3.1 Practice
Consider the following data and corresponding weights.
x i | Weight( w i) |
3.2 | 6 |
3.0 | 4 |
1.5 | 1 |
5.0 | 9 |
a. Compute the weighted mean (to 3 decimals).
b. Compute the sample mean of the four data values without weighting (to 3 decimals).
3.1 Practice Consider the following data and corresponding weights. x i Weight( w i) 3.2 6...
2. The following are data for thickness (in cm) of tree bark, obtained from a SRS. Let's assume 1.3 cm for the population. that σ 3.0 3.2 1.7 0.3 2.4 2.6 2.7 1.5 2.0 3.1 0.2 2.2 3.6 3.2 4.0 1.3 3.2 2.3 2.7 1.4 1.6 (a) (4 points) Make a histogram of the data. Is there evidence against the conjecture that the data comes from a Normal distribution? (b) (4 points) Construct a 96% confidence interval for the mean...
3. The following data represents the weights (X, in pounds) of students in a statistics study group. a) Organize the data into a spreadsheet. b) Compute the mean weight. c) Compute the range of weights. d) Compute the standard deviation of weights. 167, 138, 195, 187, 165, 130 can anyone help me with this? thanks
Consider the following gasoline sales time series data. Click on the datafile logo to reference the data. Week Sales (1000s of gallons) 1 17 2 20 3 19 4 23 5 18 6 16 7 19 8 18 9 23 10 19 11 15 12 22 a. Using a weight of for the most recent observation, for the second most recent observation, and third the most recent observation, compute a three-week...
QUESTION 1 a) Consider the data of Table 1.1 which specifies the "life" of 40 similar car batteries recorded to the nearest tenth of a year. The batteries are guaranteed to last 3 years. Table 1.1 3.5 2.2 3.4 2.5 3.3 4.1 1.6 4.3 3.1 3.8 3.1 3.4 3.7 3.4 4.5 3.3 3.6 4.4 2.6 3.2 3.8 2.9 3.2 3.9 3.7 3.1 3.3 4.1 3.0 3.0 4.7 3.9 1.9 4.2 2.6 3.7 3.1 3.4 3.5 4.7 (i) Represent the above...
Consider the following gasoline sales time series data. Click onthe datafile logo to reference the data. Week Sales (1000s of gallons) 17 21 17 15 20 18 21 21 16 21 6 10 12 a. Using a weight of for the most recent observation, for the second most recent observation, and the time series (to 2 decimals). Enter negative values as negative numbers. third the most recent observation, compute a three-week weighted moving average for Forecast Weighted Moving Average Forecast...
Below are four bivariate data sets and the scatter plot for each. (Note that each scatter plot is displayed on the same scale.) Each data set is made up of sample values drawn from a population. x y 1.0 7.9 2.0 5.1 3.0 10.1 4.0 6.4 х 11 10+ 9+ 8+ 7+ 6+ 5- X X 1.0 7.3 117 10+ 2.0 9.0 9+ 3.0 7.3 8+ 7 4.0 5.6 6+ 5.0 7.9 5 4 6.0 5.3 2 7.0 4.8 5.0...
(3.2) Consider the data given in the following table 05 1 15 f(x) 0 2 0 6 1 2 20 (4) (a) Approximate f with a function of the form q (x) = kxm (4) (b) Approximate f with a function of the form g2(x) = be Which approximation between q and g2 1s more appropriate for the given data? Justify your (3) (c) answer < In, and a piecewise cubic polynomial Consider a set of points (I,) Such that...
2.0 2.5 2 4.0 8 (a) Compute the weighted mean. (Round your answer to three decimal places.) 13.44 (b) Compute the sample mean of the four data values without weighting. 3.025 Note the difference in the results provided by the two computations. Need Help? Read Walch 3. [O/10 Points) DETAILS PREVIOUS ANSWERS ASWSBE14 3.E.005.MI. Consider a sample with data values of 26, 25, 20. i5, 1, 33.29, and 25. Compute the 20th 25th, 65th, and 75th percentiles. 20th percentile 22x...
A manufacturer produces 25-pound lifting weights. The lowest actual weight is 24 pounds, and the highest is 26 pounds. Each weight is equally likely so the distribution of weights is uniform. A sample of 100 weights is taken. a. What is the distribution for the weights of one 25-pound lifting weight? What is the mean and standard deviation? b. What is the distribution for the mean weight of 100 25-pound lifting weights? c. Find the probability that the mean actual...
1) Consider the following data for ALL Los Angeles Rams home games for the 2018 NFL season: Points Offensive yards 34 432 35 521 38 556 29 416 36 456 54 455 23 407 48 377 a) Compute the points and offensive yards. (2 points) b) Compute the standard deviation of points and offensive yards. (5 points) c) Compute the covariance between points and offensive yards. Provide an interpretation of the covariance. (7 points) d) Compute the correlation coefficient between...