Education levels: The following frequency distribution categorizes US. adults aged 18 and over by educational attainment in a recent year.
- Construct a frequency bar graph.
- Construct a relative frequency distribution.
- Construct a relative frequency bar graph.
- Construct a frequency distribution with the following categories: 8 years or less, 9—11 years, High school graduate, Some college but no degree: College degree (Associate’s or Bachelor’s): Graduate degree Master’s, Professional, or Doctoral).
- Construct a pie chart for the frequency distribution in part (d).
- What proportion of people did not graduate from high school?
a.
To construct: A frequency bar graph.
Explanation of Solution
Given information: The following frequency distribution categorises U.S. adults aged 18 and over by educational attainment in a recent year.
Educational attainment | Frequency(in thousands) |
None | 834 |
1-4 years | 1764 |
5-6 years | 3618 |
7-8 years | 4575 |
9 years | 4068 |
10 years | 4814 |
11 years | 11429 |
High school graduate | 70441 |
Some college but no degree | 45685 |
Associates degree (Occupational) | 9380 |
Associates degree (Academic) | 12100 |
Bachelor’s degree | 43277 |
Master’s degree | 16625 |
Professional degree | 3099 |
Doctoral degree | 3191 |
Solution:
From the given table, the frequency bar graph is given by
b.
To construct: The relative frequency distribution.
Explanation of Solution
Given information:The following frequency distribution categorises U.S. adults aged 18 and over by educational attainment in a recent year.
Educational attainment | Frequency(in thousands) |
None | 834 |
1-4 years | 1764 |
5-6 years | 3618 |
7-8 years | 4575 |
9 years | 4068 |
10 years | 4814 |
11 years | 11429 |
High school graduate | 70441 |
Some college but no degree | 45685 |
Associates degree (Occupational) | 9380 |
Associates degree (Academic) | 12100 |
Bachelor’s degree | 43277 |
Master’s degree | 16625 |
Professional degree | 3099 |
Doctoral degree | 3191 |
Formula used:
Calculation:
From the given table,
The sum of all frequency is
The table of relative frequency is given by
Educational attainment | Frequency(in thousands) | Relative frequency |
None | 834 | |
1-4 years | 1764 | |
5-6 years | 3618 | |
7-8 years | 4575 | |
9 years | 4068 | |
10 years | 4814 | |
11 years | 11429 | |
High school graduate | 70441 | |
Some college but no degree | 45685 | |
Associates degree (Occupational) | 9380 | |
Associates degree (Academic) | 12100 | |
Bachelor’s degree | 43277 | |
Master’s degree | 16625 | |
Professional degree | 3099 | |
Doctoral degree | 3191 |
c.
To construct: A relative frequency bar graph.
Explanation of Solution
Given information:The following frequency distribution categorises U.S. adults aged 18 and over by educational attainment in a recent year.
Educational attainment | Frequency(in thousands) |
None | 834 |
1-4 years | 1764 |
5-6 years | 3618 |
7-8 years | 4575 |
9 years | 4068 |
10 years | 4814 |
11 years | 11429 |
High school graduate | 70441 |
Some college but no degree | 45685 |
Associates degree (Occupational) | 9380 |
Associates degree (Academic) | 12100 |
Bachelor’s degree | 43277 |
Master’s degree | 16625 |
Professional degree | 3099 |
Doctoral degree | 3191 |
Definition used:
Histogram based on relative frequency is called relative frequency histogram.
Solution:
The following table gives the relative frequency.
Educational attainment | Relative frequency |
None | 0.0036 |
1-4 years | 0.0075 |
5-6 years | 0.0154 |
7-8 years | 0.0195 |
9 years | 0.0173 |
10 years | 0.0205 |
11 years | 0.0487 |
High school graduate | 0.2999 |
Some college but no degree | 0.1945 |
Associates degree (Occupational) | 0.0399 |
Associates degree (Academic) | 0.0515 |
Bachelor’s degree | 0.184 |
Master’s degree | 0.0708 |
Professional degree | 0.0132 |
Doctoral degree | 0.0136 |
From the above table, the relative frequency bar graph is given by
d.
