Crowdly
Add to Chrome
STAT-1770-B1-Intro. to Probability & Stat.
Looking for STAT-1770-B1-Intro. to Probability & Stat. test answers and solutions? Browse our comprehensive collection of verified answers for STAT-1770-B1-Intro. to Probability & Stat. at moodle.uleth.ca.
Get instant access to accurate answers and detailed explanations for your course questions. Our community-driven platform helps students succeed!
The percent of fat calories that a person in America consumes each day isnormally distributed with a mean of about 36 and a standard deviation of10. Suppose that one individual is randomly chosen. Let X = percent offat calories.(a) X ∼ -(-,-) ? (b) Find the probability that the percent of fat calories a personconsumes is more than 40. Graph the situation. Shade in the area tobe determined.(c) Find the maximum number for the lower quarter of percent of fat calories. Sketch the graph and write the probability statement
The following are advertised sale prices of color televisions at Anderson’s
| Size (inches) | Sale Price ($) |
| 9 | 147 |
| 20 | 197 |
| 27 | 297 |
| 31 | 447 |
| 35 | 1177 |
| 40 | 2177 |
| 60 | 2497 |
(a) Decide which variable should be the independent variable and whichshould be the dependent variable.(b) Draw a scatter plot of the data.(c) Does it appear from inspection that there is a relationship betweenthe variables? Why or why not?(d) Calculate the least-squares line. Put the equation in the form of:y^ = a + bx(e) Find the correlation coefficient. Is it significant?(f) Find the estimated sale price for a 32 inch television. Find the costfor a 50 inch television.(g) Does it appear that a line is the best way to fit the data? Why orwhy not?
slope
The percent of female wage and salary workers who are paid hourly rates is given in Table below for the years 1979 to 1992.
| Year | Percent of workers paid hourly rates |
| 1979 | 61.2 |
| 1980 | 60.7 |
| 1981 | 61.3 |
| 1982 | 61.3 |
| 1983 | 61.8 |
| 1984 | 61.7 |
| 1985 | 61.8 |
| 1986 | 62.0 |
| 1987 | 62.7 |
| 1990 | 62.8 |
| 1992 | 62.9 |
(a) Using "year" as the independent variable and "percent" as the dependent variable, draw a scatter plot of the data.
(b) Does it appear from inspection that there is a relationship betweenthe variables? Why or why not?(c) Calculate the least-squares line. Put the equation in the form of y = a + bx(d) Find the correlation coefficient. Is it significant?(e) Find the estimated percents for 1991 and 1988.(f) Based on the data, is there a linear relationship between the year andthe percent of female wage and salary earners who are paid hourly rates?(g) Are there any outliers in the data? (i) What is the slope of the least-squares (best-fit) line? Interpret the slope. What is the estimated percent for the year 2050? Does theleast-squares line give an accurate estimate for that year?