Chapter 5 Vocabulary

It's a probability distribution for a continuous variable.

• Continuous Probability Distribution
• The Central Limit Theorem
• Standard Error of the Mean
• Sampling Distribution

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

Is a continuous probability distribution for a random variable x

• Normal Distribution
• Standard Normal Distribution
• Continuous Probability Distribution
• Sampling Distribution of Sample Means

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

The graph of a normal distribution

• Normal Curve
• Continuity Correction
• The Central Limit Theorem
• Standard Error of the Mean

Tags

CCSS.HSS.ID.A.4

Is a normal distribution with a mean of 0 and a standard deviation of 1

• Standard Normal Distribution
• Standard Error of the Mean
• Normal Distribution
• Sampling Distribution of Sample Means

Tags

CCSS.6.SP.A.3

The probability distribution of a sample statistic that is formed when samples of size n are repeatedly taken from a population

• Sampling Distribution
• The Central Limit Theorem
• Sampling Distribution of Sample Means
• Continuity Correction

When the sample statistic is the sample mean

• Sampling Distribution of Sample Means
• Normal Approximation to a Binomial Distribution
• Sampling Distribution
• Continuous Probability Distribution

The standard deviation of a the sampling distribution of the sample mean

• Standard Error of the Mean
• Normal Approximation to a Binomial Distribution
• Continuous Probability Distribution
• The Central Limit Theorem

Describes the relationship between the sample distribution of sample means and the population the samples are taken from

• The Central Limit Theorem
• Normal Curve
• Continuity Correction
• Sampling Distribution of Sample Means

Central limit theorem is used to find this. Used when using the binomial distribution is not practical.Works when N is much larger than P

• Normal Approximation to a Binomial Distribution
• Continuous Probability Distribution
• Normal Curve
• Normal Distribution

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

When using continuous normal distribution to approximate a binomial probability, you need to move .5 to the left and right of the midpoint to include all possible values of X in this interval

• Continuity Correction
• Standard Error of the Mean
• Normal Approximation to a Binomial Distribution
• Normal Distribution