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So for the following problem, what is the excel formula used to obtain the following answers.
Adults spend 2.45 hours per day watching television on a weekday. Assume that the standard deviation for? "time spent watching television on a?weekday" is 1.93 hours. If a random sample of 40 adults is? obtained, describe the sampling distribution of overbar x?, the mean amount of time spent watching television on a weekday.
X (with uniform distribution ? or is approximately normal?) μ-x = ___ and σ-x = __
a. Present the data as a column of quantitative responses (in increasing order) and a column of categorical explanatory values.
Suppose that his utility for our reward is u(Y(q,$),$) = q(s), for every q in 0(1)) and every s in SZ. Will his report q be his true subjective probability distribution p? If not, what will he report?
Consider the Xbar charts shown below for two processes. The charts may OR may not have instances of special cause variation. Identify ALL violation(s) (if any) of the eight tests where statistical signals show that special cause variation is ind..
Construct a probability plot that will allow you to assess the plausibility of the lognormal distribution as a model for the rainfall data of Exercise 83 in Chapter 1
the correlation between the temperature in celsius and temperature in fahrenheit.the correlation between hours of sleep
Is there any evidence to suggest that the variability in item weight at Jefferson is greater than at New York Avenue? Use a = 0.01 and assume normality.
The following data represents the amount of time ( in minutes ) that a person had to wait for a bus to work on a random sample of 5 working days.
Calculate the following using the normal approximation to the binomial distribution. (Round your answers to four decimal places.)
Standardize the value according to the given average and SD - unstandardize the value according to the given average and SD
The margin of error for a 95% confidence interval estimate for the proportion of all students with cell phones is
What is a discrete and continuous random variable? What is an example of each variable? What are the similarities and differences between each variable?
Why are the t values listed in the df = infinity row of the t distribution table identical to the z values that correspond to the same right-tail areas of the standard normal distribution?
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