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Essay Available:
Pages:
1 page/β‰ˆ275 words
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1 Source
Style:
APA
Subject:
Mathematics & Economics
Type:
Coursework
Language:
English (U.S.)
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MS Word
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Total cost:
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Topic:

Confidence Intervals Used Everyday

Coursework Instructions:

Hello, provided is the coursework I need help with. The questions must be included with the answer so If the paper is 200-225 words that are fine. Just burnt out from work, so not able to focus this week in the course. Attached is the PPT text from this week's lesson; please feel free to use it as it has some stuff on confidence levels, etc. Thank you in advance:
If a data sample of the standing height of U.S. males is done and shows a 95% confidence interval with a lower limit of five feet four inches tall and upper limit of 6 feet four inches tall, what is:
The range within the 95% confidence interval
The Error term
The probability of a male being 6 foot 4 inches or taller (for example, less than 5%, around 2.5% or 1% and why?
A Few refrences are included below but please use whatever source you see fit that applies, thanks again:
https://www(dot)investopedia(dot)com/terms/c/confidenceinterval.asp
https://www(dot)investopedia(dot)com/terms/e/errorterm.asp

Coursework Sample Content Preview:

Confidence Intervals
Your Name
Subject and Section
Professor’s Name
March 24, 2023
When conducting a statistical analysis, confidence intervals provide a range of values within which the actual value of a population parameter is likely to fall. For the standing height of U.S. males, a data sample has been taken, and the resulting 95% confidence interval has a lower limit of 5 feet 4 inches and an upper limit of 6 feet 4 inches.
The range within the 95% confidence interval can be determined by calculating the difference between the upper and lower limits. In this case, the range within the 95% confidence interval for the standing height of U.S. males is 12 inches or 1 foot. This means we can be 95% confident that the actual population means the height of U.S. males falls within this range.
The error term is another essential statistical concept representing the degree of error that may occur due to random chance or sampling variation. It can be calculated using the formula: (Upper limit - Lower limit) ...
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