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11 Surprising Homework Statistics, Facts & Data
The age-old question of whether homework is good or bad for students is unanswerable because there are so many ā it depends ā factors.
For example, it depends on the age of the child, the type of homework being assigned, and even the childās needs.
There are also many conflicting reports on whether homework is good or bad. This is a topic that largely relies on data interpretation for the researcher to come to their conclusions.
To cut through some of the fog, below Iāve outlined some great homework statistics that can help us understand the effects of homework on children.
Homework Statistics List
1. 45% of parents think homework is too easy for their children.
A study by the Center for American Progress found that parents are almost twice as likely to believe their childrenās homework is too easy than to disagree with that statement.
Here are the figures for math homework:
- 46% of parents think their childās math homework is too easy.
- 25% of parents think their childās math homework is not too easy.
- 29% of parents offered no opinion.
Here are the figures for language arts homework:
- 44% of parents think their childās language arts homework is too easy.
- 28% of parents think their childās language arts homework is not too easy.
- 28% of parents offered no opinion.
These findings are based on online surveys of 372 parents of school-aged children conducted in 2018.
2. 93% of Fourth Grade Children Worldwide are Assigned Homework
The prestigious worldwide math assessment Trends in International Maths and Science Study (TIMSS) took a survey of worldwide homework trends in 2007. Their study concluded that 93% of fourth-grade children are regularly assigned homework, while just 7% never or rarely have homework assigned.
3. 17% of Teens Regularly Miss Homework due to Lack of High-Speed Internet Access
A 2018 Pew Research poll of 743 US teens found that 17%, or almost 2 in every 5 students, regularly struggled to complete homework because they didnāt have reliable access to the internet.
This figure rose to 25% of Black American teens and 24% of teens whose families have an income of less than $30,000 per year.
4. Parents Spend 6.7 Hours Per Week on their Childrenās Homework
A 2018 study of 27,500 parents around the world found that the average amount of time parents spend on homework with their child is 6.7 hours per week. Furthermore, 25% of parents spend more than 7 hours per week on their childās homework.
American parents spend slightly below average at 6.2 hours per week, while Indian parents spend 12 hours per week and Japanese parents spend 2.6 hours per week.
5. Students in High-Performing High Schools Spend on Average 3.1 Hours per night Doing Homework
A study by Galloway, Conner & Pope (2013) conducted a sample of 4,317 students from 10 high-performing high schools in upper-middle-class California.
Across these high-performing schools, students self-reported that they did 3.1 hours per night of homework.
Graduates from those schools also ended up going on to college 93% of the time.
6. One to Two Hours is the Optimal Duration for Homework
A 2012 peer-reviewed study in the High School Journal found that students who conducted between one and two hours achieved higher results in tests than any other group.
However, the authors were quick to highlight that this āt is an oversimplification of a much more complex problem.ā Iām inclined to agree. The greater variable is likely the quality of the homework than time spent on it.
Nevertheless, one result was unequivocal: that some homework is better than none at all : āstudents who complete any amount of homework earn higher test scores than their peers who do not complete homework.ā
7. 74% of Teens cite Homework as a Source of Stress
A study by the Better Sleep Council found that homework is a source of stress for 74% of students. Only school grades, at 75%, rated higher in the study.
That figure rises for girls, with 80% of girls citing homework as a source of stress.
Similarly, the study by Galloway, Conner & Pope (2013) found that 56% of students cite homework as a āprimary stressorā in their lives.
8. US Teens Spend more than 15 Hours per Week on Homework
The same study by the Better Sleep Council also found that US teens spend over 2 hours per school night on homework, and overall this added up to over 15 hours per week.
Surprisingly, 4% of US teens say they do more than 6 hours of homework per night. Thatās almost as much homework as there are hours in the school day.
The only activity that teens self-reported as doing more than homework was engaging in electronics, which included using phones, playing video games, and watching TV.
9. The 10-Minute Rule
The National Education Association (USA) endorses the concept of doing 10 minutes of homework per night per grade.
For example, if you are in 3rd grade, you should do 30 minutes of homework per night. If you are in 4th grade, you should do 40 minutes of homework per night.
