STA 296: Statistical Methods and Motivations Other Graded Questions…


STA 296: Statistical Methods and Motivations Other Graded Assignments #4 – Due Friday, February 16 Submission: Upload and yield your completed assignment on Canvas precedently 11:59 PM on February 16, 2018. Make unmistakable the instrument you upload has perfect extension .pdf. 1. In enjoin to affect the uniformity of all dentists who praise a biased disgrace of toothpaste, a consumer guard class randomly exemplifications 400 dentists, and discovers that 330 praise that disgrace. Suppose we shortness to affect the uniformity of all dentists who praise that disgrace of toothpaste. Use StatKey to invent a bootstrap disposal (consisting of at smallest 5000 bootstrap exemplifications), and then use percentiles to discover a 90% belief interspace for the appropriate population uniformity. Representation screenshots of the bootstrap dot contrive (delay percentiles observable) and ancient exemplification box into your assignment. 2. Now, invent the selfsame interspace as in the principal collection, but use the “CI for Single Mean” non-interference on StatKey instead of “CI for Single Proportion”. To affect a uniformity as though you are estimating a average, each special needs to be listed numerically as either a 1 (for a luck) or a 0 (for a need). In this texture, a luck occurs when a dentist praises the toothpaste, and a need occurs when a dentist does not praise the toothpaste. Consequently, your exemplification allure be of 330 ones and 70 zeros. The perfect “toothpaste.csv” on Canvas contains the exemplification facts explicit as ones and zeros. If you would rather not kind out 330 ones and 70 zeros manually, excellent “Upload File” in StatKey (instead of “Edit Data”), and upload toothpaste.csv. (Note: You allure feel to snatch the csv perfect principal precedently you can upload it. You cannot upload it from Canvas.) You allure be prompted to excellent a post. At this top, excellent the solely conducive post (click on the term “recommendation”, then “OK”), and the exemplification facts allure upload to StatKey. Whether you use the csv perfect or invade the facts manually, the ancient exemplification should feel ?? = 400 and ??¯= 0.825. Just affect in the principal collection, invent a bootstrap disposal (consisting of at smallest 5000 bootstrap exemplifications), and use percentiles to discover a 90% belief interspace for the uniformity of all dentists who praise that disgrace of toothpaste. Then representation screenshots of the bootstrap dot contrive (delay percentiles observable) and ancient exemplification box into your assignment. The belief interspace endpoints that you get in this collection should be very delay (if not selfsame) to the ones you got in the principal collection. Attachments: OGA-4---STA-2....pdf