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lmcmath34
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instructor
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LOS MEDANOS COLLEGE
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Showing 1 to 61 of 61 data sets
Data Set/Description Owner Last edited Size Views
Math 110 North Carolina Births
In 2004, the state of North Carolina released a large data set containing information about births recorded in this state. This data set is useful for researchers studying the relation between habits and practices of expectant mothers and the birth of their children. We work with a random sample of observations from this data set.
lmcmath34Jan 13, 202081KB1
Math 110 NBA Roster 2017lmcmath34Jan 9, 202035KB1
Math 110 NBA Salaries 2019
2019 and future NBA player salaries
lmcmath34Jan 9, 202039KB5
Math 110 NBA Salaries 2017lmcmath34Jan 9, 202044KB1
Math 110 Titanic Passenger List
VARIABLE DESCRIPTIONS:survival: Survival (0 = No; 1 = Yes),pclass: Passenger Class (1 = 1st; 2 = 2nd; 3 = 3rd),name: Passenger Name,sex: Passenger Gender/Sex,age: Passenger Age,sibsp: Number of Siblings/Spouses Aboard,parch: Number of Parents/Children Aboard,ticket: Ticket Number,fare: Passenger Fare,cabin: Cabin,embarked: Port of Embarkation (C = Cherbourg; Q = Queenstown; S = Southampton),boat: Lifeboat,body: Body Identification Number (if died),home.dest: Home/Destination.
lmcmath34Jan 9, 202099KB6
Math 110 OpenIntro email50
This is a subsample of the larger email data set from 2012. spam - Indicator for whether the email was spam. to_multiple - Indicator for whether the email was addressed to more than one recipient. from - Whether the message was listed as from anyone (this is usually set by default for regular outgoing email). cc - Indicator for whether anyone was CCed. sent_email - Indicator for whether the sender had been sent an email in the last 30 days. time - Time at which email was sent. image - The number of images attached. attach - The number of attached files. dollar - The number of times a dollar sign or the word "dollar" appeared in the email. winner - Indicates whether "winner" appeared in the email. inherit - The number of times "inherit" (or an extension, such as "inheritance") appeared in the email. viagra - The number of times "viagra" appeared in the email. password - The number of times "password" appeared in the email. num_char - The number of characters in the email, in thousands. line_breaks - The number of line breaks in the email (does not count text wrapping). format - Indicates whether the email was written using HTML (e.g. may have included bolding or active links). re_subj - Whether the subject started with "Re:", "RE:", "re:", or "rE:" exclaim_subj - Whether there was an exclamation point in the subject. urgent_subj - Whether the word "urgent" was in the email subject. exclaim_mess - The number of exclamation points in the email message. period_mess - The number of periods in the message. signoff - Whether a sign-off of "Cheers", "Regards", or "Best" (also, "Best Regards") was used. number - Factor variable saying whether there was no number, a small number (under 1 million), or a big number.
lmcmath34Jan 7, 20204KB3
Math 110 Complete County Data Set
state - State.name - County name.FIPS - FIPS code.pop2000 - 2000 population.pop2010 - 2010 population.pop2011 - 2011 population.pop2012 - 2012 population.pop2013 - 2013 population.pop2014 - 2014 population.pop2015 - 2015 population.pop2016 - 2016 population.pop2017 - 2017 population.age_under_5_2010 - Percent of population under 5 (2010).age_under_18_2010 - Percent of population under 18 (2010).age_over_65_2010 - Percent of population over 65 (2010).female_2010 - Percent of population that is female (2010).white_2010 - Percent of population that is white (2010).black_2010 - Percent of population that is black (2010).native_2010 - Percent of population that is a Native American (2010).asian_2010 - Percent of population that is a Asian (2010).pac_isl_2010 - Percent of population that is Hawaii or Pacific Islander (2010).two_plus_races_2010 - Percent of population that identifies as two or more races (2010).hispanic_2010 - Percent of population that is Hispanic (2010).white_not_hispanic_2010 - Percent of population that is white and not Hispanic (2010).no_move_in_one_plus_year_2010 - Percent of population that has not moved in at least one year (2006-2010).foreign_born_2010 - Percent of population that is foreign-born (2006-2010).foreign_spoken_at_home_2010 - Percent of population that speaks a foreign language at home (2006-2010).hs_grad_2010 - Percent of population that is a high school graduate (2006-2010).hs_grad_2016 - Percent of population that is a high school graduate (2012-2016).some_college_2016 - Percent of population with some college education (2012-2016).bachelors_2010 - Percent of population that