Crimes by State XXXXXXXXXXBureau of Justice StatisticsFilename: p17t04.csvTable 4. Sentenced prisoners under the jurisdiction of state or federal correctional authorities, by sex, 2016 and...

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Crimes by State 2016-2017 Bureau of Justice Statistics Filename: p17t04.csv Table 4. Sentenced prisoners under the jurisdiction of state or federal correctional authorities, by sex, 2016 and 2017 Report title: Prisoners in 2017 NCJ 252156 Data source: Bureau of Justice Statistics, National Prisoner Statistics, 2016 and 2017. Authors: Jennifer Bronson, Ph.D., and E. Ann Carson, Ph.D., BJS Statisticians Refer questions to: [email protected] or 202-307-0765 Date of version: 4/25/2019 Table 4. Sentenced prisoners under the jurisdiction of state or federal correctional authorities, by sex, 2016 and 2017 20162017Percent change, 2016–2017 JurisdictionTotalMaleFemaleTotalMaleFemaleTotalMaleFemaleHypothesis Test Alabama27,79925,5932,20623,72421,9681,756-14.7-14.2-20.4%Sample Mean Alaska/c2,0891,9821071,9051,82877-8.8-7.8-28%Tail Type Arizona40,84937,1313,71840,26336,5433,720-1.4-1.60.1%Null Hypothesis Arkansas17,47616,1111,36518,02816,6171,4113.23.13.4Alt Hypothesis California/d129,080123,2615,819129,920124,1275,7930.70.7-0.4Standard Score Colorado19,86217,9631,89919,82417,9251,899-0.2-0.20P-Value Connecticut/c10,3659,8045619,6269,142484-7.1-6.8-13.7Conclusion? Delaware/c4,0903,8892014,0663,882184-0.6-0.2-8.5 Florida99,97493,1116,86398,50491,7796,725-1.5-1.4-2Confidence Interval Georgia53,06449,3243,74053,09449,3153,7790.101z(α/2) Hawaii/c3,6293,2713583,4253,154271-5.6-3.6-24.3EBM Idaho7,3766,4169607,7526,7619915.15.43.2Lower Limit Illinois43,65741,0442,61341,42739,1482,279-5.1-4.6-12.8Upper Limit Indiana25,53023,3252,20526,00123,5872,4141.81.19.5 Iowa8,9988,1818178,9998,19780200.2-1.8 Kansas9,6288,8317979,6878,8468410.60.25.5 Kentucky23,01820,0772,94123,53920,5183,0212.32.22.7 Louisiana35,64633,6651,98133,70631,7491,957-5.4-5.7-1.2 Maine1,8281,6751531,7951,643152-1.8-1.9-0.7 Maryland19,82119,01081119,23218,399833-3-3.22.7 Massachusetts8,4948,1403548,2867,976310-2.4-2-12.4 Michigan41,12238,8802,24239,66637,5152,151-3.5-3.5-4.1 Minnesota10,5929,81877410,7089,9747341.11.6-5.2 Mississippi18,66617,3971,26918,47117,1841,287-1-1.21.4 Missouri32,46129,1243,33732,59229,1973,3950.40.31.7 Montana3,8143,4054093,6983,282416-3-3.61.7 Nebraska5,2354,8254105,2574,8374200.40.22.4 Nevada13,63712,4031,23413,67112,4051,2660.202.6 New Hampshire2,8182,5912272,7502,524226-2.4-2.6-0.4 New Jersey19,78618,95283419,58518,811774-1-0.7-7.2 New Mexico/e6,9726,2766967,1896,422767-3.1-2.3-10.2 New York50,62048,3562,26449,36047,1032,257-2.5-2.6-0.3 North Carolina34,59632,0852,51135,28332,6492,63421.84.9 North Dakota/e,f1,7791,5682111,7111,5141973.83.46.6 Ohio52,17547,5814,59451,47847,0524,426-1.3-1.1-3.7 Oklahoma/d29,53126,1453,38627,72924,6153,114-6.1-5.9-8 Oregon/d15,15013,8461,30415,20013,8771,3230.30.21.5 Pennsylvania49,00046,1882,81248,07445,2812,793-1.9-2-0.7 Rhode Island/c2,0301,962681,8081,73969-10.9-11.41.5 South Carolina20,37118,9811,39019,54118,2331,308-4.1-3.9-5.9 South Dakota3,8203,3234973,9593,4245353.637.6 Tennessee28,20325,4812,72228,98025,9693,0112.81.910.6 Texas157,903144,92812,975157,584144,75012,834-0.2-0.1-1.1 Utah/d6,1715,7654066,4375,9454924.33.121.2 Vermont/c1,2291,146831,1261,021105-8.4-10.926.5 Virginia37,81334,7043,10937,15834,0043,154-1.7-21.4 Washington19,01917,3771,64219,54017,8111,7292.72.55.3 West Virginia7,1626,2868767,0926,274818-1-0.2-6.6 Wisconsin22,14420,7341,41022,68221,1471,5352.428.9 Wyoming2,3742,0882862,4732,1812924.24.52.1 Note: Jurisdiction refers to the legal authority of state or federal correctional officials over