Checking Parametric Statistic Assumptions in SPSS
... 3. Independent Observations. The observations within each treatment condition must be independent. The scores in one group do not depend in any way on the other group(s). The following example is based on a group of 30 Olympic weightlifters and a group of 30 body builders. One repetition maximum squ ...
... 3. Independent Observations. The observations within each treatment condition must be independent. The scores in one group do not depend in any way on the other group(s). The following example is based on a group of 30 Olympic weightlifters and a group of 30 body builders. One repetition maximum squ ...
Measurement and Uncertainty
... A histogram is a bar graph that indicates how often a measurement falls within a particular range of values. On the abscissa (x-axis) the range of all possible measured values is subdivided into smaller intervals termed “bins”. The ordinate (y-axis or height of each of the bars) gives the number of ...
... A histogram is a bar graph that indicates how often a measurement falls within a particular range of values. On the abscissa (x-axis) the range of all possible measured values is subdivided into smaller intervals termed “bins”. The ordinate (y-axis or height of each of the bars) gives the number of ...
Chapter 9 Notes
... Time-varying data – camel hump call center Dependent data – drinks in season ...
... Time-varying data – camel hump call center Dependent data – drinks in season ...
June 08
... Usually the correct test statistic was found with little trouble. Most candidates identified the correct number of degrees of freedom, but not always the correct percentage point. As mentioned in the introductory comments to this report, the final conclusion to the test was less than satisfactory mu ...
... Usually the correct test statistic was found with little trouble. Most candidates identified the correct number of degrees of freedom, but not always the correct percentage point. As mentioned in the introductory comments to this report, the final conclusion to the test was less than satisfactory mu ...
If a mound-shaped distribution is symmetric, the mean coincides with:
... to pay at another teller (teller 2). The average waiting time at the first teller was 7.8 minutes with a standard deviation of 3.3 minutes, while the average waiting time at the second teller was 7.9 minutes with a standard deviation of 1.8 minutes. Can we conclude that we are more uncertain about h ...
... to pay at another teller (teller 2). The average waiting time at the first teller was 7.8 minutes with a standard deviation of 3.3 minutes, while the average waiting time at the second teller was 7.9 minutes with a standard deviation of 1.8 minutes. Can we conclude that we are more uncertain about h ...
Document
... • The purpose of a study by Stone et al. was to determine the effects of long-term exercise intervention on corporate executives enrolled in a supervised fitness program. Data were collected on 13 subjects (the exercise group) who voluntarily entered a supervised exercise program and remained active ...
... • The purpose of a study by Stone et al. was to determine the effects of long-term exercise intervention on corporate executives enrolled in a supervised fitness program. Data were collected on 13 subjects (the exercise group) who voluntarily entered a supervised exercise program and remained active ...
is the sample size
... Enables use of different methods in strata. Disadvantages Increased error will result if subgroups are selected at different rates Expensive especially if strata on the population have to be created. 4. Cluster Sampling: The population is divided into internally heterogeneous subgroups and som ...
... Enables use of different methods in strata. Disadvantages Increased error will result if subgroups are selected at different rates Expensive especially if strata on the population have to be created. 4. Cluster Sampling: The population is divided into internally heterogeneous subgroups and som ...
Aineprogramm
... A typical data sample is distributed over a range of values, with some values occurring more frequently than others. Some of the variability may be the result of measurement error or sampling effects. For large random samples, however, the distribution of the data typically reflects the variability ...
... A typical data sample is distributed over a range of values, with some values occurring more frequently than others. Some of the variability may be the result of measurement error or sampling effects. For large random samples, however, the distribution of the data typically reflects the variability ...
