Review stat test1-6 (Solutions)
... 17. If a student scores a 700 on the TUBWA what would you expect their grade to be on the WUBA? show your work. Z (TUBWA) = (700-597) / 103 = 1 Z(WUBA) = 1 = (x – 32.2)/5.6; x = 5.6*1+32.2 = 37.8 He needs a 37.8 18. Richard Nixon ran for Senate against a Mrs. Douglas. In a debate he made the stateme ...
... 17. If a student scores a 700 on the TUBWA what would you expect their grade to be on the WUBA? show your work. Z (TUBWA) = (700-597) / 103 = 1 Z(WUBA) = 1 = (x – 32.2)/5.6; x = 5.6*1+32.2 = 37.8 He needs a 37.8 18. Richard Nixon ran for Senate against a Mrs. Douglas. In a debate he made the stateme ...
Data Analysis and Interpretation 1: Descriptive Statistics
... - The results indicated that undergraduate nursing students’ reading aptitudes were higher than their English aptitudes, and that English aptitude was more predictive of formal writing ability than was reading aptitude. - TEAS English subtest addresses areas more directly related to writing (e.g., p ...
... - The results indicated that undergraduate nursing students’ reading aptitudes were higher than their English aptitudes, and that English aptitude was more predictive of formal writing ability than was reading aptitude. - TEAS English subtest addresses areas more directly related to writing (e.g., p ...
Research Methods 1
... 1. Representative samples are better than biased samples. 2. The less variation in the data, the more reliable (if variability is high in a distribution, the mean becomes less meaningful) 3. More cases are better than fewer cases. (ask 2 friends how they like the class vs. asking 25) ...
... 1. Representative samples are better than biased samples. 2. The less variation in the data, the more reliable (if variability is high in a distribution, the mean becomes less meaningful) 3. More cases are better than fewer cases. (ask 2 friends how they like the class vs. asking 25) ...
Chapter 1
... This result makes sense: while µ̂x might sometimes be higher or lower than than the true mean, on average, the bias (i.e., the expected difference between these two) will be 0. Deriving the formula for the sample variance σ̂ 2 requires a similar (but slightly more complicated) process; we obtain E[σ ...
... This result makes sense: while µ̂x might sometimes be higher or lower than than the true mean, on average, the bias (i.e., the expected difference between these two) will be 0. Deriving the formula for the sample variance σ̂ 2 requires a similar (but slightly more complicated) process; we obtain E[σ ...
Powerpoint
... The distribution keeps its original shape, even though the scores are now z-scores. ...
... The distribution keeps its original shape, even though the scores are now z-scores. ...
投影片 1
... Learning Activity 8.2-2 Sample size for a proportion Open SampleSize.xls!Start. Calculate the sample size by using the Eq. [8.10] MegaStat | confidence Intervals | Sample Size – p See sampleSize.xls!Solution2. See sampleSize.xls!Why p of .5. ...
... Learning Activity 8.2-2 Sample size for a proportion Open SampleSize.xls!Start. Calculate the sample size by using the Eq. [8.10] MegaStat | confidence Intervals | Sample Size – p See sampleSize.xls!Solution2. See sampleSize.xls!Why p of .5. ...
Review chapter 3-4
... 1. A company performs quality control on its juice bottles. If finds that the volumes of juice in its 16 ounce bottles have a mean of 16.3 ounces and a standard deviation of 0.09 ounces. Use the range rule of thumb to estimate the minimum and maximum “usual” volumes. 16.2 ounces, 16.48 ounces ...
... 1. A company performs quality control on its juice bottles. If finds that the volumes of juice in its 16 ounce bottles have a mean of 16.3 ounces and a standard deviation of 0.09 ounces. Use the range rule of thumb to estimate the minimum and maximum “usual” volumes. 16.2 ounces, 16.48 ounces ...
Two sample t-test - MGH Biostatistics Center
... Another aspect of the tumor volume study was trying to compare the tumor volume among patients with different forms of cancer. The average tumor size is important to know the effect of treatment can be determined. In this study, patients with brain, breast and liver tumors, but initially we will o ...
... Another aspect of the tumor volume study was trying to compare the tumor volume among patients with different forms of cancer. The average tumor size is important to know the effect of treatment can be determined. In this study, patients with brain, breast and liver tumors, but initially we will o ...
Estimating a Population Mean from a Large Sample Our text
... To address the effectiveness of the training program, on the basis of our sample, we would like to estimate mean improvement in sprint times for all similar athletes who would participate in the speed training program. We will use the sample mean of the data in the table above to estimate μ, the mea ...
... To address the effectiveness of the training program, on the basis of our sample, we would like to estimate mean improvement in sprint times for all similar athletes who would participate in the speed training program. We will use the sample mean of the data in the table above to estimate μ, the mea ...
Linear Regression Power Point
... Summary of Residuals • A common theme in statistical modeling is to think of each data point as being composed of 2 parts – the part that is explained by the model (often called the fit) and the “leftover” part, (often called the residual). In the context of least squares regression, the fitted val ...
... Summary of Residuals • A common theme in statistical modeling is to think of each data point as being composed of 2 parts – the part that is explained by the model (often called the fit) and the “leftover” part, (often called the residual). In the context of least squares regression, the fitted val ...
Chapter 8 Read Notes
... homework, on average. To investigate this claim, an AP Statistics class selected a random sample of 250 students from their school and asked them how long they spent doing homework during the last week. The sample mean was 10.2 hours and the sample standard deviation was 4.2 hours. Construct and int ...
... homework, on average. To investigate this claim, an AP Statistics class selected a random sample of 250 students from their school and asked them how long they spent doing homework during the last week. The sample mean was 10.2 hours and the sample standard deviation was 4.2 hours. Construct and int ...
Bootstrapping (statistics)
In statistics, bootstrapping can refer to any test or metric that relies on random sampling with replacement. Bootstrapping allows assigning measures of accuracy (defined in terms of bias, variance, confidence intervals, prediction error or some other such measure) to sample estimates. This technique allows estimation of the sampling distribution of almost any statistic using random sampling methods. Generally, it falls in the broader class of resampling methods.Bootstrapping is the practice of estimating properties of an estimator (such as its variance) by measuring those properties when sampling from an approximating distribution. One standard choice for an approximating distribution is the empirical distribution function of the observed data. In the case where a set of observations can be assumed to be from an independent and identically distributed population, this can be implemented by constructing a number of resamples with replacement, of the observed dataset (and of equal size to the observed dataset).It may also be used for constructing hypothesis tests. It is often used as an alternative to statistical inference based on the assumption of a parametric model when that assumption is in doubt, or where parametric inference is impossible or requires complicated formulas for the calculation of standard errors.