MGSC 291 EXAM 1 STUDY GUIDE 2026
COMPLETE QUESTIONS WITH
CORRECT DETAILED ANSWERS ||
100% GUARANTEED PASS
<RECENT VERSION>
1. The branch of statistical statistics called descriptive statistics summarizes
important aspects of a data set.
2. True/False - ANSWER ✔ True
3. The branch of statistical data called inferential statistics refers to drawing
conclusions about sample data by analyzing the corresponding population.
4. True/False - ANSWER ✔ False: Draws conclusions about the population,
based on the sample data from that population
5. The two branches of the study of statistics are generally referred to as
_____________________. - ANSWER ✔ Descriptive & Inferential
6. The teachers union in California wants to know the average salary for high
school teachers throughout the country. What will the teachers union
presumably calculate?
A. sample statistic
B. Sample Parameter
C. Population Statistic
D. Population Parameter - ANSWER ✔ A
7. Which of the following is an example of cross-sectional data?
, A. GDP of the United States from 1990-2010
B. Daily price of DuPont stock during the first quarter
C. Quarterly housing starts collected over the last 60 years
D. Results of market research testing consumer preferences fro soda -
ANSWER ✔ D
8. Which of the following is an example of time series data?
A. The sales price of townhouses sold last year
B. Quarterly housing starts collected over the last 60 years
C. Results of market research testing consumer preferences for soda
D. Starting salaries of recent business graduates at Penn State University
- ANSWER ✔ B
9. putting in a dataset - ANSWER ✔ data<-
c(81,85,93,93,99,76,75,84,78,84,81,82,89,81,96,82,74,70,84,86,80,70,131,7
5,88,102,115,89,82,79,106)
10.length(data) - ANSWER ✔ tells you how may entries are in your vector
11.sort(data) - ANSWER ✔ puts data smallest to largest
12.summary(data) - ANSWER ✔ returns the five number summary and the
sample mean
13.mean(data)
sd(data)
sum(data) - ANSWER ✔ sample mean
sample standard deviation
adds all the elements of the vector
,14.seq(1,100,1)
seq(2,100,2) - ANSWER ✔ tells r to create the sequence of numbers from 1
to 100 by 1 (1,2,3...)
1:100 does the same thing
(2,4,6...100)
15.data<-read.table(file.choose(),header=TRUE)
read.cvs - ANSWER ✔ calls this dataset into r and you can name it whatever
you want
16.getwd() - ANSWER ✔ creates the current working directory and calls in
your data too
17.dim(data) - ANSWER ✔ checks dimensions of data
18.data - ANSWER ✔ type the name of the data to see it
19.data[1:5] - ANSWER ✔ calls in the first five rows of the dataset if you are
working with a large dataset
20.head(data) - ANSWER ✔ shows the first few rows
21.data[,1:2] - ANSWER ✔ all rows for columns 1 and 2
22.data[1:5,1:2] - ANSWER ✔ first five rows and first two columns
23.str(data) - ANSWER ✔ structure of the object
, 24.View(data) - ANSWER ✔ (capital V) puts your data in a viewable popup
window
25.data$shoes - ANSWER ✔ calls in the column called shoes
26.attach(data) - ANSWER ✔ attaches data so you can work with it and don't
have to keep calling it in
27.(if you attach several datasets that have the same column names r will be
confused so you have to detach before attaching again)
28.data<-subset(data,Type=="WT") - ANSWER ✔ you can pick out certain
rows/columns and you can enter more == and "" in order to be more specific
29.hist(data) - ANSWER ✔ give you a histogram
30.hist(data,breaks=c(60,70,80,90)) - ANSWER ✔ creates a sequence and
breaks them
31.xlab="percents of ..." - ANSWER ✔ x axis name
32.ylab="Frequency" - ANSWER ✔ y axis name
33.main="..." - ANSWER ✔ title of the graph
COMPLETE QUESTIONS WITH
CORRECT DETAILED ANSWERS ||
100% GUARANTEED PASS
<RECENT VERSION>
1. The branch of statistical statistics called descriptive statistics summarizes
important aspects of a data set.
2. True/False - ANSWER ✔ True
3. The branch of statistical data called inferential statistics refers to drawing
conclusions about sample data by analyzing the corresponding population.
4. True/False - ANSWER ✔ False: Draws conclusions about the population,
based on the sample data from that population
5. The two branches of the study of statistics are generally referred to as
_____________________. - ANSWER ✔ Descriptive & Inferential
6. The teachers union in California wants to know the average salary for high
school teachers throughout the country. What will the teachers union
presumably calculate?
A. sample statistic
B. Sample Parameter
C. Population Statistic
D. Population Parameter - ANSWER ✔ A
7. Which of the following is an example of cross-sectional data?
, A. GDP of the United States from 1990-2010
B. Daily price of DuPont stock during the first quarter
C. Quarterly housing starts collected over the last 60 years
D. Results of market research testing consumer preferences fro soda -
ANSWER ✔ D
8. Which of the following is an example of time series data?
A. The sales price of townhouses sold last year
B. Quarterly housing starts collected over the last 60 years
C. Results of market research testing consumer preferences for soda
D. Starting salaries of recent business graduates at Penn State University
- ANSWER ✔ B
9. putting in a dataset - ANSWER ✔ data<-
c(81,85,93,93,99,76,75,84,78,84,81,82,89,81,96,82,74,70,84,86,80,70,131,7
5,88,102,115,89,82,79,106)
10.length(data) - ANSWER ✔ tells you how may entries are in your vector
11.sort(data) - ANSWER ✔ puts data smallest to largest
12.summary(data) - ANSWER ✔ returns the five number summary and the
sample mean
13.mean(data)
sd(data)
sum(data) - ANSWER ✔ sample mean
sample standard deviation
adds all the elements of the vector
,14.seq(1,100,1)
seq(2,100,2) - ANSWER ✔ tells r to create the sequence of numbers from 1
to 100 by 1 (1,2,3...)
1:100 does the same thing
(2,4,6...100)
15.data<-read.table(file.choose(),header=TRUE)
read.cvs - ANSWER ✔ calls this dataset into r and you can name it whatever
you want
16.getwd() - ANSWER ✔ creates the current working directory and calls in
your data too
17.dim(data) - ANSWER ✔ checks dimensions of data
18.data - ANSWER ✔ type the name of the data to see it
19.data[1:5] - ANSWER ✔ calls in the first five rows of the dataset if you are
working with a large dataset
20.head(data) - ANSWER ✔ shows the first few rows
21.data[,1:2] - ANSWER ✔ all rows for columns 1 and 2
22.data[1:5,1:2] - ANSWER ✔ first five rows and first two columns
23.str(data) - ANSWER ✔ structure of the object
, 24.View(data) - ANSWER ✔ (capital V) puts your data in a viewable popup
window
25.data$shoes - ANSWER ✔ calls in the column called shoes
26.attach(data) - ANSWER ✔ attaches data so you can work with it and don't
have to keep calling it in
27.(if you attach several datasets that have the same column names r will be
confused so you have to detach before attaching again)
28.data<-subset(data,Type=="WT") - ANSWER ✔ you can pick out certain
rows/columns and you can enter more == and "" in order to be more specific
29.hist(data) - ANSWER ✔ give you a histogram
30.hist(data,breaks=c(60,70,80,90)) - ANSWER ✔ creates a sequence and
breaks them
31.xlab="percents of ..." - ANSWER ✔ x axis name
32.ylab="Frequency" - ANSWER ✔ y axis name
33.main="..." - ANSWER ✔ title of the graph
