Calculate a 95% confidence interval (Chapter 17) for the mean Cholesterol of heart disease patients.
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Summary statistics for Chol:
(a) Calculate a 95% confidence interval (Chapter 17) for the mean Cholesterol of heart disease patients. Use the t-distribution table and the Cholesterol summary statistics.
Group by: HD
HD | n | Mean | Variance | Std. dev. | Std. err. | Min | Max | Q1 | Q3 | ||
---|---|---|---|---|---|---|---|---|---|---|---|
No | 164 | 242.64024 | 2857.606 | 53.45658 | 4.1742576 | 234.5 | 438 | 126 | 564 | 208.5 | 267.5 |
Yes | 139 | 251.47482 | 2448.9468 | 49.486835 | 4.1974185 | 249 | 278 | 131 | 409 | 217 | 284 |
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- IQ scores for three different blood lead levels was measured. If we use three categories of blood lead levels with measured verbal IQ scores, we get the computer output which is summarized in table form. Using a 0.05 significance test, test the claim that the three categories of blood lead level have the same mean verbal IQ score. Does exposure to lead appear to have an effect on verbal IQ scores? Interpret the table below. Source of variation df Sum of squares Mean squares Computed f p-value LEAD 2 142 71 0.39 0.677 Error 118 21441 182 Total 120 21584pare percentage differences between 2 or more categories of an independent variable), the following statistical test should be used: a. Simple linear regression b. Pearson correlation coefficient c. T test d. Chi-square testCan someone please help me with this question?
- Income and housing revisited In Chapter 6, Exercise 32, we learned that the Office of Federal Housing Enter-prise Oversight (OFHEO) collects data on various as-pects of housing costs around the United States. Here’s a scatterplot (by state) of the Housing Cost Index (HCI)versus the Median Family Income (MFI) for the 50 states.The correlation is r = 0.65. The mean HCI is 338.2,with a standard deviation of 116.55. The mean MFI is$46,234, with a standard deviation of $7072.47.a) Is a regression analysis appropriate? Explain.b) What is the equation that predicts Housing Cost Indexfrom median family income?c) For a state with MFI = +44,993, what would be thepredicted HCI?d) Washington, DC, has an MFI of $44,993 and an HCIof 548.02. How far off is the prediction in c) from theactual HCI?e) If we standardized both variables, what would be theregression equation that predicts standardized HCIfrom standardized MFI?f) If we standardized both variables, what would be theregression equation that…Box plots (Excel)– Analyze each of these cycle time data but on the same chart: C7, C8, C9. That means one chart showing three different box plots, with a single conclusion that addresses all three. Interpret outside value, mean score, N spread, Fence, upper lower and upper outer fences, adjacent, and outside and far out value. C7 C8 C9 19.98211 20.7142 20.21992 20.01223 20.65907 20.00799 20.02408 20.6437 20.02974 19.94534 20.45958 19.94026 19.86814 20.63716 19.796 20.18784 20.65365 20.01327 19.92074 20.54906 20.01064 20.0778 20.5228 20.07752 19.88045 20.47224 19.95005 20.08633 20.61675 20.13076 19.99881 20.62622 20.06755 20.04184 20.42231 20.13078 19.7936 20.61609 19.88701 19.93159 20.52705 19.87559 20.19998 20.58901 19.88053 20.18833 20.49057 19.9302 20.12368 20.68086 19.9738 19.91343 20.57999 19.8936 20.1602 20.34386 20.02487 20.09396 20.62949 20.09329 20.11419 20.66649 20.00717 19.9063 20.71718 20.04545 20.12964 20.43237 19.95537…Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data is shown below, Number of Pages (x) 445 304 721 666 383 794 706 745 904 916 Cost(y) 75.85 61.52 108.73 99.58 71.79 119.22 108.78 112.85 141.52 138.08 Click to Copy-and-Paste Data A student calculates a linear model y = to two decimal places) X + (Please show your answers Use the model above to estimate the cost when number of pages is 503 Cost = $ places.) (Please show your answer to 2 decimal
- 3.Which model do you think is the “best” reduced model? Discuss why you choose this model. Analysis of Variance Table (Step back model) Response: rent Df Sum Sq Mean Sq F value Pr(>F) age 1 21000 21000 17.1136 0.0003079 *** sqft 1 35364 35364 28.8196 1.134e-05 *** sd 1 5961 5961 4.8576 0.0362339 * unts 1 8678 8678 7.0722 0.0130049 * gar 1 33364 33364 27.1899 1.713e-05 *** cp 1 7641 7641 6.2269 0.0189934 * Residuals 27 33131 1227 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Step forward model: Response: rent Df Sum Sq Mean Sq F value Pr(>F) age 1 21000 21000 16.6255 0.000406 *** sqft 1 35364 35364 27.9976 1.757e-05 *** sd 1 5961 5961 4.7191 0.039517 * unts 1 8678 8678 6.8705 0.014697 * gar 1 33364 33364 26.4144 2.599e-05 *** cp 1 7641 7641 6.0493 0.021176 *…Refer to the below table. Using an alpha = 0.05, test the claim that IQ scores are the same for children in three different blood lead level groups: low lead level, medium lead level, and high lead level). One-Way Analysis of Variance Summary Table for IQ Measurements for Children among Three Blood Lead Level Groups: Low Lead Level, Medium Lead Level, and High Lead Level. Source df SS MS F p Between-group (treatment) 2 469.1827 2677.864 2.30 0.104 Within-group (error) 118 203.6918 11745.05 Total 120Stocks and Sunspots. Listed below are annual high values of the Dow Jones Industrial Average (DJIA) and annual mean sunspot numbers for eight recent years. Use the data for Exercises 1–5. A sunspot number is a measure of sunspots or groups of sunspots on the surface of the sun. The DJIA is a commonly used index that is a weighted mean calculated from different stock values. Correlation Use a 0.05 significance level to test for a linear correlation between the DJIA values and the sunspot numbers. Is the result as you expected? Should anyone consider investing in stocks based on sunspot numbers?