To construct: A frequency distribution with the following categories: 8 years or less, 9-11 years, High school graduate, Some college but no degree, College degree (Associate’s or Bachelor’s), Graduate degree (Master’s, professional, or Doctoral)
Answer to Problem 28E
Educational attainment | Frequency(in thousands) |
8 years or less | 10791 |
9-11 years | 20311 |
High school graduate | 70441 |
Some college but no degree | 45685 |
College degree (Associate’s or Bachelor’s) | 64757 |
Graduate degree (Master’s, professional, or Doctoral) | 22915 |
Explanation of Solution
Given information:The following frequency distribution categorises U.S. adults aged 18 and over by educational attainment in a recent year.
Educational attainment | Frequency(in thousands) |
None | 834 |
1-4 years | 1764 |
5-6 years | 3618 |
7-8 years | 4575 |
9 years | 4068 |
10 years | 4814 |
11 years | 11429 |
High school graduate | 70441 |
Some college but no degree | 45685 |
Associates degree (Occupational) | 9380 |
Associates degree (Academic) | 12100 |
Bachelor’s degree | 43277 |
Master’s degree | 16625 |
Professional degree | 3099 |
Doctoral degree | 3191 |
Solution:
The required frequency distribution with the given categories is given by
Educational attainment | Frequency(in thousands) |
8 years or less | |
9-11 years | |
High school graduate | 70441 |
Some college but no degree | 45685 |
College degree (Associate’s or Bachelor’s) | |
Graduate degree (Master’s, professional, or Doctoral) |
e.
To construct: A pie chart
Explanation of Solution
Given information: The following frequency distribution categorises U.S. adults aged 18 and over by educational attainment in a recent year.
Educational attainment | Frequency(in thousands) |
8 years or less | 10791 |
9-11 years | 20311 |
High school graduate | 70441 |
Some college but no degree | 45685 |
College degree (Associate’s or Bachelor’s) | 64757 |
Graduate degree (Master’s, professional, or Doctoral) | 22915 |
Solution:
From the given table, the percentage of each gender and age group is given by
Educational attainment | Frequency(in thousands) | Relative frequency | Percentage |
8 years or less | 10791 | 0.0459 | 4.59 % |
9-11 years | 10311 | 0.086 | 8.6% |
High school graduate | 70441 | 0.299 | 29.9% |
Some college but no degree | 45685 | 0.1945 | 19.45% |
College degree (Associate’s or Bachelor’s) | 64757 | 0.2757 | 27.57% |
Graduate degree (Master’s, professional, or Doctoral) | 22915 | 0.0975 | 9.75% |
From the above table, the pie chart is given by
f.
To find: The proportion of people did not graduate from high school.
Answer to Problem 28E
The proportion of people did not graduate from high school is 0.132.
Explanation of Solution
Given information:The following frequency distribution categorises U.S. adults aged 18 and over by educational attainment in a recent year.
Educational attainment | Frequency(in thousands) |
8 years or less | 10791 |
9-11 years | 20311 |
High school graduate | 70441 |
Some college but no degree | 45685 |
College degree (Associate’s or Bachelor’s) | 64757 |
Graduate degree (Master’s, professional, or Doctoral) | 22915 |
Solution:
From the given table, the percentage of each gender and age group is given by
Educational attainment | Frequency(in thousands) | Relative frequency |
8 years or less | 10791 | 0.0459 |
9-11 years | 20311 | 0.086 |
High school graduate | 70441 | 0.299 |
Some college but no degree | 45685 | 0.1945 |
College degree (Associate’s or Bachelor’s) | 64757 | 0.2757 |
Graduate degree (Master’s, professional, or Doctoral) | 22915 | 0.0975 |
The people did not graduate from high school are people whose educations are 8 years or less and 9-11 years.
