(e) Determine the mean and standard deviation number of credit cards from the probability distribution found in part (c). The mean is credit cards. (Type an integer or a decimal. Do not round.) One question from a survey was "How many credit cards do you currently have?" The results of the survey are provided. Complete parts (a) through (g) below. Click the icon to view the survey results. (c) Determine a probability distribution for the random variable, X, the number of credit cards issued to an individual. x (# of cards) P(x) x (# of cards) P(x) 1 0.14 6. 0.02 2 0.29 7 0.02 3 0.30 8 0.02 4 0.11 9. 0.02 5 0.07 10 0.01 (Type integers or decimals. Do not rounc (d) Draw a graph of the discrete probability distribution for the random variable X. Describe the shape of the distribution. Credit Card Survey Results D. 0.4- 0.4] 3 2 5 1 3 1 0.3- 0.3- 2 3 3 5 2 1 4 0.2- 0.2- 3 8. 3 2 4 5 2 2 2 2 2 7 4 2 2 0.1- 0.1- 0- 0 2 4 6 # of credit cards, x 5 9 4 1 3 3 3 4 2 0 2 4 6 # of credit cards, x 8 10 8 10 2 10 3 4 7 1 3 3 2 9. 2 3 2 3 2 1 4 3 3 2 4 1 1 4 3 1 1 6. 3 1 2 1 2 4 1 of Probability, P(x) m o N N - 45 -33 252 2 2은 323 1
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.
Using the Table and the data found in part c please answer the question in part e.
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