176398 - MATH221_W2_Lab_Excel_Your Name Here

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Kolej Poly-Tech Mara Kuala Lumpur *

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Nov 24, 2024

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1 MATH 221 Statistics for Decision Making Week 2 iLab Name:_______________________ Statistical Concepts that you will learn after completing this iLab: Using Excel for Statistics Graphics Shapes of Distributions Descriptive Statistics Empirical Rule Week 2 iLab Instructions-BEGIN Data have already been formatted and entered into an Excel worksheet. Obtain the data file for this lab from your instructor. The names of each variable from the survey are in the first row of the Worksheet. This row has a background color of gray to identify it as the variable names. All other rows of the Worksheet represent a certain students’ answers to the survey questions. Therefore, the rows are called observations and the columns are called variables. On page 6 of this lab, you will find a code sheet that identifies the correspondence between the variable names and the survey questions. Follow the directions below and then paste the graphs from Excel in the grey areas for question 1 through 3. Type your answers to questions 4 through 11 where noted in the grey areas. When asked for explanations, please give thorough, multi-sentence or paragraph length explanations. PLEASE NOTE that various versions of Excel may have slightly different formula commands. For example, some versions use =STDEV.S while other versions would use =STDEVS (without the dot before the last “S”). The completed iLab Word Document with your responses to the 11 questions will be the ONE and only document submitted to the dropbox. When saving and submitting the document, you are required to use the following format: Last Name_ First Name_Week2iLab. Week 2 iLab Instructions-END
2 Creating Graphs 1. Create a pie chart for the variable Car Color: Select the column with the Car variable, including the title of Car Color. Click on Insert , and then Recommended Charts . It should show a clustered column and click OK . Once the chart is shown, right click on the chart (main area) and select Change Chart Type . Select Pie and OK . Click on the pie slices, right click Add Data Labels , and select Add Data Callouts . Add an appropriate title. Copy and paste the chart here. (4 points) black; 14.29% blue; 17.14% dark blue; 2.86% green; 8.57% orange; 5.71% red; 31.43% silver; 17.14% white; 2.86% Pie Chart for Car Color black blue dark blue green orange red silver white 2. Create a histogram for the variable Height. You need to create a frequency distribution for the data by hand. Use 5 classes, find the class width, and then create the classes. Once you have the classes, count how many data points fall within each class. It may be helpful to sort the data based on the Height variable first. Create a new worksheet in Excel by clicking on the + along the bottom of the screen and type in the categories and the frequency for each category. Then select the frequency table, click on Insert , then Recommended Charts and choose the column chart shown and click OK . Right click on one of the bars and select Format Data Series . In the pop up box, change the Gap Width to 0. Add an appropriate title and axis label. Copy and paste the graph here. (4 points)
3 61-63 64-66 67-69 70-72 73-75 0 2 4 6 8 10 12 Histogram for Height 3. Type up a stem-and-leaf plot chart in the box below for the variable Money, with a space between the stems and the group of leaves in each line. Use the tens value as the stem and the ones value for the leaves. It may be helpful to sort the data based on the Money variable first. An example of a stem-and-leaf plot would look like this: 1 4 5 6 9 3 2 5 6 3 6 3 9 2 The stem-and-leaf plot shown above would be for data 4, 5, 6, 9, 3, 15, 16, 13, 16, 29, and 22. (4 points) The steam-and-leaf plot for the variable Money: 0 1 3 5 5 5 7 7 7 9 1 0 6 2 0 0 1 3 9 3 1 2 4 7 4 0 0 1 3 3 4 5 5 6 7 7 8 5 2 3 3 Calculating Descriptive Statistics
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4 4. Calculate descriptive statistics for the variable Height by Gender. Click on Insert and then Pivot Table . Click in the top box and select all the data (including labels) from Height through Gender . Also click on “new worksheet” and then OK . On the right of the new sheet, click on Height and Gender , making sure that Gender is in the Rows box and Height is in the Values box. Click on the down arrow next to Height in the Values box and select Value Field Settings . In the pop up box, click Average then OK . Type in the averages below. Then click on the down arrow next to Height in the Values box again and select Value Field Settings . In the pop up box, click on StdDev then OK . Type the standard deviations below. (3 points) Mean Standard deviation Females 65.56 2.79 Males 69.65 3.16 Short Answer Writing Assignment All answers should be complete sentences. 