a prisoner, regardless of where the prisoner is held. Counts are for December 31 of each year and are based on prisoners with a sentence of more than one year. :Not calculated. a/Includes prisoners held in non-secure, privately operated community corrections facilities and juveniles held in contract facilities. b/Total and state estimates for 2016 include imputed counts for North Dakota, which did not submit 2016 National Prisoner Statistics (NPS) data. Total and state estimates for 2017 include imputed counts for New Mexico and North Dakota, which did not submit 2017 NPS data. See Methodology. c/Prisons and jails form one integrated system. Data include total jail and prison populations. d/State submitted updated 2016 sentenced population counts. e/State did not submit 2017 NPS data. Counts were imputed for 2017 and should not be compared to 2016 counts. See Methodology. f/State did not submit 2016 NPS data. Counts were imputed for 2016 and should not be compared to 2017 counts. See Methodology. Source: Bureau of Justice Statistics, National Prisoner Statistics, 2016 and 2017. Gender Perception in Workforce Occupationbls_proportion_womenimage_search_proportion_womenDifferenceHypothesis Test singer0.3770.617-0.24Sample Proportion mechanic0.0240.242-0.218Tail Type aircraft pilot0.0620.271-0.209Null Hypothesis maintenance worker0.0450.226-0.181Alt Hypothesis computer support specialist0.2710.442-0.171Standard Score electrical engineer0.1230.271-0.148P-Value chemical engineer0.1690.31-0.141Conclusion? judge0.2810.415-0.134 railroad conductor0.0520.179-0.127 computer programmer0.2120.338-0.126 chemical technician0.2740.395-0.121 electrician0.0250.129-0.104 police0.1360.237-0.101 paramedic0.3060.4-0.094 model0.7840.875-0.091 clergy0.170.258-0.088 truck driver0.0620.148-0.086 construction manager0.0740.153-0.079 physician0.40.478-0.078 radio operator0.1440.216-0.072 plumber0.0220.091-0.069 emergency medical technician0.3060.373-0.067 cook0.3930.456-0.063 retail buyer0.5580.62-0.062 machinist0.050.111-0.061 dispatcher0.5740.634-0.06 mechanical engineer0.0920.152-0.06 distribution manager0.1920.25-0.058 shipping clerk0.3130.368-0.055 construction inspector0.1020.155-0.053 laborer0.1990.25-0.051 chemist0.3830.433-0.05 mail clerk0.3680.418-0.05 magistrate0.2810.33-0.049 flight attendant0.7290.774-0.045 concierge0.3110.345-0.034 building inspector0.1020.132-0.03 chef0.1970.225-0.028 farmer0.2520.28-0.028 network administrator0.2350.259-0.024 athlete0.3640.379-0.015 head cook0.1970.211-0.014 stock clerk0.3790.382-0.003 computer systems analyst0.3890.391-0.002 pharmacist0.5750.5750 lifeguard0.4960.4920.004 customer service representative0.6510.6410.01 veterinarian0.6250.6130.012 artist0.5190.5070.012 industrial engineer0.2260.1840.042 engineering technician0.20.1470.053 inspector0.3790.3240.055 property manager0.4860.430.056 correctional officer0.2850.2290.056 real estate sales agent0.5710.5090.062 library assistant0.8010.7370.064 food service manager0.4630.3980.065 archivist0.6140.5480.066 bellhops0.3110.2410.07 butcher0.2430.1670.076 film director0.2980.2210.077 musician0.3770.2930.084 security guard0.2430.1510.092 dietitian0.9410.8460.095 restaurant hostess0.8590.7590.1 receptionist0.910.8080.102 bailiff0.2850.1810.104 jailer0.2850.1790.106 real estate manager0.4860.3760.11 announcer0.2310.1190.112 cashier0.7270.6070.12 reporter0.5530.430.123 janitor0.3520.2290.123 marketing specialist0.6080.4780.13 municipal clerk0.7520.6170.135 librarian0.7950.6550.14 bus driver0.4780.3360.142 physician assistant0.7090.5640.145 telemarketer0.6940.5470.147 nutritionist0.9410.790.151 veterinary assistant0.8420.6910.151 medical scientist0.5210.3660.155 chief executive0.280.1020.178 travel