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Hello,
I have a couple of questions I need some assistance in. If anyone can please help me get started with this I appreciate it:
1. Heights of women have a bell-shaped distribution with a mean of 165cm and a standard deviation of 5cm. Using Chebyshev's theorem, what do we know about the percentage of women with heights that are within 2 standard deviations of the mean? What are the minimum and maximum heights that are within 2 standard deviations of the mean?
At least ___% of women have heights within 2 standard deviations of 165cm? (Round to the nearest percent as needed)
The minimum heights that is within 2 standard deviations of the mean is ___cm
The maximum height that is within 2 standard deviations of the mean is ___cm
2. Ted is not particularly creative. He uses the pickup line " If I could rearrange the alphabet. I'd put U and I together". The random variable x is the number of girls Ted approaches before encountering one who reacts positively. Determine whether the table describes a probability distribution. If it does, find its mean and standard deviation.
x P(x)
1 0.002
2 0.026
3 0.119
4 0.265
5 0.234
Find the mean of the random variable. Select the correct choice below and, if necessary. Fill in the answer box to complete your choice.
a-
b- the table is not a probability distribution
Find the standard deviation of the random variable x. Select the correct choice below and if necessary fill in the answer box to complete your choice.
a-
b- the table is not a probability distribution
Thank you everyone for your assistance.
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Okay, I'll take a stab at 1 before somebody who actually knows tells ya. I could very well be wrong but I believe 2 standard deviations is defined as 95% are within mean. Since they gave you one standard deviation, I would guess that min height is 155cm and max is 175cm. Annnnnd BOY, could I be wrong. Haha!!
Last edited by Newman (2015-09-29 09:25:29)
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hi kendraap
Welcome to the forum.
I would have used 2 standard deviations too, but, I thought I'd better look up Chebyshev's theorem.
https://en.wikipedia.org/wiki/Chebyshev%27s_inequality
In practical usage, in contrast to the 68-95-99.7% rule, which applies to normal distributions, under Chebyshev's inequality a minimum of just 75% of values must lie within two standard deviations of the mean and 89% within three standard deviations.
question 2: "Determine whether the table describes a probability distribution. " Have you been given a method for doing this ?
LATER EDIT: I had assumed the question wanted you to identify the distribution (eg. binomial) and I couldn't see how you could do that with any certainty. If you don't find a 'fit' that doesn't mean that one doesn't exist and if you find a distribution that is 'close' that doesn't mean it is right.
But, re-reading the question, I wonder if this is just about the fact that the probabilities don't add up to 1. Are you just expected to say it cannot be a probability distribution because of this. It seems a bit simple but maybe that is all this question is about.
Bob
Last edited by Bob (2015-09-30 06:49:04)
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Sometimes I deliberately make mistakes, just to test you! …………….Bob
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