It is claimed that the average household in Thunder Bay uses more than 1170 kWh of electricity each month. To test this claim, you carry out a small survey of 25 households. The survey finds an average consumption of 1225 kWh with a standard deviation of 150. Using an alpha value of .01, what conclusion can be reached?
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- What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?Calculate the transmittance percentage (%T) of a sample that has a absorbance of 0.289 at 535nm. 75.2% 28.9% 51.3% 123.1% 48.7%
- The National Institute of Standards and Technology (NIST) supplies "standard materials" whose physical properties are supposed to be known. For example, you can buy from NIST a liquid whose electrical conductivity is supposed to be 5. (The units for conductivity are microsiemens per centimeter. Distilled water has conductivity 0.5.) Of course, no measurement is exactly correct. NIST knows the variability of its measurements very well, so it is quite realistic to assume that the population of all measurements of the same liquid has the Normal distribution with mean μμ equal to the true conductivity and standard deviation σσ = 0.2. Here are 6 measurements on the same standard liquid, which is supposed to have conductivity 5: 5.32 4.88 5.10 4.73 5.15 4.75 NIST wants to give the buyer of this liquid a 96% confidence interval for its true conductivity. What is this interval? ___ to ___Radon is a gas emitted from the ground that can collect in houses in buildings. At certain levels it can cause lung cancer. Radon concentrations are measured in picocuries per liter (pCi/L). A radon level of 4 pCi/L is considered “acceptable” Radon levels in a house vary from week to week. In one house, a sample of 6 weeks had the following readings for radon level (in pCi/L): 1.9 2.8 3.9 3.9 4.2 5.7 Find the variance and standard deviation (definitional formula). Show your work using a table.severe storms indicate that e3.5 feet. Does this information suggest that the storm is (perhaps temporarily) increasing above the severe rating? Use off fxed cement piers. Suppose that a reading of 31 waves showed an average wave height of x= 16.7 feet. Previous studies of Weatherwise is a magazine published by the American Meteorological Society. One issue gives a rating system used to classify Nor'easter storms that frequently hit New England and can cause much damage near the ocean. A severe storm has an average peak wave height of 164 feet for waves hitting the shore. Suppose that a Nor'easter is in progress at the severe storm class rating. Peak wave heights are usually measured from land C (a) What is the level of significance? State the null and alternate hypotheses. Ho: H- 16.4 ft; H:>'16.4 ft Ho: H 16.4 ft; H1: = 16.4 ft Ho: H- 16.4 ft; H: H+ 16.4 ft (b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution. The standard…
- NASA is conducting an experiment to find out the fraction of people who black out at G forces greater than 66. Step 1 of 2 : Suppose a sample of 251251 people is drawn. Of these people, 9595 passed out at G forces greater than 66. Using the data, estimate the proportion of people who pass out at more than 66 Gs. Enter your answer as a fraction or a decimal number rounded to three decimal places.whats the value of alpha?STAT 3128 Homeowrk Section 8.1 - 8.3. Question 1. An article reports the following values for soil heat flux of eight plots covered with coal dust. 34.8 33.7 34.8 35.3 33.3 28.5 18.3 24.6 The mean soil heat flux for plots covered only with grass is 25. Assuming that the heat flux distribution is normal, does the data suggest that the coal dust is effective in increasing the mean heat flux over that for grass? Test the appropriate hypotheses at the significance level 0.05 (a) State the appropriate null and alternative hypotheses. (b) State the distribution of the test statistic and calculate its value. (c) Calculate the p-value or find the critical value for this test. (d) State the conclusion: either reject the null hypothesis or fail to reject the null hypothesis.
- the result of a statistical analysis shows that the tcalculate= 2.37 and the tcritical= 1.40. The alpha of the test was set at 0.05. What are your conclusions concerning the significance of the test? Would your conclusion change if the alpha were changed to 0.10 (assuming the tcritical and tcalculated stayed the same). Explain why or why not.Like hurricanes and earthquakes, geomagnetic storms are natural hazards with possible severe impact on the Earth. Severe storms can cause communication and utility breakdowns, leading to possible blackouts. The National Oceanic and Atmospheric Administration beams electron and proton flux data in various energy ranges to various stations on the Earth to help forecast possible disturbances. The following are 25 readings of proton flux in the 47-68 kEV range (units are in p/ (cm2- sec-ster-MeV)) on the evening of December 28, 2011: 2310 2320 2010 10800 2190 3360 5640 2540 3360 11800 2010 3430 10600 3500 10200 8550 9500 2260 7730 2250 7370 2160 3200 2020 2850 (a) Find a point estimate of the mean proton flux in this time period. (b) Find a point estimate of the standard deviation of the proton flux in this time period. (c) Find an estimate of the standard error of the estimate in part (a).Assuming that the magnitudes are normally distributed, find the percentage of earthquakes with a magnitude higher than 3.18.