earned a bachelor's degree (2006-2010).bachelors_2016 - Percent of population that earned a bachelor's degree (2012-2016).veterans_2010 - Percent of population that are veterans (2006-2010).mean_work_travel_2010 - Mean travel time to work (2006-2010).housing_units_2010 - Number of housing units (2010).homeownership_2010 - Homeownership rate (2006-2010).housing_multi_unit_2010 - Housing units in multi-unit structures (2006-2010).median_val_owner_occupied_2010 - Median value of owner-occupied housing units (2006-2010).households_2010 - Households (2006-2010).persons_per_household_2010 - Persons per household (2006-2010).per_capita_income_2010 - Per capita money income in past 12 months (2010 dollars, 2006-2010)metro_2013 - Whether the county contained a metropolitan area in 2013.median_household_income_2010 - Median household income (2006-2010).median_household_income_2016 - Median household income (2012-2016).private_nonfarm_establishments_2009 - Private nonfarm establishments (2009).private_nonfarm_employment_2009 - Private nonfarm employment (2009).percent_change_private_nonfarm_employment_2009 - Private nonfarm employment, percent change from 2000 to 2009.nonemployment_establishments_2009 - Nonemployer establishments (2009).firms_2007 - Total number of firms (2007).black_owned_firms_2007 - Black-owned firms, percent (2007).native_owned_firms_2007 - Native American-owned firms, percent (2007).asian_owned_firms_2007 - Asian-owned firms, percent (2007).pac_isl_owned_firms_2007 - Native Hawaiian and other Pacific Islander-owned firms, percent (2007).hispanic_owned_firms_2007 - Hispanic-owned firms, percent (2007).women_owned_firms_2007 - Women-owned firms, percent (2007).manufacturer_shipments_2007 - Manufacturer shipments, 2007 ($1000).mercent_whole_sales_2007 - Merchange wholesaler sales, 2007 ($1000).sales_2007 - Retail sales, 2007 ($1000).sales_per_capita_2007 - Retail sales per capita, 2007.accommodation_food_service_2007 - Accommodation and food services sales, 2007 ($1000).building_permits_2010 - Building permits (2010).fed_spending_2009 - Federal spending, in thousands of dollars (2009).area_2010 - Land area in square miles (2010).density_2010 - Persons per square mile (2010).smoking_ban_2010 - Describes whether the type of county-level smoking ban in place in 2010, taking one of the values "none", "partial", or "comprehensive".poverty_2010 - Percent of population below poverty level (2006-2010).poverty_2016 - Percent of population below poverty level (2012-2016).civilian_labor_force_2007 - Civilian labor force in 2007.employed_2007 - Number of civilians employed in 2007.unemployed_2007 - Number of civilians unemployed in 2007.unemployment_rate_2007 - Unemployment rate in 2007.civilian_labor_force_2008 - Civilian labor force in 2008.employed_2008 - Number of civilians employed in 2008.unemployed_2008 - Number of civilians unemployed in 2008.unemployment_rate_2008 - Unemployment rate in 2008.civilian_labor_force_2009 - Civilian labor force in 2009.employed_2009 - Number of civilians employed in 2009.unemployed_2009 - Number of civilians unemployed in 2009.unemployment_rate_2009 - Unemployment rate in 2009.civilian_labor_force_2010 - Civilian labor force in 2010.employed_2010 - Number of civilians employed in 2010.unemployed_2010 - Number of civilians unemployed in 2010.unemployment_rate_2010 - Unemployment rate in 2010.civilian_labor_force_2011 - Civilian labor force in 2011.employed_2011 - Number of civilians employed in 2011.unemployed_2011 - Number of civilians unemployed in 2011.unemployment_rate_2011 - Unemployment rate in 2011.civilian_labor_force_2012 - Civilian labor force in 2012.employed_2012 - Number of civilians employed in 2012.unemployed_2012 - Number of civilians unemployed in 2012.unemployment_rate_2012 - Unemployment rate in 2012.civilian_labor_force_2013 - Civilian labor force in 2013.employed_2013 - Number of civilians employed in 2013.unemployed_2013 - Number of civilians unemployed in 2013.unemployment_rate_2013 - Unemployment rate in 2013.civilian_labor_force_2014 - Civilian labor force in 2014.employed_2014 - Number of civilians employed in 2014.unemployed_2014 - Number of civilians unemployed in 2014.unemployment_rate_2014 - Unemployment rate in 2014.civilian_labor_force_2015 - Civilian labor force in 2015.employed_2015 - Number of civilians employed in 2015.unemployed_2015 - Number of civilians unemployed in 2015.unemployment_rate_2015 - Unemployment rate in 2015.civilian_labor_force_2016 - Civilian labor force in 2016.employed_2016 - Number of civilians employed in 2016.unemployed_2016 - Number of civilians unemployed in 2016.unemployment_rate_2016 - Unemployment rate in 2016.civilian_labor_force_2017 - Civilian labor force in 2017.employed_2017 - Number of civilians employed in 2017.unemployed_2017 - Number of civilians unemployed in 2017.unemployment_rate_2017 - Unemployment rate in 2017.
