Terms : Hide Images
| 13753111892 | population standard deviation | the square root of the population variance |  | 0 |
| 13753104216 | x bar | sample mean (statistic) | 1 | |
| 13753143669 | probability sample | a sample in which every element in the population has a known statistical likelihood of being selected |  | 2 |
| 13753148580 | normcdf(lower bound, upper bound) | Calculator function used to find areas and probabilities | 3 | |
| 13753150995 | five number summary | minimum, 1st quartile, median, 3rd quartile, maximum |  | 4 |
| 13753182379 | least squares regression line | the line with the smallest sum of squared residuals |  | 5 |
| 13753247202 | Type I error (alpha) | Stating that there is an effect when none exists (accepting an expirimental hypothesis when the null is true) |  | 6 |
| 13753251553 | Type II error | failing to reject a false null hypothesis |  | 7 |
| 13753255983 | probability distribution | list of possible outcomes with associated probabilities |  | 8 |
| 13753261726 | residual plot | a scatterplot of the regression residuals against the explanatory variable |  | 9 |
| 13753265784 | randomized block design | the random assignment of experimental units to treatments is carried out separately within each block |  | 10 |
| 13753272518 | two sample t test | a statistical method used to compare the means of 2 groups of subjects. If p <0.05, the null is rejected and the means are different. |  | 11 |
| 13753281571 | chi-square test of independence | a statistical test in which both variables are categorical. This test generally tells us if the distribution of participants across categories is different from what would happen if there were no difference between the groups |  | 12 |
| 13753295504 | back-to-back stemplot | Used to compare two sets of data. The leaves for one set of data are on one side of the stem, and the leaves for the other set of data are on the other side. |  | 13 |
| 13753299941 | 68-95-99.7 rule | in a normal model, about 68% of values fall within 1 standard deviation of the mean, about 95% fall within 2 standard deviations of the mean, and about 99.7% fall within 3 standard deviations of the mean |  | 14 |
| 13793350312 | Scatterplot | a graphed cluster of dots, each of which represents the values of two variables |  | 15 |
| 13793037045 | Median | the middle score in a distribution; half the scores are above it and half are below it |  | 16 |
| 13793332128 | standard error of the mean | the standard deviation of a sampling distribution |  | 17 |
| 13793043955 | placebo effect | experimental results caused by expectations alone; any effect on behavior caused by the administration of an inert substance or condition, which the recipient assumes is an active agent. |  | 18 |
| 13793292909 | influential observation | An observation that substantially alters the values of slope and y-intercept in the regression equation when it is included in the computations. | 19 | |
| 13793050116 | Replication | repeating the essence of a research study, usually with different participants in different situations, to see whether the basic finding extends to other participants and circumstances | 20 | |
| 13793064620 | point estimate | a summary statistic from a sample that is just one number used as an estimate of the population parameter |  | 21 |
| 13793290351 | critical value | The dividing point between the region where the null hypothesis is rejected and the region where it is not rejected. | 22 | |
| 13793076614 | random number generator | A tool used to ensure unbiased sampling points are chosen. |  | 23 |
| 13793264222 | Residuals | the difference between an observed value of the response variable and the value predicted by the regression line | 24 | |
| 13793083983 | p-value | The probability level which forms basis for deciding if results are statistically significant (not due to chance). |  | 25 |
| 13793242291 | degrees of freedom | The number of individual scores that can vary without changing the sample mean. Statistically written as 'N-1' where N represents the number of subjects. |  | 26 |
| 13793089038 | mutually exclusive | Events that cannot occur at the same time. |  | 27 |
| 13793237847 | Chi-square | Involves categorical variables. Looks at 2 distributions of categorical data to see if they differ from each other. | | 28 |
| 13793095528 | sample of convenience | a sample that is not drawn by a well-defined random method |  | 29 |
| 13793227897 | sampling distribution | the distribution of values taken by the statistic in all possible samples of the same size from the same population |  | 30 |
| 13793140182 | cause and effect | The reason something happens and the result of it happening. |  | 31 |
| 13793206291 | Law of Large Numbers | the larger the number of individuals that are randomly drawn from a population, the more representative the resulting group will be of the entire population |  | 32 |
| 13793162814 | normal probability plot | a display to help assess whether a distribution of data is approximately normal; if it is nearly straight, the data satisfy the nearly normal condition |  | 33 |
| 13869612396 | expected value | The mean of a probability distribution. |  | 34 |
| 13869622726 | response variable | measures an outcome of a study |  | 35 |
| 13869631328 | explanatory variable | independent variable | | 36 |
| 13869640512 | One-sample t-test for the mean | 1. σ is unknown 2. SRS 3. observations have a normal distribution or n is large (>40) |  | 37 |
| 13870408228 | Median | the middle score in a distribution; half the scores are above it and half are below it | | 38 |
| 13871042441 | Logistical error | Its the tests fault | 39 | |
| 13871081468 | Conceptual Error | You Basically dont know anything | 40 | |
| 13871093153 | Rubric Errors | 41 |
