# Introduction to Statistics Using the TI-83 Graphing Calculator. Dr. Robert Knight

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1 Introduction to Statistics Using the TI-83 Graphing Calculator By Dr. Robert Knight This document is a working text that is designed specifically for the course of Introductory Statistics that I teach. In writing this booklet I have presented problems which we will cover in class and methods of solution which I think are the best and most straight forward. This working text is meant to be used in conjunction with the class lecture and required textbook. Also included are sample problems, midterms and final examinations. I urge students to work in study groups and to meet regularly to go over homework and test questions. If you have a question about the course or need to contact me, my e- mail address is

2 Chapter 1 Sampling Methods 2

3 Data and Lists When doing homework and taking tests, you will need to put lists of information (DATA) into your calculator. Do this by pressing STAT 1:Edit With the cursor in this position you are ready to enter data into List 1(position 1) by typing the number and pressing ENTER. Now enter the numbers that appear in the stem leaf plot below into list When you finish your List 1 should look like this. The L1(13) tells you the next entry is the 13 th in List 1. Hence, there are 12 entries present now. You can use the up arrow and scroll to the top of List 1 to the 1 st entry. You can see that the 1 st entry in List 1 is the number 41 Replace the number 41 with the number40 by typing 40 with the cursor in this position and pressing ENTER. 3

4 If you make a mistake you can overwrite the entry as we just did above. Sometimes you might put too many numbers into your list. To get rid of one of them, go to the number you want to delete and press DEL (delete). Try deleting the number 45 from your list. Now let s say you forgot one of the numbers and you want to put the number into the list in a specific location. Place the cursor where you want the number to be placed and press INS (insert). Now try inserting the number 50 between 46 and 51. Place the cursor on the number 51, press INS and then 50. Your screen will look like this. When you press ENTER the 50 will be put into the list between 46 and 51. TRY IT! Now input the data from the following stem leaf plot into L2 (List 2) Your calculator should now look like this. Now we are going to formulate a List 3, which is the addition (sum) of Lists 1 & 2. To do this, go to List 3 with the cursor and use the up arrow to go to the L3 heading. At the bottom of the screen you will see a blank line where you can enter a formula telling the calculator how to compute L3. Type in L1 + L2 and Press ENTER. MAGIC! (NOTE: If the two lists are not the same lengths you will get the error statement. DIM MISMATCH) 4

5 Now let s clear the lists so that you can do more work. There are two ways to do this. Method 1: Go to the list editor (STAT 1: Edit). Move the cursor to the top of any list you wish to clear so that you highlight the list name. Press CLEAR then ENTER. Method 2: Press STAT 4: ClrList and enter the list(s) you want cleared with a comma separating them. Clear Lists 1 through 6. Press ENTER and you should see this. All your lists are now cleared ready for your next homework or test question. Finding out about a list s statistics Enter the following data into L1 of your List editor Now go to STAT > CALC and select 1:1-Var Stats This will be pasted to the home screen and follow it by L1 as shown next. Then Press ENTER. Mean Five number summary You now have the summary statistics for list L1. These include the mean, standard deviation, number in the list, median and 5-number summary. 5

6 Next we will see how to input data summarized in a frequency table. Frequency Tables The following frequency table will now be input into the TI-83. Clear all lists. x f First enter the lower class limits and upper class limits into lists L1 and L2 respectively. Now move the cursor to L3 and enter the formula for determining the class marks. Press ENTER and the class marks will now appear in L3. (Notice the ( ) in the formula). Now enter the class frequencies in L4 as shown below. 6

7 We can find out the summary statistics from our frequency table. First go to the home screen by using 2 nd > QUIT. Again go to STAT > CALC and select 1: 1-Var Stats. Put in the lists where the class marks and frequencies are stored remembering to use a comma. In this case 1: 1-Var Stats L3,L4 Now press ENTER Mean Five number summary These are the summary statistics for the frequency table. They also include the mean, standard deviation, total number, median and five number summary. Another statistic we will talk about is the interquartile range. It is gotten by performing the subtraction Q3 Q1or = 15in this example. One other statistic is the variance. You can find the variance by pressing LIST > MATH and scroll down or up to 8: variance (enter L3, L4 and press ENTER. The variance is approximately