lmcmath34Jan 6, 20202MB5
Math 110 County Data Set 2017
name - County names.state - State names.pop2000 - Population in 2000.pop2010 - Population in 2010.pop2017 - Population in 2017.pop_change - Population change from 2010 to 2017.poverty - Percent of population in poverty in 2017.homeownership - Homeownership rate, 2006-2010.multi_unit - Percent of housing units in multi-unit structures, 2006-2010.unemployment_rate - Unemployment rate in 2017.metro - Whether the county contains a metropolitan area.median_edu - Median education level (2013-2017).per_capita_income - Per capita (per person) income (2013-2017).median_hh_income - Median household income.smoking_ban - Describes whether the type of county-level smoking ban in place in 2010, taking one of the values "none", "partial", or "comprehensive".
lmcmath34Jan 6, 2020389KB2
Math 110 MLB Teams 2019
Data from all 30 Major League Baseball teams in 2011. Total runs, at bats, hits, homeruns, batting average, strikeouts, stolen bases, wins, on base proportion, slugging proportion (total bases divided by at bats), and on-base plus slugging proportion (on base proportion plus slugging proportion).
lmcmath34Dec 4, 20193KB111
Ch 7A Group Datalmcmath34Dec 2, 2019322B40
MLB 2019 Hitting
2019, MLB Batters statistics Batting Average Home Runs RBIs Runs Scored Stolen Bases etc.
lmcmath34Nov 21, 201958KB173
Chapter 1B Lab datalmcmath34Sep 11, 2019882B21
Chapter 1B Avg 3P per game comparison
Average 3P per game through 2018 for Reggie Miller, Stephen Curry, and Ray Allen. Compare with a stem plot or box plots.
lmcmath34Sep 5, 2019681B116
Impaired Driving Death Rate by Age and Gender 2012 to 2014 All States
Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012. 2012 Source: Fatality Analysis Reporting System (FARS)Note: Blank cells indicate data are suppressed. 2014 Source: Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Fatality rates based on fewer than 20 deaths are suppressed.
lmcmath34Aug 19, 20196KB303
Women's Soccer Cup 2018 USA ENGLAND FRANCElmcmath34Aug 19, 201988KB35
MLB August 2019 Batting NO DH
Year to date, as of August 18, 2019, MLB Batters statistics, Designated Hitters removed
lmcmath34Aug 19, 201953KB12
MLB August 2019 Batting
Year to date, as of August 18, 2019, MLB Batters statistics
lmcmath34Aug 19, 201954KB928
Chapter 1B 1C data listslmcmath34Jun 24, 2019751B173
Chi Square Lab Landlinelmcmath34Jul 14, 2018151B8
Statistics Survey Pocket Change
Students in an LMC statistics class conducted a research survey to find if people carried more than 50 cents in their pockets. The students surveyed 125 people, in as close to a random sample as possible. The survey was conducted in 2018.
lmcmath34Jul 8, 2018662B348
Summer 18 stats workshop heights and shoeslmcmath34Jun 4, 2018174B33
Sample Project Data SP2018 lmcmath34May 22, 20181KB6
Sample Statistics Project Data Filelmcmath34Apr 23, 20182KB165
LMC Random Sample of 250 Male Heights
data is collected from a random sample of 250 male students at Los Medanos College in April 2018
lmcmath34Apr 21, 20181KB381
US Apartment Rent Data March 2018lmcmath34Apr 21, 201888KB69
Education Attainment ages 25 and older USA 1970 to 2016 lmcmath34Apr 21, 20181.008KB9
CA Educational Attainment and Personal Income 2008-2014lmcmath34Apr 21, 201899KB16
nba_salaries_1990_to_2018.csvlmcmath34Apr 4, 2018758KB46
Math 34 Spring 2018 MMslmcmath34Mar 14, 2018136B79
Starbucks Data Chapter 7lmcmath34Dec 4, 2017670B77
CEO Salaries in California
Mostly 2011 data.
