1). A new company called "Fad-Diets R Us" have just come out with a new weight loss plan.This company claims that their special "G.O.A.T." dietwill help you loose more weight compared to currently available diet plans used by the population. According to existing data, the population of dieters using various weight loss methodsloose a mean weight () of 10.65 lb per month.

Using the variable "GOAT_Sample" conduct a one-tailed, one-sample t-test, at = 0.05,to determine if theG.O.A.T diet helps people lose significantly more weight per month compared to the other methods used by the population of dieters.

Use Google Sheets bar graph that displays the population and sample means (with error bars depicting theSE)for thet-Test you've just conducted. Adjustyour y-axis (i.e., the vertical axis) to range between 5 and 12by increments of 1. Be sure to add a comprehensive graph title, a y-axis titlestating the variable being considered (i.e., weight lost)andunits of measurement (pounds / lb), and labels for your sample and population on the x-axis (i.e., the horizontal axis).

Upload a screenshot of your completed graph here.

2). Suppose a tech company claims that, on average, their professional-level employee's beginning salary is ( = $7,000) a month. Using the variable "salbeg" conduct a two-tailed, one-sample t-test, at = 0.05, on the random sample of new employees to see if the company is paying them what they claim.

Use Google Sheets bar graph that displays the population and sample means (with error bars depicting theSE)for thet-Test you've just conducted. Adjustyour y-axis (i.e., the vertical axis) to range between 5,500 and 7,500 by increments of 500. Be sure to add a comprehensive graph title, a y-axis titlestating the variable being considered (i.e., monthly salary)andunits of measurement (dollars), and labels for your sample and populationon the x-axis (i.e., the horizontal axis).

Upload a screenshot of your worksheet setup and the completed graph here.

3). Suppose atech companyclaims that all of their new employees at the professional level start with roughly the same monthly salary. Using the variables "salbeg" as your dependent variable and "sex" as your grouping variableconduct a two-tailed, independent-sample t-Test, at = 0.05, to see if male and female new employees start with comparable monthly salaries.

Using Google Sheets graph that displays mean salary (with error bars depicting theSE) for males and females for our sample of tech company employees. Adjustyour y-axis (i.e., the vertical axis) to range between $3,000 and $10,000by increments of 500. Be sure to include a comprehensive graph title, a y-axis titlestating the variable being considered (i.e., monthly salary)andunits of measurement (dollars), and labels for females and males on the x-axis (i.e., the horizontal axis).

Upload a screenshot of your worksheet setup and the completed graph here.