8 Chapter 2 Graphing Statistics Boxplots Enter the data found in the first stem plot into L We will now have the calculator draw a boxplot of this data to get an idea of what the distribution of the data looks like. Press 2 nd and STAT PLOT. The screen will look like this. Now press either 1 or ENTER and use the direction arrows to get this screen. Now press ZOOM 9 and the screen will something look like this. Now press the TRACE button and use the direction arrows to see the Median, Q1 as well as other values in the five number summary. 8

9 Histograms Next we will graph a histogram (what you used to call bar graph) for the data contained in the frequency table which we stored in L1 through L4. x f Press STAT PLOT and select Plot 2, make sure all the other plots are turned off. If they are not select 4:PlotsOff and press ENTER. Now select Plot1 and using the cursor, 1.Turn the plot on. 2.Select Histogram 3.List containing class marks. 4.List containing class frequencies select the following settings as shown in this screen. To graph the actual Histogram Press ZOOM 9. The following screen should appear. Press TRACE and the screen looks like this. Notice that this is not a very good histogram for the frequency table because it has too many classes and some of the classes have no members (frequency = 0). So to make the correct histogram appear we will modify the window by pressing WINDOW. This is the window the calculator sets up. By changing Xmin to the lower class boundary of the first class and Xscl to the class width we will get the histogram you see below. Make the two changes you see above and then press GRAPH (not ZOOM 9). Press the TRACE button and see the screen you see on the next page. 9

10 This denotes that the Plot1 uses L3 and L4. This is the class frequency which corresponds to how height of the bar. This means that the lower class boundary of the first class is 11.5 the upper class boundary is Using the right arrow we can get the other class s boundaries and frequencies. Now let s create a frequency table and histogram from a list of data, Additionally, we will specify the number of classes we want the frequency table to have. For the data given below, create a frequency table having six (6) classes The first step is to enter all the data into one list of your list editor. It does not matter if you enter going across or up & down, but all the data must be in one list. The calculator screen will look something like this. The next step will be to determine the range of numbers for this set of data. The range = Maximum Minimum. The easiest way to find the Max and Min for or data is to have the calculator determine the 1 Var Stats for this data set. Go to Stat > Calc and select 1: 1 Var Stats followed by the list containing the data (L1 in this case). Once the 1 Var Stats have been calculated, scroll to the five number summary to get the Max and Min for the data set. 10

11 The following screens demonstrate this process. So the range of the data will be = 88. Next take the range (88) and devide by the number of classes required (6 in this case) Round this number up to the next whole number (if the answer was a whole number, go to the next whole number). This gives the class width required. In this case 15. Next, go to the STAT PLOT screen and check to see that all the PLOTS are off. Select PLOT 1 and set up the screen to look like the screen below. Now Press ZOOM 9 and you should see the following screen 11

12 Next, Press the WINDOW key and make the following two changes. The Xmax will be changed to the lower class boundary of the first class. T Xscl will become the class width that you calculated above. Now Press the GRAPH key and you will see a histogram which has the classes with the proper class width and boundaries for the data. To see the actual boundaries of the classes and their respective frequencies, use the TRACE key. This information can be put into a frequency table like the one below. X f

13 Practice Midterm #1 1. Identify the type of sampling used in each case. (a) (b) A quality control analyst inspects every 50th compact disk from the assembly line. A sample of 12 jurors is selected by first placing all names on cards that are mixed in a drum. (c) (d) A television news team samples reactions to an election by selecting adults who pass by the news studio entrance. A political analyst first identifies three different economic groups, then selects 200 subjects from each of them. (e) News coverage includes exit polls of everyone from each of 80 randomly selected election precincts. 2. Use the given sample data to find each of the listed values (a) mean (b) median (c) mode (d) midrange (e) range (f) variance (g) st. dev. (h) Q3 3. Use the frequency table below to find the values listed at the right. (a) mean (b) standard deviation (c) variance x f

14 4. Referring to the frequency table given in problem 3, answer the following questions. (a) (b) (c) What is the lower class limit for the first class? (a) What is the class mark of the first class? (b) What is the lower class boundary of the third class? (c) (d) What is the sample size n? (d) (e) What is the class width? (e) 5. Construct the histogram for the data summarized in the frequency table for problem Construct and label a boxplot for the data given in problem Which is better: A score of 66 on a test with a mean of 80 and a standard deviation of 6, or a score of 70 on a test with a mean of 80 and a standard deviation of 3? Explain your choice. 14

