Lab 1: On Your Own
Name:_Julie_ Ringuette_ Score_
In the previous few pages, you recreated some of the displays and preliminary analysis of
Arbuthnots baptism data. Your assignment involves repeating these steps, but for present day
birth records in the U
Chapter 1 Test Bank Questions
1. A sample of 160 workers in the downtown area classified each worker by race. A bar graph of the
results is given below, but the bar for black workers in the graph below has been omitted.
Using the information provided, the
On Your Own Lab_1.2_Morelli.rtf
Email: [email protected]
Name: Christine Morelli
Score:
1. What years are included in this data set? What are the dimensions of the data frame and
what are the variable or column names?
> present
year boys girls
1 194
R Test for Chaps 1-3 R_Test_Morelli.rtf
Email: [email protected]
Name: Christine Morelli
Score:
1. Load the beer data set provided into RStudio by showing the datapath. The data should
load in the first and appear in the second quadrant. (This datas
On Your Own Lab_7_Morelli.rtf
Email: [email protected]
Name: Christine Morelli
Score:
1.Calculatea95%confidenceintervalfortheaveragelengthofpregnancies(weeks)and
interpretitincontext.Notethatsinceyouredoinginferenceonasinglepopulationparameter,
ther
On Your Own Lab_8_Morelli.rtf
Email: [email protected]
Name: Christine Morelli
Score:
The question of atheism was asked by WIN-Gallup International in a similar survey that was
conducted in 2005. (We assume here that sample sizes have remained the s
On Your Own Lab_4.2_Morelli.rtf
Email: [email protected]
Name: Christine Morelli Score: _
Using calc streak, compute the streak lengths of sim basket.
1. Describe the distribution of streak lengths. What is the typical streak length for this simulat
On Your Own Lab_9_Morelli.rtf
Email: [email protected]
Name: Christine Morelli Score: _
1.Sexualharassmentinmiddleandhighschools.Anationallyrepresentativesurveyofstudents
ingrades7to12askedabouttheexperienceofthesestudentswithrespecttosexualharassme
Lab 2.4: On Your Own
1. Choose another traditional variable from mlb11 that you think might be a good predictor of
runs. Produce a scatterplot of the two variables and fit a linear model. At a glance, does there
seem to be a linear relationship?
> MLB <-
Lab 4.2: On Your Own
Amethyst Keeler
Comparing Kobe Bryant to the Independent Shooter Using calc streak, compute the streak lengths of sim
basket.
1.) Describe the distribution of streak lengths. What is the typical streak length for this simulated indepe
Lab 1.2: Introduction to R and RStudio
Example 1 We will work with data on annual rainfall in inches for various cities
throughout the world.
Algiers 30 Lagos
72
Athens 16 La Paz 23
Beirut 35 Lima
2
Berlin 23 London 23
Bogota 42 Madrid 17
Bombay 71 Moscow
NAME: Amethyst Keeler
SCORE:
Lab 1.3: On Your Own
1. Make a scatterplot of weight versus desired weight. Describe the relationship between these
two variables.
> plot(cdc$weight, cdc$wtdesire)
!
2. Lets consider a new variable: the difference between desi
Lab 7: On Your
1. Calculate a 95% confidence interval for the average length of pregnancies (weeks) and interpret it in context.
Note that since youre doing inference on a single population parameter, there is no explanatory variable, so you
can omit the
Lab 6: On Your Own
Name _ Score _
1. Using the following function (which was downloaded with the data set), plot all intervals.
What proportion of your confidence intervals include the true population mean? Is this
proportion exactly equal to the confiden
Lab 5: On Your Own
Name: Amethyst Keeler
Score:_
So far, we have only focused on estimating the mean living area in homes in Ames. Now youll try to estimate
the mean home price.
1. Take a random sample of size 50 from price. Using this sample, what is you
Calculator Examples
Finding the z confidence interval
1. Find the 90% confidence interval for the population mean, given the data values.
12.23
16.56
4.39
2.89
1.24
2.17
13.19
9.16
1.42
73.25
1.91
14.64
11.59
6.69
1.06
8.74
3.17
18.13
7.92
4.78
16.85
40.2
Probability Distribution Practice
Binomial Distribution
1. A coin is tossed four times. Calculate the probability of obtaining more heads than tails.
0.3125
2. An agent sells life insurance policies to five equally aged, healthy people. According to recen
Individual Project Questions
Instruction. Please use PHStat to do the following data analysis and copy and paste your PHStat
output to the specified space for each question. Type necessary conclusions as asked. This project
accounts for a total of 100 poi
Practice Notes 1-C and 2-A
Read each question carefully. Answer questions accordingly. Box in your final answers!
1. The cost per load (in cents) of 35 laundry detergents tested by a consumer organization are
shown here. Find the variance and the standard
Answer Key
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horizontal
yield of the crop
amount of time spent studying for the exam
mileage of the car
size of the winery
quantitative
v
Lab 2.2: Introduction to Linear Regression I
Batter up
The movie Moneyball focuses on the quest for the secret of success in baseball. It follows a
low-budget team, the Oakland Athletics, who believed that underused statistics, such as a
players ability t
1. Make a scatterplot of weight versus desired weight. Describe the relationship between these
two variables.
> plot(x=cdc$weight,y=cdc$wtdesire)
The general slope of the graph is positive which means as a persons weight increases so does
their desired we
Lab 2.4: On Your Own Name
Score_
1. Choose another traditional variable from mlb11 that you think might be a good predictor of
runs. Produce a scatterplot of the two variables and fit a linear model. At a glance, does there
seem to be a linear relationshi
1. Take a random sample of size 50 from price. Using this sample, what is your best point
estimate of the population mean?
sampprice <- sample(ames$SalePrice,50)
> mean(sampprice)
[1] 182666.7
2. Since you have access to the population, simulate the sampl
Lab 7: On Your Own
Kristin Jones
Score _
1. Calculate a 95% confidence interval for the average length of pregnancies (weeks) and
interpret it in context. Note that since youre doing inference on a single population parameter,
there is no explanatory vari