Your project will include the following:

1. A statement of the research question
2. A description of the source of the data
3. A description of the variables used in the analysis and an explanation of why you chose these variables
4. Graphs (with clear labels) and numerical summaries to support your analysis
5. Explanations that reflect the use of Unit 2 concepts
6. An answer to the question based on your analysis of the data

Option 1: Movies

Research question for Option 1:Which genres of movies are more successful:Action/Adventure movies or other types of movies?

Answer this question using the data setMovies.txt.Choose at least one quantitative variable that relates to your definition of success. Compare the success of action/adventure movies to other movies using the variable(s) you chose. Follow the instructions above.

Option 2: Body Temperatures

In current medical practice, 98.6F is considered a normal body temperature, but this is an average. Normal body temperatures will vary throughout the day and are sensitive to hormone levels. However, an abnormally high or an abnormally low temperature may be a sign of illness.

Research question for Option 2:

1. According to this data, what is a normal range for adult body temperature? What temperatures would you label as abnormally high or abnormally low?

1. Should there be different normal temperature benchmarks for men and women?

To answer these questions analyze the adult body temperature data inBody Temperature and Heart Rate.txt. Follow the instructions above.

Option 3: Breakfast Cereals

Research question for Option 3:Are cereals targeted at children less healthy than cereals targeted at adults?

Answer this question using the data setCereals.txt. Choose at least one quantitative variable that relates to your definition of healthy or unhealthy. Compare adult and child cereals using the variable(s) you chose. Follow the instructions above.

Option 4:Unisex Belt

Suppose that you are designing a one-size-fits-most unisex belt for adults.The belt should be long enoughto fit typical adults without having an excessive amount of extra length.

Research questions for Option 4:

1. What is the length of your belt? Where along the length of the belt are the holes and why?

2. Based on this data, approximately what proportion of adults will be able to wear your belt?

Answer these questions using the data setBody Measurement.txt.Choose at least one quantitative variable that is relevant to the design of your belt. Follow the instructions above.

Data

Option 1: Movies inMovies.txt

This data set describes 75 movies listed in the top 100 USA box office sales of all time. Data was taken from IMDb.com in Spring 2014.

VariableVariable Definition

YearYear

Studio NameStudio Name

Studio TypeStudio Type (Big 6,Other)

GenreGenre (Action/Adventure, Other)

Budget (millions $)Budgeted Cost to Produce (millions$)

US Box Office (millions $)US Box Office Revenues (millions$)

First Week End (millions $)First Week End Gross Box Office Revenues (millions $)

Movie_Length (minutes)Length (minutes)Trailer_Length (seconds)Trailer Length (seconds)DirectorName of the Director

Director_GenderGender of the Director

Director_RaceRace of the DirectorStarName of the StarStar_GenderGender of the StarStar_RaceRace of the Star

CostarName of the CostarCostar_GenderGenderof the CostarCostar_RaceRace of the CostarIMDb_RatingHow it was rated byIMDb

MetascoreHow it was rated by MetascoreMetacriticcom_ratingHow it was rated by MetacriticcomRotten_TomatoesHow it was rated by Rotten TomatoesNumber_of_OscarsNumber of Oscars WonOscar_NominationsNumber of Oscar NominationsOscar_WinnerDid this movie win an Oscar?

Option 2:Body Temperature and Heart Rate.txt

Gender(male, female)Temperature(degrees F)Heart Rate(Beats per minute)

Option 3:Cereals.txt

Manufacturer: Manufacturer of cereal Type: Cereal type (hot or cold)

Shelf:Display shelf at the grocery store

Target: Target audience for cereal (Child or Adult) Calories: Calories per serving

Cups: Number of cups in one serving Weight: Weight in ounces of one serving Protein: Grams of protein in one serving Fat: Grams of fat in one serving

Sodium: Milligrams of sodium in one serving Fiber: Grams of dietary fiber in oneserving

Carbs: Grams of complex carbohydrates in one serving Sugars:Grams of sugars in one serving

Potassium:Milligrams of potassium in one serving

Vitamins: Vitamins and minerals - 0, 25, or 100% of daily need in one serving Rating: Consumer Reports overall rating of nutritional value

Option 4: Body measurements inBody Measurement.txt

VariableVariable DefinitionGenderGender (male, female)AgeAge (Years)

HeightHeight (Centimeters)

WeightWeight (Kilograms)

Pelvic_diaPelvic Diameter (Centimeters)

Chest_depthChest Depth (Centimeters)

Chest_diaChest Diameter (Centimeters)

Elbow_diaElbow Diameter (Centimeters)

Wrist_diaWrist Diameter (Centimeters)

Knee_diaKnee Diameter (Centimeters)

Ankle_diaAnkle Diameter (Centimeters)

Shoulder_girthShoulder Girth (Centimeters)

Chest_girthChest Girth (Centimeters)

Waist_girthWaist Girth (Centimeters)

Abdominal_girthAbdominal Girth (Centimeters)

Hip_girthHip Girth (Centimeters)

Thigh_girthThigh Girth (Centimeters)

Bicep_girthBicep Girth (Centimeters)

Forearm_girthForearm Girth (Centimeters)

Knee_girthKnee Girth (Centimeters)

Calf_girthCalf Girth (Centimeters)Ankle_girthAnkle Girth (Centimeters)

Wrist_girthWrist Girth (Centimeters)

Simple linear regression results for Gender=f: Dependent Variable: HeartRate Independent Variable: Temperature HeartRate = -233.62377 + 3.1280169 Temperature Sample size: 65 R (correlation coefficient) = 0.28693115 R-sq = 0.082329487 Estimate of error standard deviation: 7.8257921 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept -233.62377 129.4627 63 -1.8045644 0.0759 Slope 3.1280169 1.3157231 #0 63 2.3774128 0.0205 Analysis of variance table for regression model: Source DF SS MS F-stat P-value Model 1 346.15116 346.15116 5.6520915 0.0205 Error 63 3858.3104 61.243022 Total 64 4204.4615Simple linear regression results for Gender=m: Dependent Variable: HeartRate Independent Variable: Temperature HeartRate = -87.966581 + 1.6445282 Temperature Sample size: 65 R (correlation coefficient) = 0.19558938 R-sq = 0.038255204 Estimate of error standard deviation: 5.8072579 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept -87.966581 101.9192 63 -0.86310116 0.3914 Slope 1.6445282 1.0388569 #0 63 1.5830171 0.1184 Analysis of variance table for regression model: Source DF SS MS F-stat P-value Model 1 84.511042 84.511042 2.5059432 0.1184 Error 63 2124.6274 33.724245 Total 64 2209.1385