Study your flashcards anywhere!

Download the official Cram app for free >

  • Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

How to study your flashcards.

Right/Left arrow keys: Navigate between flashcards.right arrow keyleft arrow key

Up/Down arrow keys: Flip the card between the front and back.down keyup key

H key: Show hint (3rd side).h key

A key: Read text to speech.a key

image

Play button

image

Play button

image

Progress

1/6

Click to flip

6 Cards in this Set

  • Front
  • Back

To estimate an unknown BLANK , start with a statistic that provides a BLANK guess. The chosen statistic is a BLANK for the BLANK. The specific value of the point estimator that we use gives a BLANK for the parameter.

population parameter, reasonable, point estimator, parameter, Point Estimate

confidence interval

uses sample data to estimate an unknown population parameter with an indication of how precise the estimate is and of how confident we are that the result is correct .

Any confidence interval has two parts: an BLANK and a BLANK. The interval has the form BLANK. When calculating a confidence interval, it is common to use the form BLANK.

interval computed from the data, confidence level C. estimate +- margin of error, (statistic) +-(critical value) multipled by standard deviation of statistic.

The confidence level C is:

the success rate of the method that produces the interval.

the margin of error of a confidence interval gets smaller as :

the confidence level C decreases


the sample size n increases

Before you calculate a confidence interval for a population mean or proportion, be sure to check conditions: BLANK sampling or random assignment, BLANK sampling distribution and BLANK observation. Remember the BLANK for a confidence interval includes only chance variation no other sources of error like nonresponse and undercoverage.

Random, Normal, Independent, margin of error