5. What is the most common color of car for students who participated in this survey? Explain how you arrived at your answer. (5 points) According to the pie chart from the question #1, the most common color of car for students who participated in this survey is red. We are able to see, that 31% (or 11 people) of students who participated in this survey have red car color and it is the highest percentage (and amount of students) among all the car colors: 1. Red color: 31% or 11 students. 2. Blue and Silver colors: 17% or 6 students (for each color). 3. Black color: 14% or 5 students. 4. Green color: 9% or 3 students. 5. Orange color: 6% or 2 students. 6. Dark blue and White color: 3% or 1 student (for each color). 6. What is seen in the histogram created for the heights of students in this class (include the shape)? Explain your answer. (5 points) The histogram created for the heights of students in this class is bell-shaped and skewed to the right (positive skew). The histogram shows that the height of students in this class vary from 61 to 75 inches. It shows that the most common height for this class is in the interval 64 – 66 inches (10
5 students). We are able to see, that there are: - 5 students with height from 61 to 63 inches; - 10 students with height from 64 to 66 inches; - 9 students with height from 67 to 69 inches; - 8 students with height from 70 to 72 inches; - 3 students with height from 73 to 75 inches. 7. What is seen in the stem and leaf plot for the money variable (include the shape)? Explain your answer. (5 points) The steam-and-leaf plot is bell-shaped and skewed to the left (negative skew). The plot shows that the most common money amount is from $40 to $49 (12 students). 8. Compare the mean for the heights of males and the mean for the heights of females in these data. Compare the values and explain what can be concluded based on the numbers. (5 points) The mean height is: - 65.56 inches for females; - 69.65 inches for males. As we are able to see, the average height of a female students is 65.56 inches and it is more than 4 inches lower than the average height of a male student in this class (69.65 inches). We can conclude that an average boy in this class is taller than an average girl in the class by 4.09 inches. 9. Compare the standard deviation for the heights of males and the standard deviation for the heights of females in the class. Compare the values and explain what can be concluded based on the numbers. (5 points) The standard deviation for Height is: - 2.79 inches for a female student; - 3.16 inches for a male student. As we are able to see, the standard deviation for height of a female student in this class is lower than the standard deviation for height of a male student in this class. It means that the male’s height varies more than females height (i.e. boys have more different heights). 10. Using the empirical rule, 95% of female heights should be between what two values? Either show work or explain how your answer was calculated. (5 points)
6 According the Empirical Rule, the 95% of female heights should be within two standard deviations from the mean. Thus, we have, that the 95% of females should be between 59.98 inches and 71.14 inches: Lowerbound = 65.56 2 2.79 = 59.98 Upperbound = 65.56 + 2 2.79 = 71.14 Thus, 95% CI for the female heights is ( 59.98,71.14 ) . 11. Using the empirical rule, 68% of male heights should be between what two values? Either show work or explain how your answer was calculated. (5 points) According the Empirical Rule, the 68% of male heights should be within one standard deviations from the mean. Thus, we have, that the 68% of males should be between 66.86 inches and 72.44 inches: Lowerbound = 69.65 1 3.16 = 66.86 Upperbound = 69.65 + 1 3.16 = 72.44 Thus, 68% CI for the male heights is ( 66.86,72.44 ) .
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7 Code Sheet Do NOT answer these questions. The Code Sheet just lists the variables name and the question used by the researchers on the survey instrument that produced the data that are included in the data file. This is just information. The first question for the lab is after the code sheet. Variable Name Question Drive Question 1 – How long does it take you to drive to the school on average (to the nearest minute)? State Question 2 – What state/country were you born? Temp Question 3 – What is the temperature outside right now? Rank Question 4 – Rank all of the courses you are currently taking. The class you look most forward to taking will be ranked one, next two, and so on. What is the rank assigned to this class? Height Question 5 – What is your height to the nearest inch? Shoe Question 6 – What is your shoe size? Sleep Question 7 – How many hours did you sleep last night? Gender Question 8 – What is your gender? Race Question 9 – What is your race? Car Question 10 – What color of car do you drive? TV Question 11 – How long (on average) do you spend a day watching TV? Money Question 12 – How much money do you have with you right now? Coin Question 13 – Flip a coin 10 times. How many times did you get tails? Die1 Question 14 – Roll a six-sided die 10 times and record the results. Die2 Die3 Die4 Die5 Die6 Die7 Die8 Die9 Die10