agent0.8270.6390.188 general manager0.3410.1510.19 secretary0.950.7430.207 probation officer0.6350.4270.208 correspondent0.5530.3420.211 legal assistant0.8630.6430.22 health information technician0.9170.6960.221 licensed practical nurse0.8950.6670.228 clinical laboratory technician0.6930.4580.235 administrative assistant0.950.7080.242 tax collector0.5840.3190.265 file clerk0.8140.5470.267 paralegal0.8630.5890.274 nurse practitioner0.9220.640.282 bartender0.5730.2860.287 office clerk0.8310.5390.292 restaurant host0.8590.5460.313 news analyst0.5530.2340.319 claims adjuster0.6170.2840.333 medical records technician0.9170.5680.349 interviewer0.850.50.35 bill collector0.7130.1950.518 bls_proportion_women: the true proportion of women who work in an occupation image_search_proportion_women: the proportion of women who appeared in image searches for each occupation. Survey Key originalshort I enjoy listening to music.Music I prefer.Slow songs or fast songs Dance, Disco, FunkDance Folk musicFolk CountryCountry ClassicalClassical music MusicalsMusical PopPop RockRock Metal, Hard rockMetal or Hardrock PunkPunk Hip hop, RapHiphop, Rap Reggae, SkaReggae, Ska Swing, JazzSwing, Jazz Rock n RollRock n roll Alternative musicAlternative LatinLatino Techno, TranceTechno, Trance OperaOpera I really enjoy watching movies.Movies Horror moviesHorror Thriller moviesThriller ComediesComedy Romantic moviesRomantic Sci-fi moviesSci-fi War moviesWar TalesFantasy/Fairy tales CartoonsAnimated DocumentariesDocumentary Western moviesWestern Action moviesAction HistoryHistory PsychologyPsychology PoliticsPolitics MathematicsMathematics PhysicsPhysics InternetInternet PC Software, HardwarePC Economy, ManagementEconomy Management BiologyBiology ChemistryChemistry Poetry readingReading GeographyGeography Foreign languagesForeign languages MedicineMedicine LawLaw CarsCars ArtArt exhibitions ReligionReligion Outdoor activitiesCountryside, outdoors DancingDancing Playing musical instrumentsMusical instruments Poetry writingWriting Sport and leisure activitiesPassive sport Sport at competitive levelActive sport GardeningGardening Celebrity lifestyleCelebrities ShoppingShopping Science and technologyScience and technology TheatreTheatre SocializingFun with friends Adrenaline sportsAdrenaline sports PetsPets FlyingFlying Thunder, lightningStorm DarknessDarkness HeightsHeights SpidersSpiders SnakesSnakes Rats, miceRats AgeingAgeing Dangerous dogsDangerous dogs Public speakingFear of public speaking Smoking habitsSmoking DrinkingAlcohol I live a very healthy lifestyle.Healthy eating I take notice of what goes on around me.Daily events I try to do tasks as soon as possible and not leave them until last minute.Prioritising workload I always make a list so I don't forget anything.Writing notes I often study or work even in my spare time.Workaholism I look at things from all different angles before I go ahead.Thinking ahead I believe that bad people will suffer one day and good people will be rewarded.Final judgement I am reliable at work and always complete all tasks given to me.Reliability I always keep my promises.Keeping promises I can fall for someone very quickly and then completely lose interest.Loss of interest I would rather have lots of friends than lots of money.Friends versus money I always try to be the funniest one.Funniness I can be two faced sometimes.Fake I damaged things in the past when angry.Criminal damage I take my time to make decisions.Decision making I always try to vote in elections.Elections I often think about and regret the decisions I make.Self-criticism I can tell if people listen to me or not when I talk to them.Judgment calls I am a hypochondriac.Hypochondria I am emphatetic