However, this āruleā appears not to be based in sound research. Nevertheless, it is true that homework benefits (no matter the quality of the homework) will likely wane after 2 hours (120 minutes) per night, which would be the NEA guidelinesā peak in grade 12.
10. 21.9% of Parents are Too Busy for their Childrenās Homework
An online poll of nearly 300 parents found that 21.9% are too busy to review their childrenās homework. On top of this, 31.6% of parents do not look at their childrenās homework because their children do not want their help. For these parents, their childrenās unwillingness to accept their support is a key source of frustration.
11. 46.5% of Parents find Homework too Hard
The same online poll of parents of children from grades 1 to 12 also found that many parents struggle to help their children with homework because parents find it confusing themselves. Unfortunately, the study did not ask the age of the students so more data is required here to get a full picture of the issue.
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Interpreting the Data
Unfortunately, homework is one of those topics that can be interpreted by different people pursuing differing agendas. All studies of homework have a wide range of variables, such as:
- What age were the children in the study?
- What was the homework they were assigned?
- What tools were available to them?
- What were the cultural attitudes to homework and how did they impact the study?
- Is the study replicable?
The more questions we ask about the data, the more we realize that itās hard to come to firm conclusions about the pros and cons of homework .
Furthermore, questions about the opportunity cost of homework remain. Even if homework is good for childrenās test scores, is it worthwhile if the children consequently do less exercise or experience more stress?
Thus, this ends up becoming a largely qualitative exercise. If parents and teachers zoom in on an individual childās needs, theyāll be able to more effectively understand how much homework a child needs as well as the type of homework they should be assigned.
Related: Funny Homework Excuses
The debate over whether homework should be banned will not be resolved with these homework statistics. But, these facts and figures can help you to pursue a position in a school debate on the topic ā and with that, I hope your debate goes well and you develop some great debating skills!
Chris Drew (PhD)
Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]
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APĀ®ļø/College Statistics
Unit 1: exploring categorical data, unit 2: exploring one-variable quantitative data: displaying and describing, unit 3: exploring one-variable quantitative data: summary statistics, unit 4: exploring one-variable quantitative data: percentiles, z-scores, and the normal distribution, unit 5: exploring two-variable quantitative data, unit 6: collecting data, unit 7: probability, unit 8: random variables and probability distributions, unit 9: sampling distributions, unit 10: inference for categorical data: proportions, unit 11: inference for quantitative data: means, unit 12: inference for categorical data: chi-square, unit 13: inference for quantitative data: slopes, unit 14: prepare for the 2022 apĀ®ļø statistics exam.
Week 5 Statistics 5.2 Fall 1 2023
Helping math teachers bring statistics to life
Random Variables
Chapter 5 Lesson Plans
Chapter 1 Chapter 2
Eoy project.
Day 1: Lesson 5.1 - Introduction to Random Variables Day 2: Lesson 5.2 - Analyzing Discrete Random Variables
Day 3: Mathalicious - Basketball IQ Day 4: Mathalicious - Three Shots Day 5: Lesson 5.3 - Binomial Random Variables Day 6: Lesson 5.4 - Analyzing Binomial Random Variables Day 7: Quiz 5.1 to 5.4 Day 8: Lesson 5.5 - Continuous Random Variables Day 9: Lesson 5.6 - The Standard Normal Distribution Day 10: Lesson 5.7 - Normal Distributions Calculations Day 11: Normal Distributions Practice Day 12: Quiz 5.5 to 5.7 Day 13: Chapter 5 Review Day 14: Normal Distribution Foldable Review Day 15: Chapter 5 Test
- Introduction
- 1.1 Definitions of Statistics, Probability, and Key Terms
- 1.2 Data, Sampling, and Variation in Data and Sampling
- 1.3 Frequency, Frequency Tables, and Levels of Measurement
- 1.4 Experimental Design and Ethics
- 1.5 Data Collection Experiment
- 1.6 Sampling Experiment
- Chapter Review
- Bringing It Together: Homework
- 2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs
- 2.2 Histograms, Frequency Polygons, and Time Series Graphs
- 2.3 Measures of the Location of the Data
- 2.4 Box Plots
- 2.5 Measures of the Center of the Data
- 2.6 Skewness and the Mean, Median, and Mode
- 2.7 Measures of the Spread of the Data
- 2.8 Descriptive Statistics
- Formula Review
- 3.1 Terminology
- 3.2 Independent and Mutually Exclusive Events
- 3.3 Two Basic Rules of Probability
- 3.4 Contingency Tables
- 3.5 Tree and Venn Diagrams
- 3.6 Probability Topics
- Bringing It Together: Practice
- 4.1 Probability Distribution Function (PDF) for a Discrete Random Variable
- 4.2 Mean or Expected Value and Standard Deviation
- 4.3 Binomial Distribution (Optional)
- 4.4 Geometric Distribution (Optional)
- 4.5 Hypergeometric Distribution (Optional)
- 4.6 Poisson Distribution (Optional)
- 4.7 Discrete Distribution (Playing Card Experiment)
- 4.8 Discrete Distribution (Lucky Dice Experiment)
- 5.1 Continuous Probability Functions
- 5.2 The Uniform Distribution
- 5.3 The Exponential Distribution (Optional)
- 5.4 Continuous Distribution
- 6.1 The Standard Normal Distribution
- 6.2 Using the Normal Distribution
- 6.3 Normal DistributionāLap Times
- 6.4 Normal DistributionāPinkie Length
- 7.1 The Central Limit Theorem for Sample Means (Averages)
- 7.2 The Central Limit Theorem for Sums (Optional)
- 7.3 Using the Central Limit Theorem
- 7.4 Central Limit Theorem (Pocket Change)
- 7.5 Central Limit Theorem (Cookie Recipes)
- 8.1 A Single Population Mean Using the Normal Distribution
- 8.2 A Single Population Mean Using the Student's t-Distribution
- 8.3 A Population Proportion
- 8.4 Confidence Interval (Home Costs)
- 8.5 Confidence Interval (Place of Birth)
- 8.6 Confidence Interval (Women's Heights)
- 9.1 Null and Alternative Hypotheses
- 9.2 Outcomes and the Type I and Type II Errors
- 9.3 Distribution Needed for Hypothesis Testing
- 9.4 Rare Events, the Sample, and the Decision and Conclusion
- 9.5 Additional Information and Full Hypothesis Test Examples
- 9.6 Hypothesis Testing of a Single Mean and Single Proportion
- 10.1 Two Population Means with Unknown Standard Deviations
- 10.2 Two Population Means with Known Standard Deviations
- 10.3 Comparing Two Independent Population Proportions
- 10.4 Matched or Paired Samples (Optional)
- 10.5 Hypothesis Testing for Two Means and Two Proportions
- 11.1 Facts About the Chi-Square Distribution
- 11.2 Goodness-of-Fit Test
- 11.3 Test of Independence
- 11.4 Test for Homogeneity
- 11.5 Comparison of the Chi-Square Tests
- 11.6 Test of a Single Variance
- 11.7 Lab 1: Chi-Square Goodness-of-Fit
- 11.8 Lab 2: Chi-Square Test of Independence
- 12.1 Linear Equations
- 12.2 The Regression Equation
- 12.3 Testing the Significance of the Correlation Coefficient (Optional)
- 12.4 Prediction (Optional)
- 12.5 Outliers
- 12.6 Regression (Distance from School) (Optional)
- 12.7 Regression (Textbook Cost) (Optional)
- 12.8 Regression (Fuel Efficiency) (Optional)
- 13.1 One-Way ANOVA
- 13.2 The F Distribution and the F Ratio
- 13.3 Facts About the F Distribution
- 13.4 Test of Two Variances
- 13.5 Lab: One-Way ANOVA
- A | Appendix A Review Exercises (Ch 3ā13)
- B | Appendix B Practice Tests (1ā4) and Final Exams
- C | Data Sets
- D | Group and Partner Projects
- E | Solution Sheets
- F | Mathematical Phrases, Symbols, and Formulas
- G | Notes for the TI-83, 83+, 84, 84+ Calculators
You are testing that the mean speed of your cable internet connection is more than three megabits per second. What is the random variable? Describe it in words.
