Concept explainers
(a)
To find: The
(a)
Answer to Problem 82E
Solution: The mean is 108.9231 and the standard deviation is 13.17.
Explanation of Solution
Calculation: Mean for the IQ scores can be calculated as:
where N is the total number of observations and ‘i’ varies from 1 to 78.
Standard deviation for the IQ scores can be calculated as:
Substitute the values in the formula above:
Interpretation: The mean which is standardized for a large population of IQ is 100 and the mean calculated for provided number of observations is approximately 108.9231. The standard deviation for a large population is standardized to 15 and the calculated standard deviation for provided number of observationsis approximately 13.17097. From the calculation above, the mean of IQ scores among students is 9 points more than that of the overall population and the standard deviation of IQ scores among students is 2 points less than that of the overall population.
(b)
To find: The
(b)
Answer to Problem 82E
Solution: The median of IQ scores is 110. Yes, it is close to the mean.
Explanation of Solution
Calculation: The median can be calculated by following the steps below:
Step 1: Arrange all the observations in ascending order.
Step 2: The number of observation is 78, which is an even number.
Step 3: Median for an even number of observations is the average of
Step 4: The
Step 5: The average of both of the observations is also 110, which is the median.
Interpretation: The median is 110 and the mean calculated in part (a) is 108.9231. As expected, the median is close to the mean, so the curve of probability distribution is more or less symmetric in this case.
(c)
To find: Mean and median for GPA data.
(c)
Answer to Problem 82E
Solution: The mean for the GPA data is 7.447 and the median is 7.829.
Explanation of Solution
Calculation: Mean for the GPA can be calculated as:
The median can be calculated using the following steps:
Step 1: Arrange all the observations in ascending order.
Step 2: The number of observations is 78, which is an even number.
Step 3: Median for an even number of observations is the average of
Step 4: The
Step 5: The average of both of the observations is 7.829, which is the median.
Interpretation: According to the stem plot in Exercise 1.39, the mean and median of GPA differ a bit from each other. More precisely, they are close to each and the distribution is skewed to the left.
Want to see more full solutions like this?
Chapter 1 Solutions
Introduction to the Practice of Statistics
- For context, the images attached below are a question from a June, 2024 past paper in statistical modelingarrow_forwardFor context, the images attached below (question and related graph) are from a February 2024 past paper in statistical modelingarrow_forwardFor context, the images attached below are from a February 2024 past paper in statistical modelingarrow_forward
- For context, the image provided below is a question from a September, 2024 past paper in statistical modelingarrow_forwardFor context, the image below is from a January 2024 past paper in statistical modelingarrow_forwardFor context, the image provided below is a question from a September, 2024 past paper in statistical modelingarrow_forward
- Section 2.2 Subsets 71 Exercise Set 2.2 Practice Exercises In Exercises 1-18, write or in each blank so that the resulting statement is true. 1. {1, 2, 5} {1, 2, 3, 4, 5, 6, 7} 2. {2, 3, 7} {1, 2, 3, 4, 5, 6, 7} 3. {-3, 0, 3} {-4,-3,-1, 1, 3, 4} 4. {-4, 0, 4} 5. {Monday, Friday} {-3, -1, 1, 3} {Saturday, Sunday, Monday, Tuesday, Wednesday} 6. {Mercury, Venus, Earth} {Venus, Earth, Mars, Jupiter} 7. {x/x is a cat} {xx is a black cat} {x|x is a pure-bred dog} ibrary mbers, ause the entire sual 8. {xx is a dog} 9. (c, o, n, v, e, r, s, a, t, i, o, n} {v, o, i, c, e, s, r, a, n, t, o, n} 10. [r, e, v, o, l, u, t, i, o, n} {t, o, l, o, v, e, r, u, i, n} 33. A = {x|x E N and 5 < x < 12} B = {x|x E N and 2 ≤ x ≤ 11} A_ B 34. A = {x|x = N and 3 < x < 10} B = A. {x|x = N and 2 ≤ x ≤ 8} B 35. Ø {7, 8, 9,..., 100} 36. Ø _{101, 102, 103, . . ., 200} 37. [7, 8, 9,...} 38. [101, 102, 103, ...} 39. Ø 40. { } { } e In Exercises 41-54, determine whether each statement is true or false. If…arrow_forwardA = 5.8271 ± 0.1497 = B 1.77872 ± 0.01133 C=0.57729 ± 0.00908 1. Find the relative uncertainty of A, B, and C 2. Find A-3 3. Find 7B 4. Find A + B 5. Find A B-B - 6. Find A * B 7. Find C/B 8. Find 3/A 9. Find A 0.3B - 10. Find C/T 11. Find 1/√A 12. Find AB²arrow_forwardWhy charts,graphs,table??? difference between regression and correlation analysis.arrow_forward
- You’re scrolling through Instagram and you notice that a lot of people are posting selfies. This piques yourcuriosity and you want to estimate the percentage of photos on Instagram that are selfies.(a) (5 points) Is there a “ground truth” for the percentage of selfies on Instagram? Why or why not?(b) (5 points) Is it possible to estimate the ground truth percentage of selfies on Instagram?Irrespective of your answer to the previous question, you decide to pull up n = 250 randomly chosenphotos from your friends’ Instagram accounts and find that 32% of these photos are selfies.(c) (15 points) Determine which of the following is an observation, a variable, a sample statistic (valuecalculated based on the observed sample), or a population parameter.• A photo on Instagram.• Whether or not a photo is a selfie.• Percentage of all photos on Instagram that are selfies.• 32%.(d) (5 points) Based on the sample you collected, do you think 32% is a reliable ballpark estimate for theground truth…arrow_forwardCan you explain this statement below in layman's terms? Secondary Analysis with Generalized Linear Mixed Model with clustering for Hospital Center and ICUvs Ward EnrolmentIn a secondary adjusted analysis we used generalized linear mixed models with random effects forcenter (a stratification variable in the primary analyses). In this analysis, the relative risk for the primaryoutcome of 90-day mortality for 7 versus 14 days of antibiotics was 0.90 (95% Confidence Interval [CI]0.78, 1.05).arrow_forwardIn a crossover trial comparing a new drug to a standard, π denotes the probabilitythat the new one is judged better. It is desired to estimate π and test H0 : π = 0.5against H1 : π = 0.5. In 20 independent observations, the new drug is better eachtime.(a) Find and plot the likelihood function. Give the ML estimate of π (Hint: youmay use the plot function in R)arrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman