 1.1.1: Time in the iTunes playlist. In the iTunes playlist, do you prefer ...
 1.1.2: Who, what, and why for the statistics class data. Answer the who, w...
 1.1.3: Read the spreadsheet. Refer to Figure 1.2. Give the values of the v...
 1.1.4: Calculate the grade. A student whose data do not appear on the spre...
 1.1.5: Apartment rentals. A data set lists apartments available for studen...
 1.1.6: How should you express the change? Between the first exam and the s...
 1.1.7: Which variable would you choose. Refer to Example 16, on colleges ...
 1.1.8: Summer jobs. You are collecting information about summer jobs that ...
 1.1.9: Employee application data. The personnel department keeps records o...
 1.1.10: How would you rank cities? Various organizations rank cities and pr...
 1.1.11: Survey of students. A survey of students in an introductory statist...
 1.1.12: What questions would you ask? Refer to the previous exercise. Make ...
 1.1.13: How would you rate colleges? Popular magazines rank colleges and un...
 1.1.14: Attending college in your state or in another state. The U.S. Censu...
 1.1.15: Alcoholimpaired driving fatalities. A report on drunkdriving fata...
 1.1.16: Compare the bar graph with the pie chart. Refer to the bar graph in...
 1.1.17: Make a stemplot. Here are the scores on the first exam in an introd...
 1.1.18: Which stemplot do you prefer? Look carefully at the stemplots for t...
 1.1.19: Why should you keep the space? Suppose that you had a data set for ...
 1.1.20: Make a histogram. Refer to the firstexam scores from Exercise 1.17...
 1.1.21: Change the classes in the histogram. Refer to the firstexam scores...
 1.1.22: Use smaller classes. Repeat the previous exercise using classes 55 ...
 1.1.23: Describe the firstexam scores. Refer to the firstexam scores from...
 1.1.24: Four states with large populations. There are four states with popu...
 1.1.25: The Titanic and class. On April 15, 1912, on her maiden voyage, the...
 1.1.26: Another look at the Titanic and class. Refer to the previous exerci...
 1.1.27: Who survived? Refer to the two previous exercises. The number of fi...
 1.1.28: Do you use your Twitter account? Although Twitter has more than 500...
 1.1.29: Another look at Twitter account usage. Refer to the previous exerci...
 1.1.30: Energy consumption. The U.S. Energy Information Administration repo...
 1.1.31: Energy consumption in a different year. Refer to the previous exerc...
 1.1.32: Favorite colors. What is your favorite color? One survey produced t...
 1.1.33: Leastfavorite colors. Refer to the previous exercise. The same stu...
 1.1.34: Garbage. The formal name for garbage is municipal solid waste. Here...
 1.1.35: Recycled garbage. Refer to the previous exercise. The following tab...
 1.1.36: Market share for desktop browsers. The following table gives the ma...
 1.1.37: Market share for mobiles and tablet browsers. The following table g...
 1.1.38: Compare the market shares for browsers. Refer to the previous two e...
 1.1.39: Vehicle colors. Vehicle colors differ among regions of the world. H...
 1.1.40: Facebook users by region. The following table gives the numbers of ...
 1.1.41: Facebook ratios. One way to compare the numbers of Facebook users f...
 1.1.42: Sketch a skewed distribution. Sketch a histogram for a distribution...
 1.1.43: Grades and selfconcept. Table 1.3 presents data on 78 seventhgrad...
 1.1.44: Describe the IQ scores. Make a graph of the distribution of IQ scor...
 1.1.45: Describe the selfconcept scores. Based on a suitable graph, briefl...
 1.1.46: The Boston Marathon. Women were allowed to enter the Boston Maratho...
 1.1.47: Include the outlier. The complete business start time data set with...
 1.1.48: Find the mean. Here are the scores on the first exam in an introduc...
 1.1.49: Include the outlier. Include Suriname, where the start time is 694 ...
 1.1.50: Calls to a customer service center. The service times for 80 calls ...
 1.1.51: Find the median. Here are the scores on the first exam in an introd...
 1.1.52: Find the quartiles. Here are the scores on the first exam in an int...
 1.1.53: Verify the calculations. Refer to the fivenumber summary and the m...
 1.1.54: Find the fivenumber summary. Here are the scores on the first exam...
 1.1.55: Make a boxplot. Here are the scores on the first exam in an introdu...
 1.1.56: Find the IQR. Here are the scores on the first exam in an introduct...
 1.1.57: Find the variance and the standard deviation. Here are the scores o...
 1.1.58: A standard deviation of zero. Construct a data set with 5 cases tha...
 1.1.59: Effect of an outlier on the IQR. Find the IQR for the time to start...
 1.1.60: Calculate the points for a student. Use the setting of Example 1.35...
 1.1.61: Gossets data on double stout sales. William Sealy Gosset worked at ...
 1.1.62: Measures of spread for the double stout data. Refer to the previous...
 1.1.63: Are there outliers in the double stout data? Refer to Exercise 1.61...
 1.1.64: Smolts. Smolts are young salmon at a stage when their skin becomes ...
 1.1.65: Measures of spread for smolts. Refer to the previous exercise. (a) ...
 1.1.66: Are there outliers in the smolt data? Refer to Exercise 1.64. (a) F...
 1.1.67: The value of brands. A brand is a symbol or images that are associa...
 1.1.68: Alcohol content of beer. Brewing beer involves a variety of steps t...
 1.1.69: Remove the outliers for alcohol content of beer. Refer to the previ...
 1.1.70: Calories in beer. Refer to the previous two exercises. The data fil...
 1.1.71: Potatoes. A quality product is one that is consistent and has very ...
 1.1.72: Longleaf pine trees. The Wade Tract in Thomas County, Georgia, is a...
 1.1.73: Blood proteins in children from Papua New Guinea. Creactive protei...
 1.1.74: Does a log transform reduce the skewness? Refer to the previous exe...
 1.1.75: Vitamin A deficiency in children from Papua New Guinea. In the Papu...
 1.1.76: Luck and puzzle solving. Children in a psychology study were asked ...
 1.1.77: Median versus mean for net worth. A report on the assets of America...
 1.1.78: Create a data set. Create a data set with 9 observations for which ...
 1.1.79: Mean versus median. A small accounting firm pays each of its six cl...
 1.1.80: Be careful about how you treat the zeros. In computing the median i...
 1.1.81: How does the median change? The firm in Exercise 1.79 gives no rais...
 1.1.82: Metabolic rates. Calculate the mean and standard deviation of the m...
 1.1.83: Earthquakes. Each year there are about 900,000 earthquakes of magni...
 1.1.84: IQ scores. Many standard statistical methods that you will study in...
 1.1.85: Mean and median for two observations. The Mean and Median applet al...
 1.1.86: Mean and median for three observations. In the Mean and Median appl...
 1.1.87: Mean and median for five observations. Place five observations on t...
 1.1.88: Hummingbirds and flowers. Different varieties of the tropical flowe...
 1.1.89: Compare the three varieties of flowers. The biologists who collecte...
 1.1.90: Imputation. Various problems with data collection can cause some ob...
 1.1.91: Create a data set. Give an example of a small set of data for which...
 1.1.92: Create another data set. Create a set of 5 positive numbers (repeat...
 1.1.93: A standard deviation contest. This is a standard deviation contest....
 1.1.94: Deviations from the mean sum to zero. Use the definition of the mea...
 1.1.95: Does your software give incorrect answers? This exercise requires a...
 1.1.96: Compare three varieties of flowers. Exercise 1.88 reports data on t...
 1.1.97: Weight gain. A study of diet and weight gain deliberately overfed 1...
 1.1.98: Changing units from inches to centimeters. Changing the unit of len...
 1.1.99: A different type of mean. The trimmed mean is a measure of center t...
 1.1.100: Changing units from centimeters to inches. Refer to Exercise 1.72 (...
 1.1.101: Test scores. Many states assess the skills of their students in var...
 1.1.102: Use the 689599.7 rule. Refer to the previous exercise. Use the 6895...
 1.1.103: Find the zscore. Consider the NAEP scores (see Exercise 1.101), wh...
 1.1.104: Find another zscore. Consider the NAEP scores, which we assume are...
 1.1.105: Find the proportion. Consider the NAEP scores, which are approximat...
 1.1.106: Find another proportion. Consider the NAEP scores, which are approx...
 1.1.107: What score is needed to be in the top 25%? Consider the NAEP scores...
 1.1.108: Find the score that 80% of students will exceed. Consider the NAEP ...
 1.1.109: Means and medians. (a) Sketch a symmetric distribution that is not ...
 1.1.110: Means and medians. (a) Sketch a symmetric distribution that is not ...
 1.1.111: The effect of changing the mean. (a) Sketch a Normal curve that has...
 1.1.112: NAEP music scores. In Exercise 1.101 (page 61) we examined the dist...
 1.1.113: NAEP U.S. history scores. Refer to the previous exercise. The score...
 1.1.114: Standardize some NAEP music scores. The NAEP music assessment score...
 1.1.115: Compute the percentile scores. Refer to the previous exercise. When...
 1.1.116: Are the NAEP U.S. history scores approximately Normal? In Exercise ...
 1.1.117: Are the NAEP mathematics scores approximately Normal? Refer to the ...
 1.1.118: Do women talk more? Conventional wisdom suggests that women are mor...
 1.1.119: Data from Mexico. Refer to the previous exercise. A similar study i...
 1.1.120: Total scores. Here are the total scores of 10 students in an introd...
 1.1.121: Assign more grades. Refer to the previous exercise. The grading pol...
 1.1.122: A uniform distribution. If you ask a computer to generate random nu...
 1.1.123: Use a different range for the uniform distribution. Many random num...
 1.1.124: Find the mean, the median, and the quartiles. What are the mean and...
 1.1.125: Three density curves. Figure 1.33 displays three density curves, ea...