person.Empathy I eat because I have to. I don't enjoy food and eat as fast as I can.Eating to survive I try to give as much as I can to other people at Christmas.Giving I don't like seeing animals suffering.Compassion to animals I look after things I have borrowed from others.Borrowed stuff I feel lonely in life.Loneliness I used to cheat at school.Cheating in school I worry about my health.Health I wish I could change the past because of the things I have done.Changing the past I believe in God.God I always have good dreams.Dreams I always give to charity.Charity I have lots of friends.Number of friends Timekeeping.Punctuality Do you lie to others?Lying I am very patient.Waiting I can quickly adapt to a new environment.New environment My moods change quickly.Mood swings I am well mannered and I look after my appearance.Appearence and gestures I enjoy meeting new people.Socializing I always let other people know about my achievements.Achievements I think carefully before answering any important letters.Responding to a serious letter I enjoy childrens' company.Children I am not afraid to give my opinion if I feel strongly about something.Assertiveness I can get angry very easily.Getting angry I always make sure I connect with the right people.Knowing the right people I have to be well prepared before public speaking.Public speaking I will find a fault in myself if people don't like me.Unpopularity I cry when I feel down or things don't go the right way.Life struggles I am 100% happy with my life.Happiness in life I am always full of life and energy.Energy levels I prefer big dangerous dogs
Answered 7 days AfterNov 13, 2022

Answer To: Crimes by State XXXXXXXXXXBureau of Justice StatisticsFilename: p17t04.csvTable 4....

Shikha answered on Nov 20 2022
35 Votes
Milestone 3: Inference
Overview and Objectives
The primary objective of this project will be to perform a few hypothesis tests, make inferences on the test statistics, and state null/alter
native hypotheses. The techniques used in modern inferential research require software beyond our current means (SPSS, R, SAS); however, we are nonetheless able to observe a few examples that are illustrative of the research process.
You will work with populations, samples, and proportions in these exercises. You’ll then determine whether to use a Z-statistic or T-statistic to determine whether to reject the null hypothesis and you’ll also make connections between hypothesis testing and confidence intervals. You’ll have the opportunity to explore real-world datasets in the fields of criminal justice, equity, and surveying.
With a firm knowledge of this statistical concept, you’ll possess the conceptual knowledge necessary to further pursue these techniques if they are of interest to you.
Part One: Crime Analysis from 2016-2017
National law enforcement noticed an overall decline in crimes among US Citizens. This data set records the number of crimes in each state and the percent change from 2016 to 2017. Let’s suppose that leadership would like to conduct a hypothesis test at the 99% significance level that crime has decreased over time (by using percent change). For this part, you should look at the total percent change column to run your test.
Performing the Test
Step 1:Write the null hypothesis/alternative hypotheses below. Determine the tail type.
:     left tail test
Step 2:Perform the Hypothesis Test in Excel. Fill out the cells indicated on the spreadsheet and determine whether to accept/reject the null hypothesis.
Ans : Filled in sheet
Step 3:Find a 99% confidence interval for the percent change from 2016 to 2017 by filling out the cells in the Excel sheet.
Ans:...
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