
Definition of null hypothesis from the textbook
Definition of alternative hypothesis from the textbook
Imagine this: you suspect your beloved Chicken McNugget is shrinking. Inflation is hitting everything else, so why not the humble nugget too, right? But your sibling thinks you’re just being dramatic—maybe you’re just extra hungry today. Determined to prove them wrong, you take matters (and nuggets) into your own hands. You march into McDonald’s, get two 20-piece boxes, and head home like a scientist on a mission. Now, before you start weighing each nugget like they’re precious gold nuggets, let’s talk hypotheses. The average weight of nuggets as mentioned on the box is 16 g each. Develop your null and alternative hypotheses separately. Next, you weigh each nugget with the precision of a jeweler and find they average out to 15.5 grams. You also conduct a statistical analysis, and the p-value turns out to be 0.01. Based on this information, answer the following questions. (Remember, the rule is that when p-value is less than 5% or 0.05, you reject the null hypothesis)
What is your null hypothesis for studying the weight of McNuggets?
What is your alternative hypothesis for studying the weight of McNuggets?
The stated weight of nuggets is 16 g, but the actual mean weight turns out to be 15.5 g, and the p-value is 0.01. What do you conclude regarding the null hypothesis based on these results?
How would you explain these results to your sibling in layman's terms?
Provide definitions of Type I and Type II errors.
Discuss which type of error (Type I and Type II) is present in the following scenarios. Provide explanation for your answers.
A person is experiencing symptoms of COVID-19, but the laboratory test results are negative.
You are attending a class, and the fire alarm goes off, but there is no fire.
There is a fire in a building, but the fire alarm does not sound.

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