lmcmath34Nov 8, 201743KB142
Math 12 in class survey Summer 2017lmcmath34Jun 19, 2017207B7
Burger King Data Group Assignmentlmcmath34Jun 16, 2017280B41
Math 110 Manatee deaths in FLlmcmath34Jun 9, 2017613B57
Chapter 1B Consumer Reportslmcmath34Jun 5, 2017482B101
OpenIntro MLB 2011
Data from all 30 Major League Baseball teams in 2011. Total runs, at bats, hits, homeruns, batting average, strikeouts, stolen bases, wins, on base proportion, slugging proportion (total bases divided by at bats), and on-base plus slugging proportion (on base proportion plus slugging proportion).
lmcmath34Apr 28, 20172KB509
OpenIntro World Atheism Poll 2012
In August of 2012, news outlets ranging from the Washington Post to the Huffington Post ran a story about the rise of atheism in America. The source for the story was a poll that asked people, “Irrespective of whether you attend a place of worship or not, would you say you are a religious person, not a religious person or a convinced atheist?”
lmcmath34Apr 18, 20172MB602
North Carolina Births
In 2004, the state of North Carolina released a large data set containing information about births recorded in this state. This data set is useful for researchers studying the relation between habits and practices of expectant mothers and the birth of their children. We work with a random sample of observations from this data set.
lmcmath34Apr 9, 201796KB926
Math 110 OpenIntro Ames Data Set
Description Data on all residential home sales in Ames, Iowa between 2006 and 2010. The data set contains many explanatory variables on the quality and quantity of physical attributes of residential homes in Iowa sold between 2006 and 2010. Most of the variables describe information a typical home buyer would like to know about a property (square footage, number of bedrooms and bathrooms, size of lot, etc.). A detailed discussion of variables can be found in the original paper referenced below. Source: De Cock D. 2011. Ames, Iowa: Alternative to the Boston Housing Data as an End of Semester Regression Project. Journal of Statistics Education; 19(3). Format A data frame with 2930 observations and 82 variables. A description of all variables can be found at amstat.org.
lmcmath34Mar 14, 20170B786
OpenIntro countylmcmath34Jan 30, 2017906KB975
Body Image Data Set
A student survey was conducted at a major university. Data were collected from a random sample of 239 undergraduate students, and the information that was collected included physical characteristics (such as height, handedness, etc.), study habits, academic performance and attitudes, and social behaviors. In this exercise, we will focus on exploring relationships between some of those variables. Note that empty boxes signify that this observation is not available (this is known as a 'missing value').Variables: Variables Gender - Male or Female Height - Self-reported height (in inches) GPA - Student's cumulative college GPA HS_GPA - Student's high school GPA (senior year) Seat - Typical classroom seat location (F = Front, M = Middle, B = Back) WtFeel - Does the student feel that he/she is: Underweight, About Right, Overweight Cheat - Would the tell the instructor if he/she saw somebody cheating on exam? (No or Yes)
lmcmath34Dec 1, 20167KB389
Hair Color Eye Color LA studentlmcmath34Sep 27, 2016477B33
AC GAWKlmcmath34Sep 27, 2016934B64
Math 34 Class Data 2016lmcmath34Sep 26, 2016963B192
Pokemon Pokedex Unit 3 Project
Pokemon's dex #, ability, stats, whether Pokemon in XY & ORAS (Yes or No), HP = Hit Points, ATK = Attack, DEF = Defense, SP ATK = Special Attack, SP DEF = Special Defense, SPEED, TOTAL
lmcmath34Sep 21, 201699KB456
Movie Ratings Unit 3 Projectlmcmath34Sep 21, 201613KB108
Child Development Unit 3 Project
Body measurements for 136 children at three different ages: 2, 9, and 18. The children were born in 1928-29 in Berkeley, CA. Data from a study by Tuddenham, R. D., Snyder, M. M. 1954. Physical growth of California boys and girls from birth to eighteen years. Child Development 1:183-364.
lmcmath34Sep 21, 20168KB83
Body Measurements Unit 3 Project
Body measurements for 507 adults. Used for Math 28/34 Activity 7.5 Module 7 Lab.
