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| 14024163648 | What are 3 ways to reduce margin of error? | 1. Increase sample size (n) 2. Use a lower level of confidence 3. Reduce σ | 1 | |
| 14024163649 | What statement is used to conclude a confidence interval? | I am _____ % confident that the true mean/proportion of (context) is between ______ and ______. | 2 | |
| 14024163650 | 1 Prop Z Conditions | 1. SRS 2. Pop10xlgr 3. np ≥ 10 4. n(1-p) ≥ 10 | 3 | |
| 14024163652 | 2 Prop Z Conditions | 1. SRS 2. Pop10xlgr 3. n1p1 ≥ 5 n1(1-p1) ≥ 5 4. n2p2 ≥ 5 n2(1-p2) ≥5 | 4 | |
| 14024163678 | 1 Samp T Conditions, 2 Samp T, Paired T Conditions | 1. SRS (Indep) 2. n≥30 CLT 3. Show data is approx normal. Histogram or NPP | 5 | |
| 14024163679 | Chi-Square GOF Conditions, Chi-Square Homogeneity or Independence Conditions | 1. SRS 2. Expcts ≥ 5 3.No Expcts < 1 *4*. Matrix B | 6 | |
| 14024163680 | Linear Regression T Test Conditions | 1. SRS 2. Scatterplot linear + Residual Plot random | 7 | |
| 14024163651 | How do you interpret a confidence interval? | If you took all possible samples of size n, the true parameter would fall in about ____% of them. | 8 | |
| 14024163653 | 1-VarStats | To find mean, SD, and 5 number summary for a data set | 9 | |
| 14024163654 | LinReg(a+bx) | To find the equation for a least squares regression line & to find r and r^2 | 10 | |
| 14024163655 | binompdf | To find the probability of getting EXACTLY X successes in a binomial setting | 11 | |
| 14024163656 | binomcdf | To find the probability of getting AT MOST X successes in a binomial setting | 12 | |
| 14024163657 | normalcdf | To find an area for an interval in a normal distribution | 13 | |
| 14024163658 | invNorm | To find a boundary value in a normal distribution | 14 | |
| 14024163659 | tcdf | To find an area for an interval for a t-distribution | 15 | |
| 14024163660 | invT | To find a boundary value in a t-distribution | 16 | |
| 14024163661 | x^2cdf | To find area for an interval in a x^2 distribution | 17 | |
| 14024163671 | X^2 GOF-Test | To test a claim made about the distribution of a categorical variable (Chi-square GOODNESS-OF-FIT test) | 18 | |
| 14024163672 | X^2-Test | To test a claim made about the distribution of a categorical variable (Chi-square test of homogeneity & Chi-square test of independence) | 19 | |
| 14024163673 | LinRegTTest | To test a claim made about the SLOPE of a POPULATION REGRESSION LINE | 20 | |
| 14024306320 | chi-square goodness of fit test statistic + Homo/Indep |  | 21 | |
| 14024315887 | Linear Regression T Test Statistic |  | 22 | |
| 14024322595 | 1 Proportion Z Test Statistic |  | 23 | |
| 14024326821 | 2 Proportion Z Test Statistic |  | 24 | |
| 14024337273 | 1 Sample T Test Statistic |  | 25 | |
| 14024341349 | 2 Sample T Test Statistic |  | 26 | |
| 14024163646 | When do you use t*? | Means when you don't know the population standard deviation. | 27 | |
| 14024347012 | Paired T Test Statistic |  | 27 |
