• 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

1/21

Click to flip

21 Cards in this Set

  • Front
  • Back
As part of a class project, a college student wanted to estimate the proportion of students at his college that owned a red car. To estimate this proportion he went to a large student parking lot during the middle of a class day. He found that 325 out of 1037 cars (31%) were red. This sample is best described as a ________________________.
convenience sample
A political scientist wants to know how college students feel about the social security system. She obtains a list of the 3140 undergraduates at her college and mails a questionnaire to 300 students selected at random. Only 108 of the questionnaires are returned. This sample is best described as a _______________________.
volunteer response sample (double check to make sure this is correct, its from WA #2
______________controls for effect of lurking variables?
randomization
Based on a sampling distribution, we can construct ____________ or do __________ for the parameter
Confidence Interval or do Hypothesis Testing
When we look at a statistic from a simple random sample, we find that statistic has a predictable pattern called the ________________.
sampling distribution
what happens if the sample size increases?
true mean (population proportion) of the sampling distribution will not change, standard deviation will decrease (miranda's notes page 5)
what are the properties of a normal distribution?
- symmetric
-bell shaped
- center determined by mean
-spread determined by standard deviation
For any bell shaped curve approximately __% of the values fall within 1 standard deviation of the mean in either direction
68%
For any bell shaped curve approximately __% of the values fall within 2 standard deviation of the mean in either direction
95%
For any bell shaped curve approximately __% of the values fall within 3 standard deviation of the mean in either direction
99.7%
There are 3 rows of seats in a class room, 10 seats in each row. I want to know if the students can see the blackboard clearly. I select the 10th, 20th, and 30th students. What type of sampling procedure is this?
Systematic Sample (select every k-th individual from the sampling frame)
What is the difference between a histogram and a bar graph?
In a bar graph each bar represents how many items are in a category, in a histogram each bar represents how man items are in a range of values
In a pie chart, each slice of the pie corresponds to a specific ___________. Pie charts are used to make graphs of ___________ variables.
In a pie chart, each slice of the pie corresponds to a specific CATEGORY. Pie charts are used to make graphs of CATEGORICAL VARIABLES
In a pie chart, each slice of the pie corresponds to a specific ___________. Pie charts are used to make graphs of ___________ variables.
In a pie chart, each slice of the pie corresponds to a specific CATEGORY. Pie charts are used to make graphs of CATEGORICAL VARIABLES
Any data that exists outside the region of [ Q1 - (1.5x IQR) ] to [ Q3+(1.5*IQR) ] is ____________________.
an outlier!
What is the difference between a stem and leaf plot and a histogram?
Every individual data value is shown in a stem-and-leaf plot but NOT every data value is shown in a histogram
The mean is sensitive to _____________________, the median is not!
outliers
Outliers with large values __________the mean, while outliers with small values ____________ the mean.
Outliers with large values increase the mean, while outliers with small values decrease the mean.
what is the purpose of knowing the range?
how spread out the extreme values are

(the distance between the max and min values)
A ______________ is always symmetric.
A normal distribution is always symmetric.
The standard normal distribution is always centered at _______.
The standard normal distribution is always centered at zero.