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  2. Pregnancy test - Wikipedia

    en.wikipedia.org/wiki/Pregnancy_test

    False negative readings can occur when testing is done too early. hCG levels rise rapidly in early pregnancy and the chances of false negative test results diminish with time (increasing gestational age). [24] Less sensitive urine tests and qualitative blood tests may not detect pregnancy until three or four days after implantation. [25]

  3. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate. In statistical hypothesis testing, this fraction is given the Greek letter α, and 1 − α is defined as the specificity of the test. Increasing the specificity of the test lowers the probability of type I errors ...

  4. Fertility awareness - Wikipedia

    en.wikipedia.org/wiki/Fertility_awareness

    Two speeches delivered by Pope Pius XII in 1951 gave the highest form of recognition to the Catholic Church's approval—for couples who needed to avoid pregnancy—of these systems. [9] [13] In the early 1950s, John Billings discovered the relationship between cervical mucus and fertility while working for the Melbourne Catholic Family Welfare ...

  5. New Clearblue Advanced Digital Ovulation Test with ... - AOL

    www.aol.com/news/2013-04-09-new-clearblue...

    New Clearblue Advanced Digital Ovulation Test with Breakthrough Technology to Help Women Get Pregnant Faster Naturally New test expands the baby-making window by identifying 4 best days to get ...

  6. Clearblue - Wikipedia

    en.wikipedia.org/wiki/Clearblue

    Clearblue home pregnancy test system 1985. Clearblue was introduced in 1985 with the launch of the first Clearblue Home Pregnancy Test system, which at the time was owned by Unilever. [4] It was the world’s first “rapid home test” that gave pregnancy test results in 30 minutes and allowed a woman to take a test before going to the doctor. [4]

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    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  8. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. [1] Type I error: an innocent person may be convicted. Type II error: a guilty person may be not convicted.

  9. DNA confirms man who had passed polygraph test as suspected ...

    www.aol.com/dna-confirms-man-had-passed...

    Williamson was later asked by sheriff’s investigators to take a polygraph test. The district attorney’s office said he agreed to the test and passed, which “at the time, cleared him of any ...

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