Answer: B Statistics and Probability Reporting Category Making Inferences & Justifying Conclusions Standard Benchmark MAFS.912.S-IC.2.5 Number MAFS.912.S-IC.2.5: Use data from a randomized experiment to compare two Benchmark treatments; use simulations to decide if differences between parameters are significant. Also MAFS.912.S-IC.2.6 LAFS.910.WHST.1.1 Assesses LAFS.910.WHST.2.4 LAFS.910.WHST.3.9 MAFS.K12.MP.3.1 MAFS.912.S-IC.1.1 Selected Response (Multiple Choice), Gridded Response, Short Answer Item Types Benchmark Students will understand, create and analyze the null hypothesis and the alternative hypothesis (basics of hypothesis testing). Clarification Students will understand the p-value is the probability of getting a sample statistic in the direction of the alternative hypothesis when the null hypothesis is true. Students will understand p-value rules for decisions to reject or not to reject the null hypothesis. Students will decide whether a Type I error (occurs when you reject the null hypothesis when it is true) and a Type II error (occurs if you do not reject the null hypothesis when it is false) have occurred in the outcome of the hypothesis testing. Content Items may include writing a null and alternative hypothesis for data or interpreting a given null and alternative hypothesis. Limits Items may include stating the hypothesis, identifying the claim, computing the test value, finding the p-value, making a decision on given information and/or summarizing the results. Stimulus Items must be set in mathematical or real-world context. Attribute
Answer: B Reporting Category Statistics and Probability Standard Making Inferences & Justifying Conclusions Benchmark Number MAFS.912.S-IC.2.5 Benchmark MAFS.912.S-IC.2.5: Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant. Also Assesses MAFS.912.S-IC.2.6 LAFS.910.WHST.1.1 LAFS.910.WHST.2.4 LAFS.910.WHST.3.9 MAFS.K12.MP.3.1 MAFS.912.S-IC.1.1 Item Types Selected Response (Multiple Choice), Gridded Response, Short Answer Benchmark Clarification Students will understand, create and analyze the null hypothesis and the alternative hypothesis (basics of hypothesis testing). Students will understand the p-value is the probability of getting a sample statistic in the direction of the alternative hypothesis when the null hypothesis is true. Students will understand p-value rules for decisions to reject or not to reject the null hypothesis. Students will decide whether a Type I error (occurs when you reject the null hypothesis when it is true) and a Type II error (occurs if you do not reject the null hypothesis when it is false) have occurred in the outcome of the hypothesis testing. Content Limits Items may include writing a null and alternative hypothesis for data or interpreting a given null and alternative hypothesis. Items may include stating the hypothesis, identifying the claim, computing the test value, finding the p-value, making a decision on given information and/or summarizing the results. Stimulus Attribute Items must be set in mathematical or real-world context.