15 Answer Key for Practice Midterm #1 1. a. systematic b. random c. convenience d. stratified e. cluster 2. a. 78 b. 81 c. 82 d e. 33 f g h a b c a. 1 b. 8 c d. 47 e Also label all the other class boundaries and frequencies Since the Z score for the grade of 66 is greater (further to the right on the number line) than the Z score for the grade of 70, 66 is the better grade. 15

16 The person getting data does the following Electronic Data Transfer 1. Press 2 nd (yellow key) 3. Over arrow to RECEIVE 5. The screen will say Waiting 2. Press LINK 4. When person sending is ready press ENTER 6. the person sending may now TRANSMIT The person sending the data does the following 1. Press 2 nd (yellow key) 2. Press LINK 3. Choose SEND (press either ENTER or 1) 4. Select 3: Prgm (if you want to send programs) or 4:List (for lists) 5. Now use the down arrow to go to the programs or lists you wish to transmit. 6. To select a specific program or list press ENTER and a little square appears. 7. After selecting all programs or lists you wish to transmit right arrow to TRANSMIT (The person receiving the data should now press ENTER to be Waiting) 8. Finally press ENTER and the programs or lists will be sent. 9. If you are replacing a list or program or transmitting data from L1 L6, then the person receiving the data will have to OVERRIDE by pressing 2 when prompted. 16

17 Creating Named Lists and storing them in the TI-83 In doing your statistics team research project, you will what to be able to create named lists in which your team can store measurement data. By doing this you will be able to work with this information and analyze the data using various statistical functions in the TI-83. You now know where the lists L1 through L6 are located in the TI-83, get to them by pressing STAT 1. Now press the blue up arrow to put the cursor on the label for the list L1. Now press the yellow INS button by pressing 2 nd and INS. A new list will appear. Notice the new list next to L1 that has no name. You can name the list by using the GREEN alpha keys to insert any 5-lettered name you wish. The name will appear here. Let s say your team is doing a price comparison between items found at Lucky and Safeway. The first list we will create will be called LUCKY. You could create it as follows. First enter the name LUCKY using the GREEN keys, then press ENTER. 17 Move the cursor to this position using the blue down arrow.

18 Now create a second named list called SFWAY using the same method. Move the cursor to the name on an existing list (LUCKY) and press INS. Spell out SFWAY using the GREEN keys Press ENTER You now have two named lists that can be used to store data without taking up room in the lists L1-L6. Now let s hide those named lists so that they do not appear on the list editor when we are doing homework or mid-term exams. To hide these lists, but keep them in the calculator s memory press STAT 5:SetUpEditor.then ENTER. Your screen should look like this when you do. When you go back to look at the list editor using STAT1:Edit you will see this Notice the named lists no longer appear in the list editor. But, they are in your calculator. Where? They are stored under LIST above the STAT key. Press LIST. This is where the named lists are stored. The TI-83 can store 999 such lists and they can have 999 entries each! Now let s say we want to work on the project and set up the list editor so that you only see the named lists LUCKY and SFWAY. 18

19 To set up the list editor with named only lists. Press STAT5:SetUpEditor The screen will look like this. Now press 2 nd LIST to view this screen. Press 1 and the List named LUCKY is pasted back to the home screen, press comma(,) Now Press LIST again and this time select 2:SFWAY from the screen below. When you press 2 SFWAY will be pasted to the home screen. Now press ENTER. The screen tells you that it is DONE 19

20 When you press STAT 1:Edit you will see the list editor with only the named lists. You can now enter you data into the lists and the data will be stored in the TI-83. Enter data into your named lists, but keep a record of what the data means. When you are finished working with the named lists and want to restore the list editor to the original setting with only lists L1 through L6 showing, Press STAT 5:SetUpEditor and then ENTER. Now press STAT 1;Edit and the list editor is restored to showing only the L1 L6. Deleting Lists At some point you wish to delete the named lists from the calculator s memory. To do this press 2 nd MEM which is over the + symbol. Press 2:Delete 20

