Age, Biography and Wiki

Phillip Good was born on 1937 in United States, is a Canadian-American mathematical statistician. Discover Phillip Good's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 87 years old?

Popular As N/A
Occupation N/A
Age 87 years old
Zodiac Sign
Born 1937, 1937
Birthday 1937
Birthplace N/A
Nationality United States

We recommend you to check the complete list of Famous People born on 1937. He is a member of famous with the age 87 years old group.

Phillip Good Height, Weight & Measurements

At 87 years old, Phillip Good height not available right now. We will update Phillip Good's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
Height Not Available
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Dating & Relationship status

He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.

Family
Parents Not Available
Wife Not Available
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Children Not Available

Phillip Good Net Worth

His net worth has been growing significantly in 2023-2024. So, how much is Phillip Good worth at the age of 87 years old? Phillip Good’s income source is mostly from being a successful . He is from United States. We have estimated Phillip Good's net worth, money, salary, income, and assets.

Net Worth in 2024 $1 Million - $5 Million
Salary in 2024 Under Review
Net Worth in 2023 Pending
Salary in 2023 Under Review
House Not Available
Cars Not Available
Source of Income

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Timeline

1937

Phillip I. Good (born in 1937) is a Canadian-American mathematical statistician.

He was educated at McGill University and the University of California at Berkeley.

1975

He was among the first to apply the bootstrap in his 1975 analyses of 2×2 designs with a missing cell.

His chief contributions to statistics are in the area of small sample statistics, including a uniformly most powerful unbiased (UMPU) permutation test for Type I censored data, an exact test for comparing variances, and an exact test for cross-over designs.