Help
Options
Didn't know it?
click below
click below
Knew it?
click below
click below
Don't Know
Remaining cards (0)
Know
retry
shuffle
restart
0:00
Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.
Normal Size Small Size show me how
Normal Size Small Size show me how
Stats Chapter 6
vocab
| Question | Answer |
|---|---|
| standardizing | standardize to eliminate units; standardized values can be compared and combined even if the original variables have different units and magnitudes |
| standardized value | a value found by subtracting the mean and dividing by the standard deviation |
| shifting | adding a constant to each data value adds the same constant to the mean, the median, and the quartiles, but does not change the standard deviation or IQR |
| rescaling | multiplying each data value by a constant multiplies both the measures of position (mean, median, and quartiles) and the measures of spread (standard deviation and IQR) by that constant |
| normal model | family of models for unimodal, symmetric distributions |
| parameter | a numerically valued attribute of a model |
| statistic | a value calculated from data to summarize aspects of the data; mean, ybar, standard deviation are all statistics |
| z-score | tells how many standard deviations a value is from the mean; have a mean of 0 and a standard deviation of 1 |
| standard normal model | normal model N(mean, sx) |
| nearly normal condition | a distribution is nearly normal if it is unimodal and symmetric |
| 68-95-99.7 rule | in a normal model, 68% of the values fall within 1 SX, 95% within 2SX, and 99.7% within 3SX of the mean |
| normal percentile | corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below |
| normal probability plot | helps assess whether a distribution of a data is approximately normal if the plot is nearly straight |
Created by:
697421973
Popular Math sets