You are testing that the mean speed of your cable internet connection is more than three megabits per second. State the null and alternative hypotheses.
The American family has an average of two children. What is the random variable? Describe in words.
The mean entry level salary of an employee at a company is $58,000. You believe it is higher for IT professionals in the company. State the null and alternative hypotheses.
A sociologist claims the probability that a person picked at random in Times Square in New York City is visiting the area is 0.83. You want to test to see if the proportion is actually less. What is the random variable? Describe in words.
A sociologist claims the probability that a person picked at random in Times Square in New York City is visiting the area is 0.83. You want to test to see if the claim is correct. State the null and alternative hypotheses.
In a population of fish, approximately 42 percent are female. A test is conducted to see if, in fact, the proportion is less. State the null and alternative hypotheses.
Suppose that a recent article stated that the mean time students spend doing homework each week is 2.5 hours. A study was then done to see if the mean time has increased in the new century. A random sample of 26 students. The mean length of time the students spent on homework was 3 hours with a standard deviation of 1.8 hours. Suppose that it is somehow known that the population standard deviation is 1.5. If you were conducting a hypothesis test to determine if the mean length of homework has increased, what would the null and alternative hypotheses be? The distribution of the population is normal.
- H 0 : ________
- H a : ________
A random survey of 75 long-term marathon runners revealed that the mean length of time they've been running is 17.4 years with a standard deviation of 6.3 years. If you were conducting a hypothesis test to determine if the population mean time for these runners could likely be 15 years, what would the null and alternative hypotheses be?
- H 0 : __________
- H a : __________
Researchers published an article stating that in any one-year period, approximately 9.5 percent of American adults suffer from a particular type of disease. Suppose that in a survey of 100 people in a certain town, seven of them suffered from this disease. If you were conducting a hypothesis test to determine if the true proportion of people in that town suffering from this disease is lower than the percentage in the general adult American population, what would the null and alternative hypotheses be?
The mean price of mid-sized cars in a region is $32,000. A test is conducted to see if the claim is true. State the Type I and Type II errors in complete sentences.
A sleeping bag is tested to withstand temperatures of ā15 Ā°F. You think the bag cannot stand temperatures that low. State the Type I and Type II errors in complete sentences.
For Exercise 9.12 , what are Ī± and Ī² in words?
In words, describe 1 ā Ī² for Exercise 9.12 .
A group of doctors is deciding whether or not to perform an operation. Suppose the null hypothesis, H 0 , is: the surgical procedure will go well. State the Type I and Type II errors in complete sentences.
A group of doctors is deciding whether or not to perform an operation. Suppose the null hypothesis, H 0 , is: the surgical procedure will go well. Which is the error with the greater consequence?
The power of a test is 0.981. What is the probability of a Type II error?
A group of divers is exploring an old sunken ship. Suppose the null hypothesis, H 0 , is the sunken ship does not contain buried treasure. State the Type I and Type II errors in complete sentences.
A microbiologist is testing a water sample for E. coli. Suppose the null hypothesis, H 0 , is the sample does not contain E. coli. The probability that the sample does not contain E. coli, but the microbiologist thinks it does is 0.012. The probability that the sample does contain E. coli, but the microbiologist thinks it does not is 0.002. What is the power of this test?
A microbiologist is testing a water sample for E. coli. Suppose the null hypothesis, H 0 , is the sample contains E-coli. Which is the error with the greater consequence?
Which two distributions can you use for hypothesis testing for this chapter?
Which distribution do you use when the standard deviation is not known? Assume sample size is large.
Which distribution do you use when the standard deviation is not known and you are testing one population mean? Assume sample size is large.
A population mean is 13. The sample mean is 12.8, and the sample standard deviation is two. The sample size is 20. What distribution should you use to perform a hypothesis test? Assume the underlying population is normal.
A population has a mean of 25 and a standard deviation of five. The sample mean is 24, and the sample size is 108. What distribution should you use to perform a hypothesis test?