21 Now press 4:List The next screen will enable you to scroll down and select the lists you want to delete using the ENTER key When you press ENTER the list is deleted. Press ENTER with the arrow on SFWAY and the SFWAY list is deleted. When you are finished deleting lists press 2 nd QUIT to go back to the HOME screen. 21

22 Chapter 3 The Normal Distribution In drawing the normal distribution we will make use of a saved window to graph the standard normal distribution. Press the WINDOW button and enter the values you see in the following screen very, very carefully. Note that these two negative values require using the gray negative button, not the blue subtract button. Note: this is.1 not 1 We will now store this window to be used in the future so that we do not have to put in these numbers every time we wish to graph a normal distribution. First check by pressing STAT PLOT that all the plots are turned off. Also check by pressing the Y= button that no equation are in the function toolbox. All plots are turned Off No equations in Y= function tool box. Now press 2 nd DRAW and go to the STO menu to see the screen below Select 3 Store GDB (Graph Data Base) by pressing 3. Store GDB will be pasted to the home screen. Now press the number 1. Now press ENTER and the screen will tell you it is DONE. 22

23 Standard Normal Distribution We are now ready to do problems dealing with graphing the standard normal distribution. First we will need to know how to recall the window we stored as graph data base 1 (GDB1). Press 2 nd DRAW and use the arrows to go to the STO menu. Select 4:Recall GDB and press ENTER. This pastes the Recall GDB command to the home screen. Now press the number 1 and then Press ENTER and the calculator tells you it is DONE. Select 4:RecallGDB Type in 1 and press ENTER Let say we want to know what proportion or percentage of the population in a standard normal distribution that is between 1 and 2 standard deviations above the mean. Another way this question could be asked is what is the probability that, if a member is randomly selected from the population, that member will be between 1 and 2 standard deviations above the mean? We will do this problem finding the percentage or probability and also graphing the area under the standard normal curve that represents this percentage or probability. Press 2 nd DISTR and right arrow to the DRAW menu shown below. Select 1:ShadeNorm(, and then type 1,2 for between 1 and 2 standard deviations Press ENTER to see the graph below. This is the area under the standard normal curve that represents.1359 or 13.59% of the population. This the percentage or probability of the distribution between 1 and 2 standard deviations =.1359 or 13.56% These are the 1 and 2 standard deviations between which the graph is drawn. When we are finished go to 2 nd DRAW and select 1:ClrDraw to clear your graph. 23

24 Non-Standard Normal Distribution We will now do some problems that deal with other populations which are normal distributions with means and standard deviations other than 0 and 1 respectively. In other words, non-standard normal distributions. How do you deal with a non-standard normal distribution? Standardize it! You ve heard of standardized tests. How do you standardize? The Z score formula. The non-standard score The mean The standardized score or Z score Z x x = s The standard deviation Now we will do a typical non-standard normal deviation problem. An educational testing corporation has designed a standard test of mechanical aptitude. Scores on this test are normally distributed with a mean of 75 and a standard deviation of 15. If a subject is randomly selected and tested, find the probability that his score will be between 75 and 100. Go to the home screen by pressing 2 nd QUIT. Clear the screen by pressing CLEAR. We will calculate the z scores for the two upper and lower bounds of 75 and 100 using the z score formula. We will also store those z scores using the STO key and the green ALPHA key. This stores the z score using the STO key This calculates the z score for the lower bound of 75. This calculates the z score for the upper bound of 100. Z scores This stores the z score using the STO key This stores the z score as the letter A using the ALPHA key and the green letter A. This stores the z score as the letter A using the ALPHA key and the green letter B. 24

25 Now that the z scores have been calculated and stored as A and B, we will graph the First press 2 nd DISTR and go to the DRAW menu. Select 1:ShadeNorm( by pressing 1 ShadeNorm is now pasted to the home screen Enter A and B by using the ALPHA keys followed by A and B Now press ENTER to see the graph below. Here is the graph of the area representing the probability Here is the actual probability =.4522 or 45.22% Here are the lower and upper bound z scores. Do not forget to clear the graph by pressing 2 nd DRAW and select 1;ClrGraph 25

