Many students brag that they have more than 150 friends on a social media platform. For a class project, a group of students asked a random sample of 13 students at their college who used the social media platform about their number of friends and got the data available below. Is there strong evidence that the mean number of friends for the student population at the college who use the social media platform is larger than 150? Use the Inference for a Population Mean web app to complete parts a through d below. Be sure to use the data in this exercise and not the preloaded data when using the web app. Click the icon to view the data about the numbers of friends. a. Identify the relevant variable and parameter. What is the relevant variable? O A. The proportion of students at the college who use the social media platform that have more than 150 friends OB. The mean number of friends that students have on the social media platform OC. The mean number of students at the college that use the social media platform O D. The number of friends that students have on the social media platform O E. The number of students that use the social media platform

1. What is the value of (X)2 for the scores 1, 5, 2? 2. What is value of X² for the scores 1,0,2,4?

3.3-4

2. What do the following pictures tell you about the value of H F Fl 2 3 ( 3 ) + ( ² ) ² + ( - ) ² + ( ²3 ) * + . +...?

3) ƒ(x) = 2 -6 -4 (9) -2 20 18 16 14 12 10 e 2 4 6 x

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A frequency distribution is shown below. Complete parts (a) and (b). ents The number of televisions per household in a small town Televisions 1 3 Esour Households 28 442 726 1407 Ccess (a) Use the frequency distribution to construct a probability distribution. P(x) access 1 la Librai 3. = Options (Round to three decimal places as needed.)

22. |8r-12|=6(t-1) 4 24. |7y - 3| + 1 = 0

The correlation coefficient r is a sample statistic. What does it tell us about the value of the population correlation coefficient ? (Greek letter rho)? You do not know how to build the formal structure of hypothesis tests of ? yet. However, there is a quick way to determine if the sample evidence based on ? is strong enough to conclude that there is some population correlation between the variables. In other words, we can use the value of r to determine if ? ≠ 0. We do this by comparing the value |r| to an entry in the correlation table. The value of ? in the table gives us the probability of concluding that ? ≠ 0 when, in fact, ? = 0 and there is no population correlation. We have two choices for ?: ? = 0.05 or ? = 0.01.   (a) Look at the data below regarding the variables x = age of a Shetland pony and y = weight of that pony. Is the value of |r| large enough to conclude that weight and age of Shetland ponies are correlated? Use ? = 0.05. (Round your answer for r to four decimal…