It is thought that 42 percent of respondents in a taste test would prefer Brand A . In a particular test of 100 people, 39 percent preferred Brand A . What distribution should you use to perform a hypothesis test?
You are performing a hypothesis test of a single population mean using a Studentās t -distribution. What must you assume about the distribution of the data?
You are performing a hypothesis test of a single population mean using a Studentās t -distribution. The data are not from a simple random sample. Can you accurately perform the hypothesis test?
You are performing a hypothesis test of a single population proportion. What must be true about the quantities of np and nq ?
You are performing a hypothesis test of a single population proportion. You find out that np is less than five. What must you do to be able to perform a valid hypothesis test?
You are performing a hypothesis test of a single population proportion. The data come from which distribution?
When do you reject the null hypothesis?
The probability of winning the grand prize at a particular carnival game is 0.005. Is the outcome of winning very likely or very unlikely?
The probability of winning the grand prize at a particular carnival game is 0.005. Michele wins the grand prize. Is this considered a rare or common event? Why?
It is believed that the mean height of high school students who play basketball on the school team is 73 inches with a standard deviation of 1.8 inches. A random sample of 40 players is chosen. The sample mean was 71 inches, and the sample standard deviation was 1.5 inches. Do the data support the claim that the mean height is less than 73 inches? The p -value is almost zero. State the null and alternative hypotheses and interpret the p -value.
The mean age of graduate students at a university is at most 31 years with a standard deviation of two years. A random sample of 15 graduate students is taken. The sample mean is 32 years and the sample standard deviation is three years. Are the data significant at the 1 percent level? The p -value is 0.0264. State the null and alternative hypotheses and interpret the p -value.
Does the shaded region represent a low or a high p -value compared to a level of significance of 1 percent?
What should you do when Ī± > p -value?
What should you do if Ī± = p -value?
If you do not reject the null hypothesis, then it must be true. Is that statement correct? State why or why not in complete sentences.
Use the following information to answer the next seven exercises: Suppose that a recent article stated that the mean time students spend doing homework each week is 2.5 hours. A study was then done to see if the mean time has increased in the new century. A random sample of 26 students was taken. The mean length of time they did homework each week was three hours with a standard deviation of 1.8 hours. Suppose that it is somehow known that the population standard deviation is 1.5. Conduct a hypothesis test to determine if the mean length of time doing homework each week has increased. Assume the distribution of homework times is approximately normal.
Is this a test of means or proportions?
- What symbol represents the random variable for this test?
- In words, define the random variable for this test.
Is Ļ known and, if so, what is it?
Calculate the following:
- x ĀÆ x ĀÆ _______
- s x _______
Since both Ļ and s x s x are given, which should be used? In one to two complete sentences, explain why.
- State the distribution to use for the hypothesis test.
A random survey of 75 long-term marathon runners revealed that the mean length of time they have been running is 17.4 years with a standard deviation of 6.3 years. Conduct a hypothesis test to determine if the population mean time is likely to be 15 years.
- Is this a test of one mean or proportion?
- State the null and alternative hypotheses. H 0 : ____________________ H a : ____________________
- Is this a right-tailed, left-tailed, or two-tailed test?
- Is the population standard deviation known and, if so, what is it?
- x ĀÆ x ĀÆ = _____________
- s = ____________
- n = ____________
- Which test should be used?
- Find the p -value.
- Reason for the decision:
- Conclusion (write out in a complete sentence):
Assume H 0 : Ī¼ = 9 and H a : Ī¼ < 9. Is this a left-tailed, right-tailed, or two-tailed test?
Assume H 0 : Ī¼ ā¤ 6 and H a : Ī¼ > 6. Is this a left-tailed, right-tailed, or two-tailed test?
Assume H 0 : p = 0.25 and H a : p ā 0.25. Is this a left-tailed, right-tailed, or two-tailed test?
Draw the general graph of a left-tailed test.
Draw the graph of a two-tailed test.
A bottle of water is labeled as containing 16 fluid ounces of water. You believe it is less than that. What type of test would you use?
