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Ivanshal [37]
2 years ago
13

The proportion of all US adults who eat popcorn when they go to the movie theater is p = 0.87. A random sample of 20 US adults w

as selected and asked if they eat popcorn when they go to the movie theater. Which of the following is the shape of the sampling distribution of p hat ?
The sampling distribution of p hat is approximately Normal because n p = 17.4 greater-than 10.
Because n (1 minus p) = 20 (1 minus 0.87) = 2.6 less-than 10, the sampling distribution of p hat is not approximately Normal. The sampling distribution of p hat is skewed right and centered at 0.87.
Because n (1 minus p) = 20 (1 minus 0.87) = 2.6 less-than 10 , the sampling distribution of p hat is not approximately Normal. Because p = 0.87 is closer to 1 than 0, the sampling distribution of p hat is skewed to the left.
Because n (1 minus p) = 20 (1 minus 0.87) = 2.6 less-than 10, the sampling distribution of p hat is not approximately Normal. Because p = 0.87 is closer to 1 than 0, the sampling distribution of p hat is skewed to the right.
Mathematics
1 answer:
Nookie1986 [14]2 years ago
4 0

The option third is correct because nx(1-p)=2.6 less than equal to 10 then the sampling distribution \rm \hat{p} is not approximate normal because p=0.87 is closer to 1 than zero.

Sampling distribution \rm \hat{p} is skewed to the left.

<h3>What is a normal distribution?</h3>

It's the probability curve of a continuous distribution that's most likely symmetric around the mean. On the Z curve, at Z=0, the chance is 50-50. A bell-shaped curve is another name for it.

Because the requirement for normal is greater than 10, n×p is greater than 10 and nx(1-p) is also greater than 10.

This situation is abnormal because it is not valid. If p is close to 1 in a normal graph, then p is left skewed.

Thus, the option third is correct because nx(1-p)=2.6 less than equal to 10 then the sampling distribution \rm \hat{p} is not approximate normal because p=0.87 is closer to 1 than zero. Sampling distribution \rm \hat{p} is skewed to the left.

Learn more about the normal distribution here:

brainly.com/question/12421652

#SPJ1

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