Terms : Hide Images
| 6335406914 | A statistic that is the defined as the 75th percentile | Q3 | 0 | |
| 6335413187 | Cluster sample | Separating the population into heterogeneous groups and sampling an entire cluster. | 1 | |
| 6335413188 | Stratified sample | Separating the population into homogeneous groups and sampling a small portion of each group. | 2 | |
| 6335417304 | non response bias | Not being able to reach individuals who were randomly chosen to be in your sample | 3 | |
| 6335420424 | bias | A method of sampling that consistently over- or underestimates the value you want to estimate | 4 | |
| 6335422129 | voluntary response bias | Obtaining a sample by putting out a general invitation and using whoever chooses to respond | 5 | |
| 6335424689 | How to increase power | increase alpha, sample size and effect size | 6 | |
| 6335427350 | How to decrease bias | no can do | 7 | |
| 6335430238 | How to decrease variability | increase sample size | 8 | |
| 6335439685 | Left skewed distribution | insert image of histogram | 9 | |
| 6335441931 | Right skewed distribution | insert image of boxplot | 10 | |
| 6335448241 | Type I error | incorrectly rejecting the null | 11 | |
| 6335450003 | Type II error | incorrectly not finding evidence for Ha | 12 | |
| 6335450004 | Power | correctly rejecting the null hypothesis | 13 | |
| 6335471792 | The median of the first half of the data | Q1 | 14 | |
| 6335494151 | mutually exclusive events | Events that have no common outcomes; cannot occur together | 15 | |
| 6335494152 | conditional probability | Probability that one event occurs knowing another one already occurred | 16 | |
| 6335494153 | Independent events | The occurrence of one event does not change the probability of the other event | 17 | |
| 6335510258 | sample proportion |  | 18 | |
| 6335512442 | population proportion |  | 19 | |
| 6335514265 | sample mean |  | 20 | |
| 6335514266 | population mean |  | 21 | |
| 6335518830 | The 10% rule allows us to | calculate the standard deviation of the sampling distribution | 22 | |
| 6335523585 | The Large Counts condition allows us to conclude | the shape of the sampling distribution of p hat is approximately normal | 23 | |
| 6335526983 | The Central Limit Theorem allows us to conclude | the sampling distribution of x bar is approximately normal when the sample size is at least 30. | 24 | |
| 6335540241 | Chi-Square for homogeneity answers this question... | Is the specified distribution of the variable correct? | 25 | |
| 6335540242 | Chi Square for independence answers this question.... | Is the distribution of the variable the same for all the populations? | 26 | |
| 6335544989 | Chi Square goodness of fit answers this question ... | Is there an association between the two variables? | 27 | |
| 6335578842 | Degrees of freedom for a t-test | n - 1 | 28 | |
| 6335587125 | Degrees of Freedom for chi-square goodness of fit test | number of categories - 1 | 29 | |
| 6335597956 | Degrees of freedom for chi-square test for homogeneity | (number of rows - 1)(number of columns - 1) | 30 | |
| 6335610881 | How to describe a graphical display of one variable quantitative data | Shape Outliers Center Spread | 31 | |
| 6335615496 | How to display one variable quantitative data | boxplot stemplot histogram dotplot | 32 | |
| 6335620073 | How to display two variable quantitative data | scatterplot | 33 | |
| 6335627663 | When the p-value < alpha | yey! We found convincing evidence for Ha | 34 | |
| 6335633204 | When the p-value is > alpha | we're sad because we didn't find evidence of what we are looking for. | 35 | |
| 6335644349 | Experiment | imposes a treatment on subject and measures variables of interest | 36 | |
| 6335644350 | Observational Study | measures variables of interest with no influence on subject | 37 | |
| 6335673440 | What happens to the standard deviation of a random variable when you add a constant? | Nada | 38 | |
| 6335673441 | What happens to the mean of a random variable when you multiply by a constant. | It increases/decreases by a factor of that constant. | 39 | |
| 6386129125 | How to describe a graphical display of two variable quantitative data | Direction Outliers Form Strength | 40 | |
| 6386132171 | How to display categorical data | Bar graph Pie Chart | 41 |
