Skew Lines | Definition, Conditions & Distance
3:41
Study.com
Skew Lines | Definition, Conditions & Distance
Understand skew lines with diagrams and examples. Find the distance between skew lines. Learn how to check whether two lines are skew or not.
78K viewsJan 4, 2016
Skew Deviation Test
[General practice] การหมุนหัว HINT test ใน Acute vertigo VS CT/MRI brain ..... มันช่วยได้เยอะจริงๆ Acute vertigo ถ้ามี neurodeficit , Finger-to-Nose , Dysdiaochokinesia , Truncal ataxia สงสัย central/stroke นะครับ ไม่ต้องมาตรวจตรงนี้ให้มากความ ...... Non-contrast CT sensitive ในการ diagnosis acute vertigo อยู่ที่ 38%, MRI จะอยู่ที่ 80-93% Acute vertigo pure (spinning,n/v) ถ้าไม่แน่ใจ Test นี้ช่วยได้ดีเลยครับ HINT test sensitivity/specificity ในการแยก acute stroke จาก peripheral vertigo อยู่ที่ 9
0:14
[General practice] การหมุนหัว HINT test ใน Acute vertigo VS CT/MRI brain ..... มันช่วยได้เยอะจริงๆ Acute vertigo ถ้ามี neurodeficit , Finger-to-Nose , Dysdiaochokinesia , Truncal ataxia สงสัย central/stroke นะครับ ไม่ต้องมาตรวจตรงนี้ให้มากความ ...... Non-contrast CT sensitive ในการ diagnosis acute vertigo อยู่ที่ 38%, MRI จะอยู่ที่ 80-93% Acute vertigo pure (spinning,n/v) ถ้าไม่แน่ใจ Test นี้ช่วยได้ดีเลยครับ HINT test sensitivity/specificity ในการแยก acute stroke จาก peripheral vertigo อยู่ที่ 9
FacebookNeurologist P
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Chit Happens 🤷‍♀️ | Mansi Chitgopekar on Instagram: "Descriptive statistics are ways to summarize and describe the main features of a dataset. They don’t test hypotheses or make predictions — they just tell you what’s going on in your data. Think of it as the “summary report” of your data before you do any advanced analysis. 📊 Types of Descriptive Statistics 1. Measures of Central Tendency (the “average” values) These show where most of your data lies. Mean – the arithmetic average 👉 Example:
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Chit Happens 🤷‍♀️ | Mansi Chitgopekar on Instagram: "Descriptive statistics are ways to summarize and describe the main features of a dataset. They don’t test hypotheses or make predictions — they just tell you what’s going on in your data. Think of it as the “summary report” of your data before you do any advanced analysis. 📊 Types of Descriptive Statistics 1. Measures of Central Tendency (the “average” values) These show where most of your data lies. Mean – the arithmetic average 👉 Example:
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