
Using Samples to Make Predictions
Presentation
•
Mathematics
•
7th Grade
•
Medium
+2
Standards-aligned
7th grade
Used 141+ times
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3 Slides • 5 Questions
1
Using Samples to Make Predictions
2
Samples
Biased vs. Unbiased
Biased: A non-probability sample is selected based on non-random criteria. For instance, in a convenience sample, participants are selected based on accessibility and availability
Unbiased: Everyone in the population has an equal chance of being selected and represented.
3
Multiple Choice
A real estate agent surveys people about their housing preferences at an open house for a luxury townhouse.
Biased Sample
Unbiased Sample
4
Multiple Choice
To evaluate the defect rate of its memory chips, an integrated circuit manufacturer tests every 100th chip off the production line.
Biased Sample
Unbiased Sample
5
We can use data from an unbiased sample to make predictions about the population
Example: If 70 out 100 people on 5th avenue like coconut flavored ice cream, how many people in the community (200,000) do you predict like coconut flavored ice cream.
6
Multiple Choice
Mr. Roy surveyed 60 students to find out their favorite day of the school week. If there are 550 students in the school, predict how many enjoy Fanny Pack Friday the most.
283 and 1/3 of a student
34
283
340
7
Multiple Choice
Jenny randomly selects 20 boxes of crayons from the shelf and finds two boxes with at least one broken crayon. If the shelf holds 130 boxes, how many would you expect to have at least one broken crayon?
10 boxes
13 boxes
6.5 boxes
2 boxes
8
Multiple Choice
Timothy School District surveyed a random sample of 60 middle school students about the amount of time they watch TV. Of the students surveyed, 14 average watching more than 4 hours of TV each day. There are 1143 middle school students in the Timothy School District.
Based on the data, how many students in the whole district watch 4 hours of TV each day?
***Set up two equal proportions to solve!
***Round your answer!
14
233
267
876
Using Samples to Make Predictions
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