AP Stat Vocabulary Quiz Chapter 5 and 6

A value found by subtracting the mean and dividing by the standard deviation.

• Standardized Value
• Statistic
• Rescale
• Normal Probability Plot

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CCSS.HSS.ID.A.4

 type of standard score that tells us how many standard deviation units a given score is above or below the mean for that group

• Normal Percentile
• z-score
• Shifting
• Parameter

Adding a constant to each data value adds the same constant to the measure of position (mean, median, and quartiles), but does not change the measures of spread (standard deviation or IQR)

• Rescale
• Normal Model
• 68-95-99.7 Rule
• Shifting

In a normal model about 68% of the data fall within 1 standard deviation of the mean, about 95% fall within 2 standard deviations of the mean, and about 99.7% falls with 3 standard deviations of the mean.

• Nearly Normal Condition
• 68-95-99.7 Rule
• Normality Assumption
• z-score

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CCSS.HSS.ID.A.4

a normal model with a mean of 0 and a standard deviation of 1

• Normal Probability Plot
• Statistic
• Standard Normal Model
• Standardized Value

a display to help assess whether a distribution of data is approximately normal; if it is nearly straight, the data satisfy the nearly normal condition

• normal probability plot
• parameter
• standardizing
• shifting

multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant

• rescaling
• standardizing
• shifting
• changing center and spread

this corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below

• normal percentile
• standardizing
• rescaling
• parameter

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CCSS.HSS.ID.A.4

N(µ,σ) with mean µ=0 and standard deviation σ=1. Also called the standard Normal distribution.

• standard normal model
• changing center and spread
• parameter
• z-score

y=b₀ + b₁x, b₀ is the y intercept and b₁ is the slope.

• Linear Model
• Exponential Model
• Log Model
• Square Root Model

Tags

CCSS.HSS.ID.B.6A