A brief explanation of how the article uses descriiptive statistics to communicate information, conclusions, or solutions found in the study.

This week you’ll get a headstart on your Week 9 Assignment – Data Analysis and Visualization by searching for and summarizing a newspaper article that highlights a real-world problem that could be solved through statistical data.
To successfully complete your discussion post, include the following:
The title of the article, the date it was published, and a link to the article.
A bullet-pointed summary of the purpose of the article and the problem it is trying to solve.
A brief explanation of how the article uses descriiptive statistics to communicate information, conclusions, or solutions found in the study.
Be sure to respond to at least one of your classmates’ posts.
INSTRUCTIONS:
Note: The instructions for this discussion are the same as Step 1 in your Week 9 Assignment.
To begin, visit one of the following newspapers’ websites: USA Today, New York Times, Wall Street Journal, or Washington Post. Select an article that uses statistical data related to a current event, your major, your current field, or a future career goal. The chosen article must have a publication date during this quarter.
Example topics may include:
Elections/exit polls
Award shows (Oscars/Emmys/Grammys)
Sports
Economy/job market
Gender equality
The article should use one or more of the following categories of descriiptive statistics:
Measures of Frequency – Counting Rules, Percent, Frequency, Frequency Distributions
Measures of Central Tendency – Mean, Median, Mode
Measures of Dispersion or Variation – Range, Variance, Standard Deviation
Measures of Position – Percentile, Quartiles
Note: Once you navigate to a publication’s website, it may be easiest to do a search with a statistics-related word (ex: standard deviation).
EXAMPLES:
Explore below for examples of how the different statistical categories above were used in recent newspaper articles:
Example 1: Statistical Category: Measures of Frequency – Counting Rules, Percent, Frequency, Frequency Distributions.
Title: Weekly Mortgage Refinance Applications Spike 15% as Interest Rates Plunge to Lowest in Nearly 4 Years (February 5th, 2020).
Statistical Data: The percentages in the quote below are measures of frequency.
“The average contract interest rate for 30-year fixed-rate mortgages with conforming loan balances (\$510,400 or less) decreased to 3.71% from 3.81%, with points remaining unchanged at 0.28 (including the origination fee) for loans with a 20% down payment.”
Example 2: Statistical Category: Measures of Central Tendency – Mean, Median, Mode.
Title: Here’s the Average American’s Credit Card Debt – And How Much It Costs Them (February 23rd, 2020).
Statistical Data: “The average American has \$6,194 in credit card debt at an average interest rate of 16.88%.”
Example 3: Statistical Category: Measures of Dispersion or Variation – Range, Variance, Standard Deviation.
Title: Franchises that Work Out: Many of the Hottest US Businesses to Franchise Involve Fitness (February 17th, 2020).
Statistical Data: This is an example of measures of dispersion because it shares a range: “Estimated franchise startup cost: \$2,000 – \$20,000.”
Example 4: Statistical Category: Measures of Position – Percentile, Quartiles.
Title: The 4 Main Grad School Admissions Exams, in a Nutshell (March 30th, 2017).
Statistical Data:
“Score range: Between 130 to 170 for Verbal Reasoning, with 150 being the 50th percentile; between 130 to 170 for Quantitative Reasoning, with 152 being the 50th percentile; and between 0 to 6 for Analytical Writing, with 3.5 being the 50th percentile.”
Click here to view an example of what your post this week should look like

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