26 Now we will do another problem for the same distribution with a mean of 75 and a standard deviation of 15. If a subject is randomly selected and tested, find the probability that his score will be below 85. Go to the home screen by pressing 2 nd QUIT and then CLEAR to clear it. We now calculate the z score for 85 using the z score formula storing the answer as A using the STO key and the green ALPHA key followed by the green letter A The z score for the number 85 Again go to 2 nd DISTR arrow to the DRAW menu and select 1:ShadeNorm by pressing ENTER. After selecting ShadeNorm we need to use negative infinity as the lower bound. To do this first press the gray negative key. Then press 2 nd and then the yellow EE key above the comma (,) key. Type in the number 99. The upper bound is the stored value of A which uses the ALPHA key followed by the letter A. The lower bound of negative infinity uses the gray negative key, then 2 nd followed by the yellow EE key. 26

27 Now press ENTER to see the answer and the shaded distribution. Here is the probability =.7475 or 74.75% Here is the shaded area representing the probability. Here are the lower and upper bounds z scores. Problems that ask for probabilities a score will be greater than a particular number will involve positive infinity and will require EE99 as an upper bound. Again go to 2 nd DRAW and select 1:ClrDraw to clear the graph One last problem dealing with this particular non-standard normal distribution. Find the 33rd percentile. That is the score that separates the upper 67% of the population from the lower 33% of the population. Go to the 2 nd DISTR button and select 3:invNorm (to paste this command to the home screen. The syntax for the invnorm command is to enter the area to the left followed by the mean and standard deviation. The score that separates the lower 33% from the upper 67% is 69. This is one answer that is always rounded up, not off. 27

28 The Central Limit Theorem In problems dealing with samples of a certain size being taken randomly from a population, think about the Central Limit Theorem. The major difference between a Central Limit Theorem problem and problems we have just done is the recalculation of the standard deviation for the Central Limit Theorem problems. Other than that the problem can be handled in exactly the same manner as non-standard distribution problems. For example for the distribution problem that we were doing earlier, a Central Limit Theorem variation would be as follows. An educational testing corporation has designed a standard test of mechanical aptitude. Scores on this test are normally distributed with a mean of 75 and a standard deviation of 15.Eighty different subjects are randomly selected and tested. Find the probability that this sample of 80 has a mean is below 71. Again the key here is that a sample of 80 subjects are randomly selected. So first we will recalculate the new standard deviation for this distribution remembering that the original distributions standard deviation was = 15. This uses the formula for calculating the s = new standard deviation, x s n stores in using the STO button and the ALPHA button followed by the green letter S The actual value of the standard deviation that will be used in this Central Limit Theorem problem and which is stored as S. Now we proceed with the problem by calculating the z score for the score of 71 using this newly calculated standard deviation (S) and storing the resulting z score as A. 28

29 Finally we go to the 2 nd DISTR button and then to the DRAW menu and select 1:ShadeNorm( as before, thus pasting it to the home screen. As before, since this is a problem asking for the probability that a score will be below a particular number (71), we use negative infinity in the form E99. Press ENTER. Here is the screen giving the probability of.0085 or.85% along with the graph. 29

30 Problems; In one region, the September energy consumption levels for single-family homes are found to be normally distributed with a mean of 1050 kwh and a standard deviation of 218 kwh. 1. For a randomly selected home, find the probability that the September energy consumption level is between 1050 kwh and 1250 kwh. 2. For a randomly selected home, find the probability that the September energy consumption level is below 1200 kwh. 3. For a randomly selected home, find the probability that the September energy consumption level is between 1100 kwh and 1225 kwh. 4. For a randomly selected home, find the probability that he September energy consumption level is above 1175 kwh. 5. For a randomly selected home, find the probability that the September energy consumption level is between 1000 kwh and 1200 kwh. 6. Find the 45th percentile. 7. If 50 different homes are randomly selected, find the probability that their mean energy consumption level for September is greater than 1075 kwh. 8. The mean serum cholesterol of a large population of overweight adults is 220 milligrams per deciliter (mg/ dl), and the standard deviation is 16.3 mg/dl. If a sample of 30 adults is selected, find the probability that the mean will be between 220 and 222 mg/dl. 9. Toby s Trucking Company determined that on an annual basis, the distance traveled per truck is normally distributed with a mean of 50.0 thousand miles and a standard deviation of 12.0 thousand miles. (a) How many of the 1,000 trucks in the fleet are expected to travel between 30.0 and 60.0 thousand miles in the year? (b) How many miles will be traveled by at least 80% of the trucks? 30

