will always want to check your rows and columns to see that nothing seems out of place. You will do a complete/full analysis with this file and provide your conclusion in APA format. Again, you should not include output in your dissertation, but for this assignment, it IS required.
A quiz that earns full credit will include (for each research question):
1. An introductory sentence about which test(s) will be used and what indicated that it was the correct test.
2. A stated null and alternative hypothesis.
3. The output from JASP.
4. A conclusion in paragraph form that includes the decision you made, APA formatted reporting of your statistics, and a final statement about your findings as it relates to the research question. (2-3 sentences is fine)
For this quiz, you do not need to use this Word file, but you will need to create your own. You should see this as an assessment of your professional writing of statistical analysis for which handwriting or other types of files may not be appropriate. A pdf file can also be used provided that all of the required elements are present.
Research Questions
1. Is there a relationship between a country’s number of doctors per person and life expectancy?
2. Is there a relationship between a country’s number of TVs per person and life expectancy?
country | life.exp | TV.person | Doctors.person | sqrtTV.person | sqrtDoctors.person | log10Doctors.person | log10TV.person | ||||||||||||||
Argentina | 7 | 0.5 | 0.2 | 0.002 | 70 | 0.05198 | 75 | -2.5682021583 | 61 | 69 | -0.60205999132 | 79 | |||||||||
Bangladesh | 53 | 0.003175 | 0.0001622 | 0.05634362 | 0.012 | 73 | -3. | 78 | -2.4982562703 | 72 | |||||||||||
Brazil | 65 | 0.001462 | 0.03823596 | -2.83505262737816 | |||||||||||||||||
Canada | 76 | 0.588235 | 0.0022272 | 0.7669 | 64 | 0.04 | 71 | -2.65224078206953 | -0.230449138525569 | ||||||||||||
China | 0.125 | 0.0015552 | 0.35355339 | 0.03943615 | -2.8082137524178 | -0.903089986991944 | |||||||||||||||
Colombia | 0.178571 | 0.0006447 | 0.42257713 | 0.02539184 | -3.19064232978889 | -0.748189069314208 | |||||||||||||||
Egypt | 60.5 | 0.066667 | 0.0016234 | 0.25819889 | 0.04029115 | -2.78957445836891 | -1.1760890875887 | ||||||||||||||
Ethiopia | 51.5 | 0.001988 | 2.73e-05 | 0.0445878 | 0.0052228 | -4.56383735295924 | -2.70158361993871 | ||||||||||||||
France | 0.384615 | 0.0024814 | 0.62017367 | 0.04981355 | -2.60530322210812 | -0.414973782265517 | |||||||||||||||
Germany | 0.0028902 | 0.05376033 | -2.53907210330192 | ||||||||||||||||||
India | 57.5 | 0.022727 | 0.0004047 | 0.15075567 | 0.02011702 | -3.39286679560843 | -1.64345788805124 | ||||||||||||||
Indonesia | 0.041667 | 0.0001346 | 0.20412415 | 0.01160361 | -3.8709 | 54 | -1.38020776736965 | ||||||||||||||
Iran | 64.5 | 0.043478 | 0.0003342 | 0.20851441 | 0.01828181 | -3.47599355444263 | -1.3617304417923 | ||||||||||||||
Italy | 78.5 | 0.263158 | 0.0042918 | 0.51298918 | 0.06551218 | -2.36736052457193 | -0.579783422899052 | ||||||||||||||
Japan | 0.555556 | 0.001642 | 0.74535599 | 0.04052204 | -2.78462684721658 | -0.255272157667859 | |||||||||||||||
Kenya | 0.010417 | 0.0001313 | 0.10206207 | 0.01145948 | -3.88173527391052 | -1.9822573358385 | |||||||||||||||
Korea-North | 0.011111 | 0.0027027 | 0.10540926 | -2.56820215836169 | -1.95424685240586 | ||||||||||||||||
Korea-South | 0.204082 | 0.0009381 | 0.45175395 | 0.03062819 | -3.0277508640374 | -0.69019529829915 | |||||||||||||||
Mexico | 0.151515 | 0.0016667 | 0.38924947 | 0.04082483 | -2.77814256458086 | -0.819544369836568 | |||||||||||||||
Morocco | 0.047619 | 0.0002052 | 0.21821789 | 0.01432524 | -3.68782264356022 | -1.32221972902862 | |||||||||||||||
Myanmar(Burma) | 54.5 | 0.001689 | 0.0002869 | 0.04109975 | 0.01693942 | -3.542269451754 | -2.77237035042899 | ||||||||||||||
Pakistan | 56.5 | 0.013699 | 0.000423 | 0.11704115 | 0.02056725 | -3.37365963262496 | -1.86331113432774 | ||||||||||||||
Peru | 0.071429 | 0.0009843 | 0.26726124 | 0.03137279 | -3.00687251489429 | -1.14612542991916 | |||||||||||||||
Philippines | 0.113636 | 0.0009416 | 0.33709993 | 0.03068582 | -3.02613355016462 | -0.944484061894734 | |||||||||||||||
Poland | 0.25641 | 0.0020833 | 0.50636968 | 0.04564355 | -2.68124818614289 | -0.591065041321198 | |||||||||||||||
Romania | 0.166667 | 0.0017889 | 0.40824829 | 0.04229549 | -2.7474139359346 | -0.778150381795548 | |||||||||||||||
Russia | 0.3125 | 0.003861 | 0.55901699 | 0.06213698 | -2.41330019837595 | -0.505149978319906 | |||||||||||||||
South_Africa | 0.090909 | 0.0007463 | 0.30151134 | 0.02731792 | -3.1270865583796 | -1.04139311945292 | |||||||||||||||
Spain | 0.0036364 | 0.06030227 | -2.43932835090716 | ||||||||||||||||||
Sudan | 7.97e-05 | 0.00892644 | -4.09854167860389 | ||||||||||||||||||
Taiwan | 0.0010363 | 0.03219114 | -2.98451450184555 | ||||||||||||||||||
Tanzania | 52.5 | NA | 3.96e-05 | 0.00629579 | -4.40230481407449 | ||||||||||||||||
Thailand | 68.5 | 0.0002048 | 0.01431056 | -3.68867004769621 | |||||||||||||||||
Turkey | 0.000841 | 0.4472136 | 0.02900074 | -3.07520400420209 | -0.698970004336019 | ||||||||||||||||
Ukraine | 70.5 | 0.333333 | 0.0044248 | 0.57735027 | 0.06651901 | -2.35410635453889 | -0.477121689014362 | ||||||||||||||
United_Kingdom | 0.0016367 | 0.04045567 | -2.7860309175853 | ||||||||||||||||||
United_States | 75.5 | 0.769231 | 0.0024752 | 0.87705802 | 0.04975186 | -2.60638970364471 | -0.113943222018512 | ||||||||||||||
Venezuela | 74.5 | 0.0017361 | 0.04166667 | -2.76042526291679 | |||||||||||||||||
Vietnam | 0.034483 | 0.000323 | 0.18569534 | 0.01797213 | -3.4907974776689 | -1.46239495784822 | |||||||||||||||
Zaire | 4.31e-05 | 0.00656631 | -4.36552272983927 |