The proportion of people did not graduate from high school is
Hence, the proportion of people did not graduate from high school is 0.132.
Want to see more full solutions like this?
Chapter 2 Solutions
Connect Hosted by ALEKS Access Card or Elementary Statistics
- 3 (Sharpe-ratio) Suppose that X1, X2,..., is a lognormal geometric random walk with parameters (μ, o²). Specifically, suppose that X = Xo exp(rı + ...Tk), where Xo is a fixed constant and r1, T2, ... are IID N(μ, o²). Find the Sharpe-ratios of rk and log(Xk) — log(Xo) respectively, assuming the risk free return is 0.arrow_forwardi need help with question 2arrow_forward4 (Value-at-Risk and Expected Shortfall) Suppose X Find VaR0.02(X) and ES0.02 (X). ~ Uniform(-1, 1).arrow_forward
- 亚 ח Variables Name avgdr employ educ exerany Label AVG ALCOHOLIC DRINKS PER DAY IN PAST 30 EMPLOYMENT STATUS EDUCATION LEVEL EXERCISE IN PAST 30 DAYSarrow_forwardVariables Name wage hours IQ KWW educ exper tenure age married black south urban sibs brthord meduc feduc Label monthly earnings average weekly hours IQ score knowledge of world work score years of education years of work experience years with current employer age in years =1 if married =1 if black =1 if live in south =1 if live in SMSA number of siblings birth order mother's education father's educationarrow_forwardInformation for questions 4 • • Please Download "wages" from Canvas (the link to this dataset is right below the HWA1 questions - it is a Microsoft excel worksheet) and store it in your favorite folder. It contains 797 observations and 16 variables. The "state" variable gives the names of the states involved in this dataset. • You need to have excel on your computer to open this dataset. i. You should use File > Import > Excel Spreadsheet etc. as done in class 3 convert this file into a Stata dataset. Once you are done, write the final STATA code that makes the transformation of an excel file to a STATA file possible. ii. Write a code that will close the log file that has been open since Question 1 part ii.arrow_forward
- The mean, variance, skewness and kurtosis of a dataset are given as - Mean = 15, Variance = 20, SKewness = 1.5 and Kurtosis = 3.5 calculate the first four raw moments. (Note- Please include as much detailed solution/steps in the solution to understand, Thank you!)arrow_forwardWrite codes to perform the functions in each of these cases i. ii. Apply cd command to tell STATA the filepath associated with your "favorite folder" (use the same name for the favorite folder that we have been using in class) Apply log using command to tell stata that you are creating a log file to record the codes and the outcomes of these codes. Make sure your log file is called loghwa1_W25.smcl. Do not forget to include the replace option. iii. Get help for the "regress" command & include a screenshot of the outcome of this code iv. V. Open a stata file stored in STATA memory called pop2000.dta Continue from question iv. Save this file in your favorite folder (current working directory) using a different name & a replace optionarrow_forwardAre there any unusually high or low pH levels in this sample of wells?arrow_forward
- 0 n AM RIES s of of 10 m Frequency 40 Frequency 20 20 30 10 You make two histograms from two different data sets (see the following figures), each one containing 200 observations. Which of the histograms has a smaller spread: the first or the second? 40 30 20 10 0 20 40 60 0 20 20 40 60 60 80 80 100 80 100arrow_forwardTIP the aren't, the data are not sym 11 Suppose that the average salary at a certain company is $100,000, and the median salary is $40,000. a. What do these figures tell you about the shape of the histogram of salaries at this company? b. Which measure of center is more appro- priate here? c. Suppose that the company goes through a salary negotiation. How can people on each side use these summary statistics to their advantage? 6360 be 52 PART 1 Getting Off to a Statistically Significant Sarrow_forward12 Suppose that you know that a data set is skewed left, and you know that the two measures of center are 19 and 38. Which figure is the mean and which is the median?arrow_forward
- Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGALGlencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt