Question

EXPLAIN THE METHOD!!!!! Don't try to solve it, just explain!!! I have the data organized in MATLAB and need to understand the general method of creating and testing hypotheses as outlined:

select a city within US and find the daily average reported temperature data for year 2016 and 2017. you should

1) Conduct hypothesis test by comparing monthly average between the two year

2) Within each year, run a appropriate hypothesis comparing June and August.

Part II of this portion requires you create a simple linear model for the following data attached. The data includes 27 students' weight and their corresponding height. You should

1) run a descriptive statistical analysis unto both the height and the weight.

2) Choose appropriate dependent variable and independent variable to model the relationship between weight and height. Please quantify your model with appropriate variables calculated based on your data.

Answer 1

1) The null and alternative hypothesis is

H₀ : daily average reported temperature data for year 2016 and 2017 is equal

H₁ : daily average reported temperature data for year 2016 and 2017 is not equal

2) The test hypothesis is z-test becuase the sample size greater than 30.

Part II
1) FOr descriptive statistical analysis unto both the height and the weight, we can find the mean, median, maximum, minimum and quantile for the given data set.

2) dependent variable is weight and independent variable is height.