Confidenhce leagues within FCS, the Patriot League, played 4 games that weekend. Their mean was 8.75. exercise in Chapter 7. we asked whether college foot- ball teams tend to be more likely or less likely to be mismatched in the a. Calculate the 95% confidence interval for this sample. National Collegiate Athletic b. State in your own words what we learn from this confidence interval. upper Association (NCAA) divisions. During one week of a college football scason, the population of 53 Toot- ball Bowl Subdivision (FBS) games had a mean spread (winning score minus losing score) of 16.189, with a standard deviation of 12.128. We took a sample of 4 games that were played that week in the next-highest league, the Football Championship Subdivision (FCS). to see if the spread were different: one of the many c. What information does the confidence interval give us that we also get from a hypothesis test? d. What additional information does the confidence interval give us that we do not get from a hypoth- esis test? 8.50 Confidence intervals and football wins (contin- ued): Using the football data presented in Exercise 8.49, practice evaluating data using confidence intervals. a. Compute the 80% confidence interval, b. How do the conclusion and the confidence interval change as you move from 95% confidence to 80% confidence? c. Why don't we talk about having 100% confidence?

Q: Solve                 2   =   X-500/ 85

A: Firstly, we add 500/85 on both sides  and then by adding 2+500/85, we get the required result.

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A: Solve  5x =-5 3

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A: Bronte walks 1.5 miles on a trail. Then he jogs at a speed of 5 miles per hour.Bronte's total…

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A: We can solve the quinary number system problem as below.

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A: Given the differential equation y" + 49y = 0 The auxiliary equation is m2 + 49 = 0

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Equations and Inequations

Equations and inequalities describe the relationship between two mathematical expressions.

Linear Functions

A linear function can just be a constant, or it can be the constant multiplied with the variable like x or y. If the variables are of the form, x2, x1/2 or y2 it is not linear. The exponent over the variables should always be 1.