 1.1.126: Use the Normal Curve applet. Use the Normal Curve applet for the st...
 1.1.127: Use the Normal Curve applet. The 6895 99.7 rule for Normal distribu...
 1.1.128: Find some proportions. Using either Table A or your calculator or s...
 1.1.129: Find more proportions. Using either Table A or your calculator or s...
 1.1.130: Find some values of z. Find the value z of a standard Normal variab...
 1.1.131: Find more values of z. The variable Z has a standard Normal distrib...
 1.1.132: Find some values of z. The Wechsler Adult Intelligence Scale (WAIS)...
 1.1.133: High IQ scores. The Wechsler Adult Intelligence Scale (WAIS) is the...
 1.1.134: Compare an SAT score with an ACT score. Jessica scores 1825 on the ...
 1.1.135: Make another comparison. Joshua scores 17 on the ACT. Anthony score...
 1.1.136: Find the ACT equivalent. Jorge scores 2060 on the SAT. Assuming tha...
 1.1.137: Find the SAT equivalent. Alyssa scores 32 on the ACT. Assuming that...
 1.1.138: Find an SAT percentile. Reports on a students ACT or SAT results us...
 1.1.139: Find an ACT percentile. Reports on a students ACT or SAT results us...
 1.1.140: How high is the top 15%? What SAT scores make up the top 15% of all...
 1.1.141: How low is the bottom 10%? What SAT scores make up the bottom 10% o...
 1.1.142: How low is the bottom 10%? What SAT scores make up the bottom 10% o...
 1.1.143: Find the SAT quartiles. The quartiles of any distribution are the v...
 1.1.144: Do you have enough good cholesterol? Highdensity lipoprotein (HDL) ...
 1.1.145: Men and HDL cholesterol. HDL cholesterol levels for men have a mean...
 1.1.146: Diagnosing osteoporosis. Osteoporosis is a condition in which the b...
 1.1.147: Deciles of Normal distributions. The deciles of any distribution ar...
 1.1.148: Quartiles for Normal distributions. The quartiles of any distributi...
 1.1.149: IQR for Normal distributions. Continue your work from the previous ...
 1.1.150: Outliers for Normal distributions. Continue your work from the prev...
 1.1.151: Deciles of HDL cholesterol. The deciles of any distribution are the...
 1.1.152: Longleaf pine trees. Exercise 1.72 (page 50) gives the diameter at ...
 1.1.153: Three varieties of flowers. The study of tropical flowers and their...
 1.1.154: Use software to generate some data. Use software to generate 200 ob...
 1.1.155: Use software to generate more data. Use software to generate 200 ob...
 1.1.156: Comparing fuel efficiency. Lets compare the fuel efficiencies (mpg)...
 1.1.157: Smoking. The Behavioral Risk Factor Surveillance System (BRFSS) con...
 1.1.158: Eat your fruits and vegetables. Nutrition experts recommend that we...
 1.1.159: Vehicle colors. Vehicle colors differ among types of vehicle in dif...
 1.1.160: Canadian international trade. The government organization Statistic...
 1.1.161: Travel and tourism in Canada. Refer to the previous exercise. Under...
 1.1.162: Internet use. The World Bank collects data on many variables relate...
 1.1.163: Change Internet use. Refer to the previous exercise. The data file ...
 1.1.164: Leisure time for college students. You want to measure the amount o...
 1.1.165: Internet service. Providing Internet service is a very competitive ...
 1.1.166: Internet service provider ratings. Refer to the previous exercise. ...
 1.1.167: What graph would you use? What type of graph or graphs would you pl...
 1.1.168: Spam filters. A university department installed a spam filter on it...
 1.1.169: How much vitamin C do you need? The Food and Nutrition Board of the...
 1.1.170: How much vitamin C do men need? Refer to the previous exercise. For...
 1.1.171: How much vitamin C do women consume? To evaluate whether or not the...
 1.1.172: How much vitamin C do men consume? To evaluate whether or not the i...
 1.1.173: Time spent studying. Do women study more than men? We asked the stu...
 1.1.174: Product preference. Product preference depends in part on the age, ...
 1.1.175: Two distributions. If two distributions have exactly the same mean ...
 1.1.176: Norms for reading scores. Raw scores on behavioral tests are often ...
 1.1.177: sixthgrade student who scores 78. What is her transformed score? W...
Solutions for Chapter 1: Looking at DataDistributions
Full solutions for Introduction to the Practice of Statistics: w/CrunchIt/EESEE Access Card  8th Edition
ISBN: 9781464158933
Solutions for Chapter 1: Looking at DataDistributions
Get Full SolutionsSince 177 problems in chapter 1: Looking at DataDistributions have been answered, more than 50664 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. Chapter 1: Looking at DataDistributions includes 177 full stepbystep solutions. Introduction to the Practice of Statistics: w/CrunchIt/EESEE Access Card was written by and is associated to the ISBN: 9781464158933. This textbook survival guide was created for the textbook: Introduction to the Practice of Statistics: w/CrunchIt/EESEE Access Card, edition: 8.

