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For normal random variables, the probability of being within one standard deviation of the mean is 0.68.
That is, P(µ-σ ≤ X ≤ µ+σ) = .68 if X has a normal distribution. For non-normal distributions, is it safe to assume that this probability is again 0.68? Explain your answer.
the route used by a certain motorist in commuting to work contains two intersections with traffic signals. the
Assuming the life length of this type of lightbulb is normally distributed, if you wish to conduct this test using a .05 level of significance, what is the critical value that you should use? Place your answer, rounded to 3 decimal places in the b..
question aggregate responses to three questions were obtained from a survey of 100 males and 100 females who were
Question: Identify the independent and dependent variables and at least one potentially confounding variable. State how the confounding variable(s) might be controlled.
Organize the data in a table that will be used to determine relative risk (also called risk ratio) for a heart attack. Calculate the relative risk (RR) for a heart attack among those with hypertension as compared to those without hypertension.
The number of weeds that remain living after a specific chemical has been applied averages 1.3 per square yard and follows a Poisson distribution. Based on this, what is the probability that a 3 square yard section will contain less than 4 weeds?
the mean score on a physical fitness test for division i student-athletes is 947 with a standard deviation of 205. if
1. for a standard normal model find the z-value that is less than the mean and for which 67 of the area under the
three cards are randomly selected without replacement from a standard deck of 52 playing cards. compute the conditional
For each, draw the histogram of the sampling distribution of bar(y). Which sampling distribution has the smaller variance, and why?
A meat packer is investigating the marked mass shown on Vienna sausages. A pilot study showed a mean of 11.8kg per pack and a standard deviation of 0.7kg.
Descriptive statistics for given data - Evaluate the range, variance, and standard deviation of the data set. Interpret the results in the context of the real-life setting.
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