UPPOSE THE LIFETIMES OF TV TUBES ARE NORMALLY DISTRIBUTED WITH A STANDARD DEVIATION OF 1.1 YEARS. SUPPOSE THAT EXACTLY 20% OF ALL TUBES DIE BEFORE 5 YEARS. FIND MEAN LIFETIME OF TV. TUBES.
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.
SUPPOSE THE LIFETIMES OF TV TUBES ARE
GIVEN DATA : lifetimes of TV tubes are normally distributed with a standard deviation of
of the tubes die before years
TO FIND : Mean of the lifetime of T.V tubes
Normal distribution is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean.
Z-score is a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean.
Suppose the random variable that represent the lifetimes of TV tubes of a population, and for this case we know the distribution for X is given by
It is given that standard deviation is
From the given data, Before years tubes die
thus, Probability of tubes before years
thus, after years
From the value that satisfy the condition with of the area on the left and of the area on the right it's On this case and
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