The Normal probability distribution function is left-skewed, right-skewed, or symmetric depending on the values of the variance and the standard deviation might the mean of a probability distribution for a discrete random variable be less than (or greater than) the average of possible values.
A probability distribution is a mathematical function that describes the probabilities of different possible values of a variable. Probability distributions are often represented using graphs or probability tables.
Probability distributions are called discrete probability distributions, and the set of outcomes is inherently discrete. For example, if you roll a die, all possible outcomes are discrete and you get a large number of outcomes. Also called probability mass function.
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Answer:
Step-by-step explanation:
25/8
8*3=24
25-24=1
3 1/8
= 18 1/5 + 22 2/5 + 40 1/5
answer is D. last one
Answer:
89
Step-by-step explanation:
7^2=49
49+4=53
6^2=36
53+36=89
Observation that we can make is min = 10, max = 19, range = 9, Maximum frequency of a number is 12, Average = 12.9, median = 12, mode = 12 it is slightly skewed on the right.
Step-by-step explanation:
- It is imperative to create a data in a tabular column before analyzing.
- Once the data is created use tally marks or frequency distribution.
- Frequency distribution helps the data to provide occurrence of event.
- Very important to number which is a counting numbers are discrete.
- Continuous of data are ones which are in decimal.
- Descriptive statistics is the 1st level of Statistics.
- It finds, where the data stands. Minimum, Maximum is understandable.
- Range is at what level data is expanded.
- Average is the one numeric of a number.
- Median is the mid point of data
- Mode is the repetitive number of the data.
- Skewness is whether data is having extreme directions.