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Definition
| The likelyhood that an event will occur. |
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Definition
| Each of the final outcomes for an experiment. |
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Definition
| A collection of more than one outcome for an experiment. |
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Definition
| Two or more outcomes that have the same probability of occurance. |
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Definition
| Probability that the event will occur given that another event has already occured. |
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Definition
| Events that cannot occur together. |
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Definition
| The occurance of one event doesn't effect the probability of the other. |
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Definition
| The occurance of one event affects the probability of another occuring. |
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Definition
| Two mutually exclusive events that taken together include all the outcomes for an experiment. Equal to 1. |
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Term
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Definition
| A and B includes all outcomes that are in A or in B or in both A and B |
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Definition
| Variable whose value is determined by the outcome of a random experiment. |
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Definition
| A random variable that assumes countable values. |
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Term
| Mean of the Discrete Random Variable |
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Definition
| The value that is expected to to occur per repetition. Denoted by mule. |
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Term
| Binomial Probability Distribution |
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Definition
| One of the most widely used discrete probabilities distributions. Used to find the the probability that an outcome will occur x times in n performances of an experiment. |
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| Normal Probability Distrubution |
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Definition
| A symmetric bell shaped curve. "normal curve" Mean is denoted by M and its standard deviation. |
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Term
| Standard Normal Distribution |
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Definition
| Normal distribution with m=0 and o=1. |
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Definition
| The distance between the mean and the point represented by z |
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Term
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Definition
| The probability distribution of the population data. |
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Term
| Relative Frequency of classes. |
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Definition
| Obtained by dividing the frequencies of classes by the population size. |
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Term
| Sampling Distribution of x bar |
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Definition
| Lists the various values that x bar can assume and the probability of each value of x bar. |
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Term
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Definition
The difference between the value of a sample statistic and the value of the corresponding population parameter.
xbar-m |
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Term
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Definition
| The errors the occur in the collection, recording, and tabulation of data. |
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Term
| Mean of the Sampling Distribution of x bar |
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Definition
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Term
| Standard Deviation of the Sampling Distribution of x bar |
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Definition
| o xbar=o/square root of n |
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Definition
| States that for a large sample size, the sampling distribution of x bar is approximately normal. |
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Definition
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Definition
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Definition
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Definition
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Definition
| Standard deviation of the sampling distribution of xbar |
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Term
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Definition
| Mean of the sampling distribution of xbar |
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Term
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Definition
| The probability distribution of all possible values of a sample statistic for a given sample size. |
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Term
| According to the CLT, if the sample size is________, then the shape of the sampling distribution of xbar is normal, regardless of the shape of the _________distribution. |
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Definition
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| Determine the compliment whenthe probability it will rain is 34% |
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Definition
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Term
The next 25 customers to enter a store are observed. Determine if the variable X is a binomial random variable if:
a.X is the number of items purchased by the customer____
b.X is the weight of each customer________
c.X is the number of customers wearing a hat_________ |
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Definition
Not binomial (discrete)
Not binomial (continuous)
Binomial (hat or no hat) |
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