You are doing research on balance and fitness. To complete this research you will need a watch with a second hand. Identify a random sample

You are doing research on balance and fitness. To complete this research you will need a watch with a second hand. Identify a random sample of n = 12 men and n = 8 women. You must answer this question: How do you establish that this sample is truly random? STEP 2: Have each subject perform the following task: a) Have the subjects stand with their hands at their side, raise one knee, cross their ankle over the other knee, squat and bring their hands palms together in front of their chest. Time the subject until they put their foot back down on the floor. b) Ask the following questions: i) How many days per week do they exercise? ii) What is their favorite exercise? STEP 3: You will analyze your data and compute the following statistics for each group: 1) The Mean and standard deviation of the number of seconds the subject stayed balanced 2) The Median number of days per week exercised 3) The Mode of the favorite exercise 4) The 90% confidence interval of the mean STEP 4: Construct a complete hypothesis test and determine if the two groups have significantly different balance using α = 0.05. STEP 5: Write a one page introduction to your research, discuss how you selected your sample (is it a random sample?) and write a one page conclusion. Present your data in an organized manner.

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  1. Answer:

    It should be a 2 sample t-test for the sample mean mu 1 – mu 2 at alpha = 0.05.

    Step-by-step explanation:

    To solve, you can just insert the data values into a graphing calculator and it should work. Remember to check the conditions and write out the null and alternate hypotheses.

    Null: mu 1 – mu 2 = 0 There is no difference

    Alternate: mu 1 – mu 2 =/= 0 There is a difference

    Conditions:

    -Random sample? Yes b/c assume that it is from a simple random sample.

    -10%? Assume that there are more than 120 men and 80 women in the population”

    -Normal Distribution? If the data for each respective sample is approx normal, assume they come from a normally distributed population. Large counts and the central limit theorem do not work here.

    After this, insert ur data values into the graphing calculator n solve for p.

    Once you get p, make a conclusion based on alpha = 0.05. If p is less than alpha, you can reject the null and conclude that you have significant evidence that the alternate is true. If p is greater than alpha, you cannot reject the null and conclude that you do not have significant evidence that the alternate is true.

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