AdServe is an in-app video advertising company. The company…
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AdServe is аn in-аpp videо аdvertising cоmpany. The cоmpany offers a platform that embeds video ads in mobile apps to encourage users to download and install additional apps. When a user launches an app, his or her device sends a request to AdServe for an ad. For instance, suppose Malcolm is playing the game Sonic Dash. AdServe’s platform determines the best ad to serve to Malcolm while he plays Sonic Dash. Suppose AdServe decides to serve Malcolm an ad for the game Hay Day. Assuming Malcolm is still playing Sonic Dash when the ad is served, he sees the video for Hay Day. If Malcolm is interested in learning more about Hay Day, he clicks on the ad and is redirected to the app store. He might then decide to install Hay Day. On a typical day, using its current ad-serving algorithm (Algorithm A), AdServe experiences a 5% click-through rate. Analyzing consumer data, AdServe has realized that small improvements in click-through rates could have a large effect on the firm’s revenue. Realizing this, the company has developed a new ad-serving algorithm (Algorithm B) that could potentially improve the click-through rate. The company now wants to test whether the click-through rate of the new algorithm is significantly different from that of the existing algorithm. As is typical in such experiments, the two conditions, A (AdServe’s existing algorithm) and B (the new algorithm) would be evaluated in parallel on randomly assigned users. a. (5 points) Develop a null and an alternative hypothesis to examine whether the performance of the new algorithm (Algorithm B) is different than that of the existing algorithm (Algorithm A) in affecting the click-through rate. b. (5 points) You used an independent sample t-test to test the hypotheses. Below is the test result. Do you think AdServe should adopt the new algorithm? Why or why not? Average CTR of algorithm A: 0.0492 Average CTR of algorithm B: 0.0506 t = - 1.030 p-value = 0.3030
This finаl exаm questiоn is designed tо fоllow а typical FELE written format and will be worth half of your final exam score. The written response will be evaluated for content accuracy, data trend analysis, organization, appropriate audience level and grammar. In addition, the FELE Rubric will be used to assign a grade for this mid-term. Student Reading assessment data for a set of three 4th grade teachers at Florida Elementary School have been compiled in the table below. The class size and composition is nearly equivalent for all three teachers. Year 3 is the current school year. Florida Elementary Student Assessment Data Grade 4 Reading The principal of Florida Elementary has given you, the assistant principal, the task of analyzing the data presented in the table. Using this information, you are to create a summary for the principal with professional development recommendations about the 4th grade reading student achievement results. The summary should include: identification of a data trend for each of the three teachers and an analysis of the overall data; a summary of the data to support the selection of one teacher in need of focused professional development; professional development related to the teacher’s area(s) in need of improvement in order for the teacher to develop targeted instructional strategies to improve student learning gains during; and a plan to monitor the implementation of the new instructional strategies in the teacher’s classroom. FELE Rubric-3.pdf