2 k p  factorial experiment
A fractional factorial experiment with k factors tested in a 2 ? p fraction with all factors tested at only two levels (settings) each

Addition rule
A formula used to determine the probability of the union of two (or more) events from the probabilities of the events and their intersection(s).

Analytic study
A study in which a sample from a population is used to make inference to a future population. Stability needs to be assumed. See Enumerative study

Average run length, or ARL
The average number of samples taken in a process monitoring or inspection scheme until the scheme signals that the process is operating at a level different from the level in which it began.

Bayes’ theorem
An equation for a conditional probability such as PA B (  ) in terms of the reverse conditional probability PB A (  ).

Bias
An effect that systematically distorts a statistical result or estimate, preventing it from representing the true quantity of interest.

Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.

Conidence interval
If it is possible to write a probability statement of the form PL U ( ) ? ? ? ? = ?1 where L and U are functions of only the sample data and ? is a parameter, then the interval between L and U is called a conidence interval (or a 100 1( )% ? ? conidence interval). The interpretation is that a statement that the parameter ? lies in this interval will be true 100 1( )% ? ? of the times that such a statement is made

Control chart
A graphical display used to monitor a process. It usually consists of a horizontal center line corresponding to the incontrol value of the parameter that is being monitored and lower and upper control limits. The control limits are determined by statistical criteria and are not arbitrary, nor are they related to speciication limits. If sample points fall within the control limits, the process is said to be incontrol, or free from assignable causes. Points beyond the control limits indicate an outofcontrol process; that is, assignable causes are likely present. This signals the need to ind and remove the assignable causes.

Control limits
See Control chart.

Critical region
In hypothesis testing, this is the portion of the sample space of a test statistic that will lead to rejection of the null hypothesis.

Critical value(s)
The value of a statistic corresponding to a stated signiicance level as determined from the sampling distribution. For example, if PZ z PZ ( )( .) . ? =? = 0 025 . 1 96 0 025, then z0 025 . = 1 9. 6 is the critical value of z at the 0.025 level of signiicance. Crossed factors. Another name for factors that are arranged in a factorial experiment.

Curvilinear regression
An expression sometimes used for nonlinear regression models or polynomial regression models.

Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.

Distribution function
Another name for a cumulative distribution function.

Extra sum of squares method
A method used in regression analysis to conduct a hypothesis test for the additional contribution of one or more variables to a model.

Factorial experiment
A type of experimental design in which every level of one factor is tested in combination with every level of another factor. In general, in a factorial experiment, all possible combinations of factor levels are tested.

Fraction defective control chart
See P chart

Geometric mean.
The geometric mean of a set of n positive data values is the nth root of the product of the data values; that is, g x i n i n = ( ) = / w 1 1 .

Hat matrix.
In multiple regression, the matrix H XXX X = ( ) ? ? 1 . This a projection matrix that maps the vector of observed response values into a vector of itted values by yˆ = = X X X X y Hy ( ) ? ? ?1 .