lmcmath34Sep 21, 201658KB51
Kevin Durant 2015-2016 Regular Season
Data variables: Season Game (G), Age (starting Feb 1), Team, Opponent, Games Started (GS), Minutes Played (MP), Field Goals (FG), Field Goal Attempts (FGA), Field Goal Percentage (FG%), 3-Point Field Goals (3P), 3-Point Field Goal Attempts (3PA), 3-Point Field Goal Percentage (3P%), Free Throws (FT), Free Throw Attempts (FTA), Free Throw Percentage (FT%), Offensive Rebounds (ORB), Defensive Rebounds (DRB), Total Rebounds (TRB), Assists (AST), Steals (STL), Blocks (BLK), Turnovers (TOV), Personal Fouls (PF), Points (PTS), Game Score (GmSc)
lmcmath34Sep 1, 201611KB384
LeBron James 2015-2016 Regular Season
Data variables: Season Game (G), Age (starting Feb 1), Team, Opponent, Games Started (GS), Minutes Played (MP), Field Goals (FG), Field Goal Attempts (FGA), Field Goal Percentage (FG%), 3-Point Field Goals (3P), 3-Point Field Goal Attempts (3PA), 3-Point Field Goal Percentage (3P%), Free Throws (FT), Free Throw Attempts (FTA), Free Throw Percentage (FT%), Offensive Rebounds (ORB), Defensive Rebounds (DRB), Total Rebounds (TRB), Assists (AST), Steals (STL), Blocks (BLK), Turnovers (TOV), Personal Fouls (PF), Points (PTS), Game Score (GmSc)
lmcmath34Sep 1, 201610KB320
Stephen Curry 2015-2016 Regular Season
Data variables: Season Game (G), Age (starting Feb 1), Team, Opponent, Games Started (GS), Minutes Played (MP), Field Goals (FG), Field Goal Attempts (FGA), Field Goal Percentage (FG%), 3-Point Field Goals (3P), 3-Point Field Goal Attempts (3PA), 3-Point Field Goal Percentage (3P%), Free Throws (FT), Free Throw Attempts (FTA), Free Throw Percentage (FT%), Offensive Rebounds (ORB), Defensive Rebounds (DRB), Total Rebounds (TRB), Assists (AST), Steals (STL), Blocks (BLK), Turnovers (TOV), Personal Fouls (PF), Points (PTS), Game Score (GmSc)
lmcmath34Aug 31, 201610KB267
Unit 11 Chi Square Day of Week datalmcmath34Jul 4, 2016162B17
Guatemalan Family Planning Data v2
BEST TO USE THIS VERSION BECAUSE SOME PROBLEMS HAVE BEEN FIXED. DO NOT CHOOSE age.cat - IT HAS TOO MANY CATEGORIES. This demographic and family planning data was collected by University of Maine at Farmington students in Comalapa, Guatemala in 2007 in partnership with Women’s International Network for Guatemalan Solutions (WINGS). WINGS is non-governmental organization whose mission is to create opportunities for Guatemalan families to improve their lives through family planning education and access to reproductive health services. Demographic data: gender, age.cat, civil.status, occ.place (occupation place), occ.type (occupation type), edu (education), religion, numchildren, pregtimes (pregnancy times – numeric), preg.times.cat (pregnancy times – categorical ),Amenities: car,television,phone,bicycle, Sexual Activity: firstsex (age of first sexual experience – numeric), firstsex.cat(age of first sexual experience – categorical) , everbeenpregnant, fagefirstpreg (age at first pregnancy, females only), mageatfirstchild (age at first child, males only), current.partner, Birth Control Method Awareness: awarebirthcontrol, awareCondoms, awareFemalesterilization, awareMalesterilization, awarePill, awareIUD, awareInjection, awareRhythm, agefirstlearn (age when first learned about birth control), Birth Control Information Obtained from: Healthpromoter, School, Media, Other.obtained (information obtained from another source), Birth Control Usage: everusedbirthcontrol, currusingbirthcontrol, Other Family Planning Data: comfortable (comfortable visiting family planning clinic) , delaying (opinion on delaying a first pregnancy) , spacing.pregnancies (opinion on spacing pregnancies), howlongwaitbetween (how long would they like to wait between pregnancies), limiting (opinion on limiting family size), howmanychildren (how many children would they like to have), pregplans12 (plan to become pregnant within the next 12 months).
lmcmath34Jun 27, 2016103KB8
Educational attainment by region for Chi Square Homogeneity Testlmcmath34Jun 10, 2016271B86
Animal testing data for Chi Square Independence Testlmcmath34Jun 10, 2016192B148
Jurors in Alameda County for Chi Square GOF Testlmcmath34Jun 10, 2016139B48
2003 New Jersey Births for Chi Squarelmcmath34Jun 10, 2016171B138
2015-2016 NBA Salarieslmcmath34Jun 9, 201622KB3945
Statcrunch Module 2A Lab.xlsx
Module 2A Lab Data
lmcmath34Jun 12, 2014847B165
Statcrunch Module 2A Group.xlsx
Module 2A Group Work data
lmcmath34Jun 12, 2014615B193
StatCrunch Module 2A.xlsx
Module 2A data, car prices
lmcmath34Jun 12, 2014320B222

 

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