On a spreadsheet should have 20 ‘height’ values listed below, along with my height of 64 inches as the ‘x’ value. And then remember, you’re going to

On a spreadsheet should have 20 "height" values listed below, along with my height of 64 inches as the "x" value. And then remember, you're going to find the mean and the sample standard deviation. Give us a background. People that you chose maybe come up with an Excel spreadsheet. Where do you have? You don't have to give names like personal information, but you could do gender, age, location. And then of course, let us know their heights. How did you choose your participants? Was it a systematic sampling method, was a convenience? Was it cluster stratified? And let me clarify one thing. I know that I said in my lecture, the convenience is not always the best, but it's still, It's still used very octets. So don't feel that you're going to get points taken off just because he used a convenient sample. Okay. But I want you to know what a convenience sample is and make sure that you're choosing the right sampling method that describes what you did to gather data. Okay, so you're going to answer these questions. Then you're going to use the empirical rule. So you're very comfortable with this now, since we just did it, you're going to put in the mean and the sample standard deviation. And tell me what these values tell you about the heights of the people in your study posted a screenshot of your work, then you're going to use the normal distribution, okay, which we've used. And you're going to post a screenshot comparing your height. So you want to make sure to know how tall you are. And so you're going to put how tall you are in for x (64 inches), the mean, and a standard deviation based off the 20 values. And then tell me what this means, and that's it.

**These spreadsheets are examples of what should be used for the height data (inches per person)…60, 60, 62, 64, 65, 65, 65, 66, 67, 67, 68, 68, 69, 71, 71, 72, 72, 73, 74, 75

**answer questions about the spreadsheet explanation in a word document with APA references

*use of probability & normal distribution

*use excel spreadsheets & interpret results