Your friend claims that his mean golf score is 63. You want to show that it is higher than that. What type of test would you use?
A bathroom scale claims to be able to identify correctly any weight within a pound. You think that it cannot be that accurate. What type of test would you use?
You flip a coin and record whether it shows heads or tails. You know the probability of getting heads is 50 percent, but you think it is less for this particular coin. What type of test would you use?
If the alternative hypothesis has a not equals ( ā ) symbol, you know to use which type of test?
Assume the null hypothesis states that the mean is at least 18. Is this a left-tailed, right-tailed, or two-tailed test?
Assume the null hypothesis states that the mean is at most 12. Is this a left-tailed, right-tailed, or two-tailed test?
Assume the null hypothesis states that the mean is equal to 88. The alternative hypothesis states that the mean is not equal to 88. Is this a left-tailed, right-tailed, or two-tailed test?
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A 2018 Pew Research poll of 743 US teens found that 17%, or almost 2 in every 5 students, ... The debate over whether homework should be banned will not be resolved with these homework statistics. But, these facts and figures can help you to pursue a position in a school debate on the topic - and with that, I hope your debate goes well and ...
Unit 1 Analyzing categorical data Unit 2 Displaying and comparing quantitative data Unit 3 Summarizing quantitative data Unit 4 Modeling data distributions Unit 5 Exploring bivariate numerical data Unit 6 Study design Unit 7 Probability Unit 8 Counting, permutations, and combinations Unit 9 Random variables Unit 10 Sampling distributions
2.2 Histograms, Frequency Polygons, and Time Series Graphs; 2.3 Measures of the Location of the Data; 2.4 Box Plots; 2.5 Measures of the Center of the Data; 2.6 Skewness and the Mean, Median, and Mode; 2.7 Measures of the Spread of the Data; 2.8 Descriptive Statistics; Key Terms; Chapter Review; Formula Review; Practice; Homework; Bringing It ...
The notation P (F|E) means the probability of event F given event E. True. Study with Quizlet and memorize flashcards containing terms like In a probability model, the sum of the probabilities of all outcomes must equal 1. True or False?, Probability of a measure of the likelihood of a random phenomenon or chance behavior.
2.2 Histograms, Frequency Polygons, and Time Series Graphs; 2.3 Measures of the Location of the Data; 2.4 Box Plots; 2.5 Measures of the Center of the Data; 2.6 Skewness and the Mean, Median, and Mode; 2.7 Measures of the Spread of the Data; 2.8 Descriptive Statistics; Key Terms; Chapter Review; Formula Review; Practice; Homework; Bringing It ...
2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs; 2.2 Histograms, Frequency Polygons, and Time Series Graphs; 2.3 Measures of the Location of the Data; 2.4 Box Plots; 2.5 Measures of the Center of the Data; 2.6 Skewness and the Mean, Median, and Mode; 2.7 Measures of the Spread of the Data; 2.8 Descriptive Statistics; Key Terms ...
APĀ®ļø/College Statistics 14 units Ā· 137 skills. Unit 1 Exploring categorical data. Unit 2 Exploring one-variable quantitative data: Displaying and describing. Unit 3 Exploring one-variable quantitative data: Summary statistics. Unit 4 Exploring one-variable quantitative data: Percentiles, z-scores, and the normal distribution.
Statistics document from Florida Institute of Technology, 2 pages, Probability Erika McGuire Florida Institute of Technology EST 2703: Statistics Professor Lisa Whitaker 09/27/2023 Equation: z= ( 18.01ā0 ) z=3.60 5 1) : P(X > 9) z= 9ā18.01 =ā1.802 5 Based on the table the probability is .0359 1-.0359 = 0.9641 2ā18.01 =ā3
Question: SECTION 5.2 Normal Distributions: Finding Probabilities 249 For Extra Help: MyLab Statistics Building Basic Skills and Vocabulary Computing Probabilities for Normal Distributions In Exercises 1-6, the random variable x is normally distributed with mean p = 174 and standard deviation o = 20. Find the indicated probability. 1.