31 10. A set of final examination grades in an introductory statistics course was found to be normally distributed with a mean of 73 and a standard deviation of 8. (a)what is the probability of getting a grade no higher than 91 on this exam? (b)what is the final exam grade if only 5% of the students taking the test scored higher? (c)if the professor curves (gives A s to the top 10% of the class regardless of the score), are you better off with a grade of 81 on this exam or a grade of 68 on a different exam where the mean is 62 and the standard deviation is 3? Show statistically and explain. 11. Wages for workers in a particular industry average \$11.90 per hour and the standard deviation is \$0.40. If the wages are assumed to be normally distributed: (a) What percentage of workers receive wages between \$12.20 and \$13.10? (b) What percentage of workers receive wages less than \$11.00? (c) What percentage of workers receive wages more than \$12.95? (d) What must the wage be if only 10% of all workers in this industry earn more? (e) What must the wage be if 25% of all workers in this industry earn less? 31

33 a 9.b. 33

34 10.a. 10.b. 10.c. A grade of 68 which is 2 standard deviations above the mean. 11.a. 34

35 11.b. 11.c. 11.d. 11.e. 35

36 THE CENTRAL LIMIT THEOREM 1. For a certain large group of individuals, the mean hemoglobin level in the blood is 21.0 grams per milliliter (g/ml). The standard deviation is 2 g/ml. If a sample of 25 individuals is selected, find the probability that the sample mean will be greater than 21.3 g/ml. 2. The mean weight of 18-year-old females is 126 pounds, and the standard deviation is If a sample of 25 females is selected, find the probability that the mean of the sample will be greater than pounds. 3. The mean grade point average of the engineering majors at a large university is 3.23, with a standard deviation of In a class of 48 students, find the probability that the mean grade point average of the 48 students is less than The mean of the number of ounces of coffee a vending machine dispenses is 10. The standard deviation is 0.1. If a sample of 10 cups is selected, find the probability that the mean of the sample will be less than 9.93 ounces. 5. Assume that the mean systolic blood pressure of normal adults is 120 millimeters of mercury (mmhg), and the standard deviation is 5.6. a. If an individual is selected, find the probability that the individual s pressure will be between 120 and mmhg. b. If a sample of 30 adults is randomly selected, find the probability that the sample mean will be between 120 and mmhg. c. Why is the answer to part a so much smaller than the answer to part b? 6. At a large university, the mean age of graduate students who are majoring in psychology is 32.6 years, and the standard deviation is 3 years. a. If an individual from the department is randomly selected, find the probability that the individual s age will be between 31.0 and 33.2 years. b. If a random sample of 15 individuals is selected, find the probability that the mean age of the students in the sample will be between 31.0 years and 33.2 years. 7. The average breaking strength of a certain brand of steel cable is 2000 pounds, with a standard deviation of 100 pounds. A sample of 20 cables is selected and tested. Find the sample mean that will cut off the upper 95% of all of the samples of size 20 taken from the population. 36

37

38 5. a. b. c. Because the standard deviation (variation) of the sample of 30 is so much smaller (central limit theorem), the area or percentage of the population of sample means in the same interval is much greater. 6.a. b

39 Chapter 4 Confidence Intervals Pressing the STAT key and using the right arrow to go to the TESTS menu starts the calculation of confidence intervals. Then use the down arrow to scroll down to the group of different confidence interval tests. Numbers 7 to B are all of the Interval Tests used in this course. We will start with numbers 7:Z Interval, 8:T Interval and A:1-PropZInt. (The remaining intervals will be covered in later chapters.) Estimating a Population Mean We will start by dong a problem that demonstrates 7:Z Interval. A sociologist develops a test to measure attitudes about public transportation, and 47 randomly selected subjects are given the test. Their mean is 76.2 and their standard deviation is Construct the 95% confidence interval for the mean score of all such subjects. Why is this a problem involving a Z Interval? Because the size of the sample is >30. Notice that if n>30, then 5 = s for the sample. Input the remainder of the summary statistic, go to Calculate and press ENTER This is the estimation interval. The center of the interval is The ends of the interval are and The Margin of Error is calculated by subtracting = or by subtracting = Either way the Margin of Error is The interval could be written as

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