Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 53 bank accounts, we want to take a random sample of four accounts in order to learn about the population. How many different random samples of four accounts are possible?

Explain the difference between a stratified sample and a cluster sample. (Select all that apply.) In a stratified sample, random samples from each strata are included In a stratified sample, every sample of size n has an equal chance of being included. In a stratified sample, the clusters to be included are selected at random and then all members of each selected cluster are included In a cluster sample, every sample of size n has an equal chance of being included. In a stratified sample, the only samples possible are those including every kth item from the random starting position In a cluster sample, the only samples possible are those including every kth item from the random starting position In a cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included. In a cluster sample, random les from each strata are included.

Simple random sampling uses a sample of size n from a populaiton of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 50 bank accounts, we want to take a random sample of four accounts in order to learn about the population. how many different random samples of four accounts are possible?  Show steps in Excel

A biologist wants to determine if different temperatures (15oC, 25oC, or 35oC) and amounts of sunlight (partial or full) will affect the growth of plants. He will test each combination of temperature and sunlight by randomly assigning 15 plants to each of the combinations. What type of sampling is described in this study? one sample paired data two samples more than two samples

A farmer wants to know whether or not the sizes of Christmas trees differ between two separate fields on opposite sides of the farm (different elevation). In order to test this, he plants a number of trees in each field and measures them all after 2.5 years of growth. He then takes a random sample from each field and this is what he found: Group 1: Higher Elevation, N=25, Mean=3.3 ft, S=0.55 ft Group 2: Lower Elevation, N=23, Mean= 3.1, S=0.45 ft   Please calculate the test statistic and pvalue. What can be concluded?  Support your answer. Please calculate the 95% confidence interval Interpret the interval. What can be concluded?  Support your answer.

8.4 Q5) Hey! Need help with the following three part question, thank you!