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  2. Daily mortgage rates for May 1, 2024: Rates stable as Fed ...

    www.aol.com/finance/daily-mortgage-rates-for-may...

    At the conclusion of its rate-setting policy meeting on March 20, 2024, the Fed left the federal funds target interest rate of 5.25% to 5.50% unchanged, marking the fifth consecutive time it’s ...

  3. 25-pair color code - Wikipedia

    en.wikipedia.org/wiki/25-pair_color_code

    25-pair telco cable pinout. A common application of the 25-pair color code is the cabling for the Registered Jack interface RJ21, which uses a female 50-pin miniature ribbon connector, as shown in the following table. The geometry of the pins of the receptacle (right hand image) corresponds to the pin numbers of the table.

  4. Subsidy Scorecards: University of Florida - The Huffington Post

    projects.huffingtonpost.com/projects/ncaa/...

    Less than 25% subsidized. 26 to 50%. 51 to 75%. More than 76% subsidized. SOURCE: Integrated Postsecondary Education Data System, University of Florida ...

  5. Zero-coupon bond - Wikipedia

    en.wikipedia.org/wiki/Zero-coupon_bond

    t. e. A zero-coupon bond (also discount bond or deep discount bond) is a bond in which the face value is repaid at the time of maturity. [1] Unlike regular bonds, it does not make periodic interest payments or have so-called coupons, hence the term zero-coupon bond. When the bond reaches maturity, its investor receives its par (or face) value.

  6. Forest cover by state in India - Wikipedia

    en.wikipedia.org/wiki/Forest_cover_by_state_in_India

    Forest cover is the total geographical area declared as forest by the government. As of 2021, the total forest cover in India is 80.9 million hectares, which is 21.71 per cent of the total geographical area. [2] There is a 1,540 sq.km increase in forest cover over 2019. Madhya Pradesh has the highest forest cover by area followed by Arunachal ...

  7. Bayes' theorem - Wikipedia

    en.wikipedia.org/wiki/Bayes'_theorem

    Bayes' theorem is named after the Reverend Thomas Bayes ( / beɪz / ), also a statistician and philosopher. Bayes used conditional probability to provide an algorithm (his Proposition 9) that uses evidence to calculate limits on an unknown parameter. His work was published in 1763 as An Essay towards solving a Problem in the Doctrine of Chances.