
Critical Evaluation of Data
Presentation
•
Mathematics
•
11th - 12th Grade
•
Easy
Geoffrey Lufanana
Used 5+ times
FREE Resource
4 Slides • 12 Questions
1
Critical Evaluation of Data
Lesson Objectives;
Identify the key problems involved in selecting a sample.
discuss how to avoid and reduce bias when sampling.
2
Problems involved in sampling
Read the google slides linked on the next slide describing some of the problems encountered in sampling, make some notes and respond to the proceeding quiz.
3

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4
The End
5
Multiple Choice
To learn about teenagers' opinions of different social media platforms, a survey was given to students of one high school. This sample is...
representative
biased
random
6
Multiple Choice
An employer wants to know how their 500 employees like working for them. Which is the most representative sample?
Ask the first 75 people to show up for work
Randomly select the names of 10 employees
Poll the Employees of the Month for the past year
Randomly select the names of 75 employees
7
Multiple Choice
Which is an example of a random sample?
Polling the first 10 people who enter a room
Asking a survey question to people who call in
Drawing 10 names from a hat
8
Multiple Choice
Why should samples be randomly selected?
for control
to reduce bias
so we don't get the same answers from everyone
9
Multiple Choice
Political webpages often allow readers to rate (if they want to) whether they strongly agree, agree, disagree, or strongly disagree with the President's decision on any given situation. This is a form of:
Self-Selected
Convenience Sampling
Simple Random Sampling
Systematic Random Sampling
10
Multiple Choice
Unbiased sampling is:
when you choose the group you think will give you the answer you want, accept volunteers or survey by convenience
when any member of the population is equally likely to be chosen for the sample
11
Multiple Choice
To determine the most popular children’s programs, a television station asks parents to call in and complete a phone survey.
Biased Sample
Unbiased Sample
12
Multiple Choice
A school randomly chose ten English teachers and asked them which type of juice their students would prefer. Which reason best shows why this sample is biased?
The sample didn't include students.
The sample is too small.
The sample can only be accurate if each teacher is included in the sample
13
Multiple Choice
The choir director in a high school wants to know how the students in the school feel about singing. If the director selects 100 girls and 100 boys to complete a survey, which method will result in a biased sample?
The students will be selected from the choir
The students will be selected randomly throughout the school
The students will be selected on Wednesday afternoon before the choir concert
The choir director will select five students from each of the forty homerooms in the school
14
Multiple Choice
A factory manufactures light bulbs. The factory currently has 300 boxes of light bulbs in its warehouse. To test the quality of bulbs, Alex decides to take out a sample of bulbs and test them to see if they work. Which surveying method will give him the least valid results?
selecting ten boxes randomly, mixing the bulbs of these boxes together and then selecting ten bulbs randomly
selecting ten boxes randomly and then selecting one bulb randomly from each box
selecting one bulb randomly from every tenth box
selecting one box randomly and then selecting all the bulbs from the box
15
Multiple Choice
In order to use samples to estimate something from the population, the sample should be _________________ the population.
exactly the same as
nothing like
representative of
larger than
16
Multiple Choice
What is sampling bias?
Bias resulting when non-probability sample is drawn.
Bias resulting from the inappropriate designation of eligibility criteria.
Bias resulting from the use of probability sampling method.
Bias resulting from over-representation or under-representation of population segments in a sample.
Critical Evaluation of Data
Lesson Objectives;
Identify the key problems involved in selecting a sample.
discuss how to avoid and reduce bias when sampling.
Show answer
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