The height of women ages 20-29 is normally distributed, with a mean of 64.6 inches. Assume o = 2.7 inches. Are you more likely to randomly select 1 woman with a height less than 66.2 inches or are you more likely to select a sample of 24 women with a mean height less than 66.2 inches? Explain. E Click the icon to view page 1 of the standard normal table. E Click the icon to view page 2 of the standard normal table. What is the probability of randomly selecting 1 woman with a height less than 66.2 inches? (Round to four decimal places as needed.) What is the probability of selecting a sample of 24 women with a mean height less than 66.2 inches? (Round to four decimal places as needed.) Are you more likely to randomly select 1 woman with a height less than 66.2 inches or are you more likely to select a sample of 24 women with a mean height less than 66.2 inches? Choose the correct answer below. O A. It is more likely to select a sample of 24 women with a mean height less than 66.2 inches because the sample of 24 has a lower probability. O B. It is more likely to select 1 woman with a height less than 66.2 inches because the probability is higher. O C. It is more likely to select a sample of 24 women with a mean height less than 66.2 inches because the sample of 24 has a higher probability. O D. It is more likely to select 1 woman with a height less than 66.2 inches because the probahility is lower
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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