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Scores are obtained from the Law School Admission Test (LSAT) are normally distributed with a mean score of 550 and a standard deviation of 110.
1. If a test score is selected at random, find the probability that it is less than 750.
2. If the top 15% of the test scores are usually good enough for admission to law school, find the cut off score for gaining admission.
One should never use a regression line to predict the dependent response variable when the independent value is outside of the data range of the original data set that was used to fit the line.
Is a football jersey number a quantitative or a categorical variable? Support your answer with a detailed explanation
How many departments would they need to survey to achieve this level of accuracy with 95% confidence?
Laura wanted to build a multiple regression model based on advertising expenditures and coffee times price index. Based on the selection of all normal values she obtained the following:
A least squares linear trend line is just a simple regression line with the independent variable being time (months or years for example).
Suppose the following statistics were calculated from data gathered from a randomized block experiment with k = 4 and b = 10:
A recent national study showed that approximately 30% of college students binge-drink. Let x equal the number of students in a random sample size of n=12 who binge drink. Find the probability that
By using standard normal table, determine critical value (or values) for= 0.14 right-tailed test.
Can we conclude there is a difference in mean number of surgeries performed by hospital or by day of week?
Identify and briefly discuss two important concepts ( Prediction and Regression/ Correlation or Regression) applicable to analytical methodology.
If the same sample results had been obtained from a random sample of 16 students, could the students' claim be accepted at a lower level of significance?
According to the survey, 37% of the adults are concerned that employers are monitoring phone calls. Use the binomial distribution formula to calculate the probability that:
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