For the following questions please use PHM553_ass1_2021_changed, which contains variable labels

Create a histogram for weight, stratified by sex with Stata. The y-axis should reflect proportions in %. Copy and paste the histogram and the corresponding command below. Remember to label axis and title. [2 marks].

Create a scatter diagram for age against weight using Stata. Copy and paste the scatter diagram and the corresponding command below. Remember to label axis and title.

Create the same scatter diagram as for #5, however excluding all participants with an Hb of less than 10g/dL

Assume weight is normally distributed. Calculate the appropriate measure of location and either the 95%CI or IQR depending on the measure of location you selected.

Age is not normally distributed. Calculate the appropriate measure of location and either the 95%CI or IQR depending on the measure of location you selected.

Present age in a suitable graph for non-normally distributed data. Copy and paste the graph and the corresponding command below. Remember to label axis and title.

Not given in the database is Height (in cm). Assume that height is normally distributed, with a mean height of 175 cm and a standard deviation of 4.5 cm. What proportion of the population would you expect to have a height greater than 180 cm? Show your calculations

In less than 100 words explain the central limit theorem, using plain language

Does the weight between males and females in the provided database differ significantly? Make sure to use the correct test. Copy and paste the Stata command and output below. In one sentence summarize your interpretation of the output.

Does the age between males and females in the provided database differ significantly? Make sure to use the correct test. Copy and paste the Stata command and output below. In one sentence summarize your interpretation of the output.