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A hypothesis test produces a t statistic of t = 2.20. If the researcher is using a two-tailed test with a = .05, how large does the sample have to be in order to reject the null hypothesis
As i study on childhood disease then my collected sample is 269 and variable include age of child. vaccination status , social condition include type of house ,monthly in come .no of rooms in house ,person living in house , type of waste disposal and..
Construct a 95 percent confidence interval for the true mean.
four possibly winning numbers for a lottery-ab-4536 nh-7812 sq-7855 and zy-3221- arrive in the mail. you will win a
Repeat this process 10 times or you can draw 10 samples simultaneously using StatTools. Make a histogram of the 10 values of sample means. You are constructing the sampling distribution of sample means. What is the center of your histogram?
The weight of a small Starbucks coffee is a normally distributed random variable with a mean of 370 grams and a standard deviation of 15 grams. Find the weight that corresponds to each event:
In a random sample of 10 cell phone users, what is the probability that exactly 2 have used their phones to access the Internet? More than 2?
it is known that the variance of a population equals 1296. a random sample of 144 observations is going to be taken
Mike works in a quality at a well known saw blade company. An inpsector on his team has uncovered an issue with the kerf dimension on the bandsaw blade line.
To decrease the amount of time it takes to deliver packages, a delivery company purchased computer software that finds the optimal route for making deliveries based upon the input of the package destinations.
How would you find the normal approximation to the binomial probability P(x = 5) in part A? Please show how you would calculate µ and σ in the formula for the normal approximation to the binomial, and show the final formula you would use without g..
the closing stock price for each of two stocks was recorded over a 12-month period. the closing price for the dow jones
Determine r.m.s. error for regression prediction of height at 18 from height at 6.
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