Is Goblins free for teachers?

Yes. Goblins offers a generous free tier that includes 1 live feedback assignment per week, insights on student mastery and replays, and the ability to upload your own content. The Max plan adds unlimited assignments, superadaptive mode, grade exports, standards growth reports, and SSO/LMS integration, with per-student pricing for schools and districts.

How does Goblins work?

Three simple steps: (1) Share an assignment from thousands of standards-aligned topics using a share code. (2) Students speak and draw their thinking naturally, and Goblins responds with Socratic questioning that sounds just like their teacher. (3) Teachers get real-time formative insights showing what students struggle with and suggestions to inform instruction.

Does Goblins prevent cheating?

Yes. Goblins uses a purpose-trained AI model that evaluates cheating signals in real time. It can detect when students are copying answers, using external tools inappropriately, or not genuinely working through problems. Copy-pasting answers is also blocked.

Can I use my own voice with Goblins?

Yes. Teachers can record their voice and take a selfie to create a custom 3D avatar in about 30 seconds. Students then hear help in their own teacher's voice and see a familiar face, making the experience more personal and effective.

What math levels does Goblins cover?

Goblins covers math from Grade 5 through AP Calculus, including thousands of standards-aligned topics. Teachers can also upload their own content for custom assignments at any level.

Is Goblins FERPA compliant?

Yes. Goblins is FERPA and state compliant. Student data privacy and security are a top priority.

Does Goblins support English Language Learners?

Yes. Goblins supports 30+ languages so teachers don't have to translate every worksheet. It is especially helpful for ELL students who need accessible math instruction in their native language.

What grade level is S-IC taught?

This standard is part of the S-IC curriculum in Alaska Mathematics Standards.

S-IC: Making Inferences and Justifying Conclusions

Making Inferences and Justifying Conclusions

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Making Inferences and Justifying Conclusions treats statistics as a formal process of reasoning from samples to populations. Simulation, randomization, and understanding sampling variability underpin the logic of statistical inference. Reports and studies are evaluated for design quality, bias, and the validity of their conclusions.

S-IC.1Understand statistics as a process for making inferences about population parameters based on a random sample from that population.S-IC.2Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation. For example, a model says a spinning coin falls heads up with probability 0.5. Would a result of 5 tails in a row cause you to question the model?S-IC.3Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.S-IC.4Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.S-IC.5Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.S-IC.6Evaluate reports based on data.

Example Problems

What is the critical value

z^{*}

for constructing a 90% confidence interval?

A restaurant states that no more than 10% of its takeout orders are prepared incorrectly. A food blogger thinks the true error rate is higher. They sample recent orders to investigate.

Let

p

represent the proportion of incorrect takeout orders.

State the null hypothesis,

H_0

, for this test.

The parks department will repaint 5 of 50 trail markers. They number the markers

01-50

and use the random digit table printed below to choose a simple random sample.

Which markers are in the sample?

76054, 41328, 37961, 20584, 43310

What is the critical value

z^{*}

for constructing a 95% confidence interval?

Priya was testing

H_0: \mu = 20

versus

H_a: \mu < 20

with a sample of 12 observations. Her test statistic was

t = -2.228

. Assume that the conditions for inference were met.

What is the approximate P-value for Priya's test?
Round your answer to the nearest thousandth.

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