CB.Stats.UNC-3.O: Determine whether a sampling distribution for a difference of sample proportions can be described as approximately normal.

Determine whether a sampling distribution for a difference of sample proportions can be described as approximately normal.

Example Problems
A tennis statistician reported that the top-ranked junior player hits aces on of her first serves. Her coach thinks her ace rate is actually higher now, so he took a random sample of of her recent first serves and observed that were aces.

To see how likely a sample like this was to happen by random chance alone, the coach performed a simulation. He simulated 75 samples of
first serves from a large population where of first serves were aces. He recorded the proportion of aces in each sample. Here are the counts from his 75 samples:

Sample proportionFrequency
0.061
0.093
0.129
0.1517
0.1818
0.2115
0.248
0.273
0.301


He wants to test
vs. where is her true first-serve ace rate.

Based on these simulated results, what is the approximate
-value of the test?
A volleyball player's stats sheet from last season showed that of her serves landed in bounds. She suspected her serving had gotten less consistent this season, so she took a random sample of of her recent serves and observed that of them landed in bounds.

To see how likely a sample like this was to happen by random chance alone, the player performed a simulation. She simulated
samples of serves from a large population where of serves landed in bounds. She recorded the proportion of in-bounds serves in each sample. Here are the counts from her samples:

Sample proportionFrequency
0.6331
0.6672
0.7003
0.7335
0.7677
0.80014
0.8339
0.8676
0.9003


She wants to test
vs. where is her true serving accuracy.

Based on these simulated results, what is the approximate p-value of the test?
A Minecraft server moderator reported that of players survive their first in-game night. A new player thinks the server's recent update made the game harder, so he took a random sample of recent first-night attempts and observed that survived.

To see how likely a sample like this was to happen by random chance alone, the player performed a simulation. He simulated 100 samples of
first-night attempts from a large population where of players survived. He recorded the proportion of survivors in each sample. Here are the counts from his 100 samples:

Sample proportionFrequency
0.431
0.472
0.502
0.536
0.5611
0.5918
0.6120
0.6416
0.6713
0.707
0.733
0.761


He wants to test
vs. where is the true first-night survival rate.

Based on these simulated results, what is the approximate
-value of the test?
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