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the average doctors visit is 17 minutes with a standard deviation of 9 minutes a researcher uses a sampling
consider an experiement where 2 cards are drawn without replacement given the eventsefirst card drawn is king f2nd card
assuming poisson distribution with mean of 20 customers find the prob that more than 10 customers enter a supermarket
give an example of a type i and type ii error what are the ramifications or impacts of those errors for the situation
1 assume eye colors in the us are distributed as followsnbsp40 brown 35 blue 12 green 7 gray and 6 hazelnbspa
a student randomly selects 150 cds at a store the mean price is 795 with a standard deviation of 130 construct a 95
a survey of 1500 golfers showed that 225 of them are left-handed construct a 95 confidence interval for the proportion
what is the difference between a parameter and a statistic describe an example finally there are adjustments that
what is the difference between the mean and the median and which would you report if you had a skewed set of data to
let x nmu sigmaa use the properties of moment generating functions to show that axb namu b asigmab use the cdf method
in a survey of 700 freshmen 300 were enrolled in a math course and 500 were enrolled in a writing course of those
in 1989 527000 people worked in the air transportation industry innbsp2005 the number was 477000a find a linear
in a random sample of eight military contracts involving cost overruns the following information was obtained x bid
for the data set shownnbspbelow how do inbspuse technology to find the estimates ofnbspbeta0nbspandnbspbeta1 and then
what is the minimum sample size n is needed to estimate u for the values of c 090 o98 and e1 assume that a preliminary
suppose that we have the data x1 x2 xn such that x1x2xn3 what is the mean of the data what is the standard deviation i
can someone please help me understand how to use a standard normal table to find the positive critical value that
a researcher applies a random forest model to a very large set of genetic data to estimate the risk of getting throat
a research ts a polynomial regression to his data but nds that the prediction on the edges of his dataset are wildly
you run k-means clustering on your dataset with k 5 and get some result your coworker takes the same dataset runs
you are running a logistic regression in order to classify observations in a dataset into two classes when discussing
a delivery services wishes to partition its customers locations in a city so that a each set contains geographically
suppose we t a decision tree using bagging with b bootstrapped training sets for each of the following determine
a data scientist wishes to t a linear model and has 100 predictors on hand for simplicity of deployment she wants no
suppose a multiple regression model is given by ynbsp 444x1nbsp-929x2nbspnbsp 3967 how do i determinenbspwhat an