I'm trying create table with sql and it's not working.       CREATE TABLE STATS( US_COVID_DEATHS VARCHAR(50) AGE DOUBLE, GENDER DOUBLE,  RATIO DOUBLE);

Operations Research : Applications and Algorithms
4th Edition
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Wayne L. Winston
Chapter11: Nonlinear Programming
Section11.2: Introductory Concepts
Problem 11P
icon
Related questions
icon
Concept explainers
Question
I'm trying create table with sql and it's not working.
 
 
 
CREATE TABLE STATS(
US_COVID_DEATHS VARCHAR(50)
AGE DOUBLE,
GENDER DOUBLE, 
RATIO DOUBLE);


This gender gap can be seen more clearly in the ratio of the death rates of men and women within age brackets:

### U.S. COVID-19 Deaths by Age and Gender: Ratios

The bar graph presents the ratio of COVID-19 death rates between males and females across various age brackets. The x-axis represents the age brackets categorized as Under 44 years, 45-54 years, 55-64 years, 65-74 years, 75-84 years, and 85+ years. The y-axis shows the ratio values, ranging from 0 to 3.

Two sets of bars are displayed for each age bracket:

- **Gray Bars (Female:Female):** Representing a baseline ratio of female death rates, essentially set at 1 for all age groups, indicating no comparison needed as it's within females only.

- **Blue Bars (Male:Female):** Showing the ratio of male death rates compared to female death rates for each age bracket. Each age group shows a higher ratio for males compared to females, indicating a greater number of deaths among males.

#### Age-Bracket-Specific Insights:
- **Under 44 years:** The ratio of male to female deaths is approximately 2.
- **45-54 years:** The ratio peaks at approximately 2.5.
- **55-64 years:** The ratio is around 2.
- **65-74 years:** The ratio remains around 2.
- **75-84 years:** The ratio is slightly higher than 1.5.
- **85+ years:** The ratio approaches 1.5.

### Source:
- **Data Source:** CDC NCHS
- **Access Date:** 05/11/20
- **Time Period Covered:** 02/01/2020 to 05/02/2020

This indicates that men have experienced higher COVID-19 death rates compared to women across all age groups, with the most significant gender gap observed in the 45-54 age bracket. 

Overall, the visual representation underscores the importance of considering gender disparities in COVID-19 mortality to develop targeted interventions and support measures.
Transcribed Image Text:This gender gap can be seen more clearly in the ratio of the death rates of men and women within age brackets: ### U.S. COVID-19 Deaths by Age and Gender: Ratios The bar graph presents the ratio of COVID-19 death rates between males and females across various age brackets. The x-axis represents the age brackets categorized as Under 44 years, 45-54 years, 55-64 years, 65-74 years, 75-84 years, and 85+ years. The y-axis shows the ratio values, ranging from 0 to 3. Two sets of bars are displayed for each age bracket: - **Gray Bars (Female:Female):** Representing a baseline ratio of female death rates, essentially set at 1 for all age groups, indicating no comparison needed as it's within females only. - **Blue Bars (Male:Female):** Showing the ratio of male death rates compared to female death rates for each age bracket. Each age group shows a higher ratio for males compared to females, indicating a greater number of deaths among males. #### Age-Bracket-Specific Insights: - **Under 44 years:** The ratio of male to female deaths is approximately 2. - **45-54 years:** The ratio peaks at approximately 2.5. - **55-64 years:** The ratio is around 2. - **65-74 years:** The ratio remains around 2. - **75-84 years:** The ratio is slightly higher than 1.5. - **85+ years:** The ratio approaches 1.5. ### Source: - **Data Source:** CDC NCHS - **Access Date:** 05/11/20 - **Time Period Covered:** 02/01/2020 to 05/02/2020 This indicates that men have experienced higher COVID-19 death rates compared to women across all age groups, with the most significant gender gap observed in the 45-54 age bracket. Overall, the visual representation underscores the importance of considering gender disparities in COVID-19 mortality to develop targeted interventions and support measures.
Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer
Follow-up Questions
Read through expert solutions to related follow-up questions below.
Follow-up Question
I'm trying to figure out why it's still not working.
 
CREATE TABLE STATS(
Deaths_per_100000 INTEGER(50),
AGE INTEGER(20),
GENDER VARCHAR(10), 
RATIO DOUBLE);

INSERT INTO STATS VALUES (100000, 'Under 44 Years', 'Female', 1)
 
 
Solution
Bartleby Expert
SEE SOLUTION
Knowledge Booster
Query Syntax
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Operations Research : Applications and Algorithms
Operations Research : Applications and Algorithms
Computer Science
ISBN:
9780534380588
Author:
Wayne L. Winston
Publisher:
Brooks Cole
C++ for Engineers and Scientists
C++ for Engineers and Scientists
Computer Science
ISBN:
9781133187844
Author:
Bronson, Gary J.
Publisher:
Course Technology Ptr
Np Ms Office 365/Excel 2016 I Ntermed
Np Ms Office 365/Excel 2016 I Ntermed
Computer Science
ISBN:
9781337508841
Author:
Carey
Publisher:
Cengage