Samp WS 2 ANS
... 1a) The probability of the sample of 10 taxi fares would be greater because the variance of the sampling distribution is smaller than the variance of the population causing more area of the distribution to be between $21 & $24. b) The probability of a single taxi fare would be greater because the va ...
... 1a) The probability of the sample of 10 taxi fares would be greater because the variance of the sampling distribution is smaller than the variance of the population causing more area of the distribution to be between $21 & $24. b) The probability of a single taxi fare would be greater because the va ...
Confidence Intervals with σ unknown
... has a standard normal (N (0, 1)) distribution (notice that the test statistic is just the standardized version of X under the assumption that the true mean is actually equal to µ0 ). The usual convention applies that if σ is unknown, and n is large then the sample standard deviation, s, is used in p ...
... has a standard normal (N (0, 1)) distribution (notice that the test statistic is just the standardized version of X under the assumption that the true mean is actually equal to µ0 ). The usual convention applies that if σ is unknown, and n is large then the sample standard deviation, s, is used in p ...
Chapter 17 Inference about a Population Mean Conditions for
... Then we were constructing confidence interval for the population mean μ based on _________ distribution (one-sample z statistic): This holds approximately for large samples even if the assumption (2) is not satisfied. Why? Issue: In a more realistic setting, assumption (3) is not satisfied, i.e., th ...
... Then we were constructing confidence interval for the population mean μ based on _________ distribution (one-sample z statistic): This holds approximately for large samples even if the assumption (2) is not satisfied. Why? Issue: In a more realistic setting, assumption (3) is not satisfied, i.e., th ...
Introduction to Biostatistics
... • Examples - age, blood pressure, heart rate, weight. • Nominal (categorical) Scale – place the person or thing in a category that is not ordered. • Example – eye color puts people in a category but there is no ...
... • Examples - age, blood pressure, heart rate, weight. • Nominal (categorical) Scale – place the person or thing in a category that is not ordered. • Example – eye color puts people in a category but there is no ...
Chapter 1 Descriptive statistics—methods of summarizing data
... Scatterplot—plots bivariate data Correlation coefficient (r)—range -1 to 1—determines how well the data fits a linear regression Does not depend on which is x and which is y, or units of measure -1 to -.8 and .8 to 1—strong -.8 to -.5 and .5 to .8—moderate -.5 to .5 –weak ...
... Scatterplot—plots bivariate data Correlation coefficient (r)—range -1 to 1—determines how well the data fits a linear regression Does not depend on which is x and which is y, or units of measure -1 to -.8 and .8 to 1—strong -.8 to -.5 and .5 to .8—moderate -.5 to .5 –weak ...
Prof. Fischthal MATH 114 Chapters 9 and 10 REVIEW
... must show all steps used when coming up with a solution. The answer “I did it in my head” or “I worked it out logically” will not be accepted unless you explain what you did. In any question where you are using the normal distribution you must show an appropriate graph. ...
... must show all steps used when coming up with a solution. The answer “I did it in my head” or “I worked it out logically” will not be accepted unless you explain what you did. In any question where you are using the normal distribution you must show an appropriate graph. ...
