Day 3: Sampling Distributions. CCSS.Math.Content.HSS-IC.A.1 Understand statistics as a process for making inferences about population parameters based on a random sample from that population. CSS.Math.Content.7.SP.A.1
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Day 3: Sampling Distributions
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FINISHED FILES ARE THE RESULT OF YEARS OF SCIENTIFIC STUDY COMBINED WITH THE EXPERIENCE OF MANY YEARS
How many ‘F’s did you see?
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FINISHED FILES ARE THE RESULT OF YEARS OF SCIENTIFIC STUDY COMBINED WITH THE EXPERIENCE OF MANY YEARS
A characteristic of an entire population is referred to as a parameter
Example: The parameter in our example is the true (actual) mean number of Fs people see in our sentence.
Two groups
difference of the medians
sampling variability
Snackmakers asserts that its canisters of Chippers have a mean of 90 chips per canister. Assume the standard deviation of the number of chips among canisters is 3.2 chips. A random sample of 49 canisters finds a sample mean of 89 chips.
A) If Snackmaker’s assertion were correct, what is the probability the sample mean of 49 canisters would be less than or equal to 89 chips?
B) From A’s result, what do you think of Snackmaker’s claim?
2) Student observes what really happens
3) Discuss difference between the prediction and actual empirical results
Polling Activity
The interval includes the plausible values for the true population mean in the sense that any of those populations would have produced the observed sample proportions within its middle 95% of possible outcomes.
In other words, the student is 95% confident that the mean number of times that people have accessed the facebook homepage in the past week is between ___ and ___.