Analysis of Unemployment Rate in the US

 
Random Sampling
Random Sampling
using Ranint
using Ranint
 
 
Random Sampling using Ranint for
Random Sampling using Ranint for
an interval [1,200]
an interval [1,200]
 
Ranint
 
is in Red
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
 We want our
interval  to be
[1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
 The comma is here
in yellow
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
 The comma is here
in yellow
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
 The bracket is here
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
 To keep generating
a random 3 digit
number between
[1,200]
 we repeatedly
press
 
=
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
Random Sampling using Ranint for an interval [1,200]
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A statistical analysis was conducted on the unemployment rate in the US based on a sample of 1430 Americans. The findings suggest a decrease in the proportion of Americans unemployed compared to last year, supported by hypothesis testing and confidence interval calculations. The significance level and confidence level were assessed, leading to insights on statistical significance and the potential for Type I and Type II errors in drawing conclusions on the unemployment rate.

  • Unemployment
  • Statistical analysis
  • Hypothesis testing
  • Confidence interval
  • Type I error

Uploaded on Feb 28, 2025 | 0 Views


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Presentation Transcript


  1. Random Sampling using Ranint

  2. Random Sampling using Ranint for an interval [1,200]

  3. Random Sampling using Ranint for an interval [1,200] Ranint is in Red

  4. Random Sampling using Ranint for an interval [1,200]

  5. Random Sampling using Ranint for an interval [1,200] We want our interval to be [1,200]

  6. Random Sampling using Ranint for an interval [1,200] The comma is here in yellow

  7. Random Sampling using Ranint for an interval [1,200] The comma is here in yellow

  8. Random Sampling using Ranint for an interval [1,200]

  9. Random Sampling using Ranint for an interval [1,200]

  10. Random Sampling using Ranint for an interval [1,200]

  11. Random Sampling using Ranint for an interval [1,200] The bracket is here

  12. Random Sampling using Ranint for an interval [1,200] To keep generating a random 3 digit number between [1,200] we repeatedly press =

  13. Random Sampling using Ranint for an interval [1,200]

  14. Random Sampling using Ranint for an interval [1,200]

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