Terms in this set (5) Sample Space Every possible outcome in a chance event. Probability Model A table displaying every outcome possible and its probability. Event Multiple outcomes joined by some characteristic. Mutually Exclusive Events (Disjoint) Two events with no outcomes in common. Venn Diagrams
Balka ISE 1.09 2.5. CHAPTER EXERCISES 5 2.5 ChapterExercises 9.(a)Allstudentsatthisuniversity. (b)No,itisnotasimplerandomsample. Samplingmethodslikethisaresome-timescalledconvenience sampling. (c)The volunteers may be fundamentally diļ¬erent from other students at the university. (Perhaps the small giveaways and a chance of a $100 gift card
78. Student grades on a chemistry exam were 77, 78, 76, 81, 86, 51, 79, 82, 84, and 99. Construct a stem-and-leaf plot of the data. Are there any potential outliers? If so, which scores are they? Why do you consider them outliers? 79. Table 2.64 contains the 2010 rates for a specific disease in U.S. states and Washington, DC. Table 2.64
Math; Statistics and Probability; Statistics and Probability questions and answers; Homework: Section 5.2 Homework Save Score: 0 of 1 pt < 15 of 16 (10 complete) W Score: 62.5%, 10 of 16 pts 5.2.17-T Is Question Help O Assume that random guesses are made for nine multiple choice questions on an SAT test, so that there are n = 9 trials, each with probability of success (correct) given by p=0.5.
Textbook solutions Verified Chapter 1: Probability and Distributions Exercise 1 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Exercise 7 Exercise 8 Exercise 9 Exercise 10 Exercise 11 Exercise 12 Exercise 13 Exercise 14 Exercise 15 Exercise 16 Exercise 17 Exercise 18 Exercise 19 Exercise 20 Exercise 21 Exercise 22 Exercise 23 Exercise 24
Homework 5 2. Unlike the newborn's weight from question 1, it is assumed that the distribution of the age of death from natural causes (heart disease, cancer, etc.) is left-skewed. Most such deaths happen at older ages, with fewer cases happening at younger ages. Let's suppose that the mean age of death from natural causes is 70 years with a standard deviation of 6 years.
Ch. 2 Solutions - Statistics | OpenStax Solutions Highlights 1. Table 2.87 3. Table 2.88 5. Figure 2.53 7. Figure 2.54 9. Figure 2.55 11. Figure 2.56 13. 65 15. The relative frequency shows the proportion of data points that have each value. The frequency tells the number of data points that have each value. 17. Answers will vary.
Day 6: Lesson 5.4 - Analyzing Binomial Random Variables Day 7: Quiz 5.1 to 5.4 Day 8: Lesson 5.5 - Continuous Random Variables Day 9: Lesson 5.6 - The Standard Normal Distribution Day 10: Lesson 5.7 - Normal Distributions Calculations Day 11: Normal Distributions Practice Day 12: Quiz 5.5 to 5.7 Day 13: Chapter 5 Review
Question: Applied Statistics home > 5.2: Hypothesis test for a population mean zyBooks cata 522: Excel: Hypothesis test for a population mean Elink to download the spreadsheet for use in this activity. Jump to level 1 Use Sheet 1 of the Excel file to answer the following questions. A school administrator believes that the mean class GPAs for a ...
Chapter 1: Introduction to Statistics Section 1-1: Statistical and Critical Thinking Section 1-2: Types of Data Section 1-3: Collecting Sample Data Page 35: Review Exercises Page 35: Chapter Quick Quiz Page 37: Cumulative Review Exercises Exercise 1 Exercise 2a Exercise 2b Exercise 3 Exercise 4 Exercise 5 Exercise 6 Exercise 7 Exercise 8 Exercise 9
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A certain small town in the United states has a population of 27,873 people. Their ages are as follows: Table 2.78 Construct a histogram of the age distribution for this small town. The bars will not be the same width for this example. Why not? What impact does this have on the reliability of the graph?
1. You are testing that the mean speed of your cable internet connection is more than three megabits per second. What is the random variable? Describe it in words. 2. You are testing that the mean speed of your cable internet connection is more than three megabits per second. State the null and alternative hypotheses. 3.