863 WordsNov 30, 20134 Pages

6. During the2007-2008 NCAA college basketball season, men’s basketball teams attempted an all-time-high number of 3-point shots averaging 19.07 shots per game. In an attempt to discourage so many 3-point shots and encourage more inside play, the NCAA rules committee moved the 3-point line back from 19 feet, 9 inches to 20 feet, 9 inches at the beginning of the 2008-2009 basketball season.
a. What is the means number of 3-point shots taken per game?
350/19 = 18.42105 = 18.42
b. What is the means number of 3-point shot made per game?
120/19 = 6.315789 = 6.32
c. Using the closer 3 point line, players were making 35.2% of their shots. What percentage of shots were players making from the new 3-point line?
120/ 350 = 0.343 = 34.3%
d. What was the impact of the NCAA rules change that moved the 3-point line back to 20 feet, 9 inches for the 2008-2009 season? Would you agree with the Associated Press Sports article that stated. “Moving back the 3-point line hasn’t changed the game dramatically”? Explain
The impact shows -.65% which is not a huge reduction. I agree that moving the 3-point line hasn’t changed the game much.
31. The national average for the math portion of the College Board’s SAT is 515. The College Board periodically rescales the test score such that the standard deviation is approximately 100. Answer the following questions using a bell shaped distribution and the empirical rule for the verbal test scores.
a. What percent of students have an SAT math score greater than 615?
615 – 515/ 100 = 1
P [Z > 1] = 0.5 – P [Z < 1] (greater than or equal to)
= 0.5 – 0.3413
= 0.1587
= 15.87%
b. What percent of students have an SAT math score greater than 715?
715-515/ 100 = 2
P [Z > 2] = 0.5 – P [Z < 2] (greater than or equal to)
=0.5 – 0.4772
P (X > 715) = 0.0228
2.28%
c. What percent of students have an SAT math score

Related

## Statistics Essay

2716 Words | 11 Pagessome common measures of central tendency known as descriptive statistics and we will also characterise the total outcome of the Mood Questionnaire. Stem and leaf graphs, boxplots, cross tabulation and Cramer’s V will also be used to complete the analysis. Chi-squared test will be used to test the (null) hypothesis i.e. if there is any association between smoking cessation and mood fluctuation. Results: Table 1 Descriptive statistics for total of Mood Questionnaire: Total of Mood Questionnaire

## Statistics Essay

911 Words | 4 PagesClass Assignment Two Elementary Statistics: Picturing the World MTH 233 Raj Kayathi Chapter 6 The following data set represents the repair cost (in dollars) for a random sample of 30 dishwashers (adapted from Consumer Reports) 41.82 90.07 100.05 118.77 52.81 90.35 101.32 119.01 57.80 91.68 103.59 120.70 68.16 91.72 104.19 140.52 73.48 93.01 105.62 141.84 78.88 95.21 111.32 147.06 88.13 95.34 117.14 88.79 96.50 118.42 (a) Find the point estimate

## Statistics Essay

433 Words | 2 PagesFirstly, Statistics as a subject allows us to explore the use of an array of diagrams in real-life data situations, such as box-and-whisker diagrams and stem-and-leaf diagrams. Also in the syllabus is learning complex, subject-specific vocabulary such as the ‘median’, the ‘inter-quartile range’, and ‘cumulative frequency’. Once students have succeeded in gaining this ground knowledge, their techniques in collecting data in the form of questionnaires fairly can be put to the test in exam. As you can

## Statistics Essay

394 Words | 2 PagesStatistics is information that is gathered to make an education decision. Statistics are numbers that help understand and interpret information. According to XX” statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions”(5 basic). There are 4 levels of statistics, which are nominal measurement, ordinal measurement, interval measurement, and ratio measurement. Nominal level is the oldest and the lowest form of

## Statistics Essay

958 Words | 4 Pagesfor our example .95 .05 Step 4 We use z when the sample size is greater than or equal to 30 (n ≥ 30). We use t when the sample size is less than 30. (n < 30). In our example we will use a Z value for the test statistic and the critical value because there are 45 people in our sample so (n ≥ 30). Step 5 – The critical value is the z score associated with the level of significance in our normal curve. The critical value tells us when we will reject the null

## Statistics Essay

1399 Words | 6 PagesFurthermore, we need a two-sample t-test to identify if females' salary is significant lower than males'. Assuming null hypothesis is that there is no difference between males' salary and females' salary. According to the two-sample t-test, we get the t-statistic is 3.78 and p value is 0.000331. So they are significantly different. We have rejected the null hypothesis that claims that the population means of males and females are equal, and have instead accepted the research hypothesis using the small-sample

## Statistics Essay

3018 Words | 13 PagesApplied Statistics for Health Care Professionals Details This introductory course on statistical concepts emphasizes applications to health care professions. The course is designed to prepare students to interpret and evaluate statistics and statistical methods used in published research papers and to make decisions about the appropriateness of specific statistical methods in a variety of settings. Areas of emphasis include introduction to analysis of variance, regression, and graphical presentation;

## Statistics Essay

1146 Words | 5 PagesElementary Statistics Term Paper Mean Drive Time Before and After 5pm Troy to Chesterfield, MI Math 1340 – Professor Laura Hamilton The topic of this project is the drive time from Troy to Chesterfield. The topic is of interest to me because I drive this every work day of my life and I have a theory that leaving before 5 P.M cuts about 10 minutes off of your drive and leaving after 5 P.M adds about 15 minutes to your drive. The population of my project is anyone driving from Troy to

## Statistic Essay

1182 Words | 5 Pagesmeet with specific geographic characteristics, population growth and career expectations. And whats is more, while making significant food supply decisions, the government will have to carefully assess food demand according to changing population statistics and consumptions, and find an equilibrium in agricultural land use between the opposing forces of preservation and industrial development. From a micro perspective, both government and corporations will need to develop advanced mechanisms and systems

## Statistics Essay

1068 Words | 5 PagesCONSEQUENCES OF FOLLOWING STATISTICS Whatever it is we cannot deny the fact; interpretation of data using statistics is a part of our daily life. A purchaser chooses a product by evaluating the price, country of origin of different brands. It is obvious that without statistics we cannot judge anything. Statistics is helpful in making predictions on reliable data or make an assumption about something, when we have the model figures to compare with. We can differentiate and find the similarity of

### Statistics Essay

2716 Words | 11 Pages### Statistics Essay

911 Words | 4 Pages### Statistics Essay

433 Words | 2 Pages### Statistics Essay

394 Words | 2 Pages### Statistics Essay

958 Words | 4 Pages### Statistics Essay

1399 Words | 6 Pages### Statistics Essay

3018 Words | 13 Pages### Statistics Essay

1146 Words | 5 Pages### Statistic Essay

1182 Words | 5 Pages### Statistics Essay

1068 Words | 5 Pages