X is a normally distributed random variable with mean 22 and standard deviation 19. What is the probability that X is between 3 and 41? Use the 0.68-0.95-0.997 rule and write your answer as a decimal. Submit
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- TRANSIT COMPETITIVENESS with respect to active modes Bike U = exp ( -5.445 – 3.115*In(Tdist) ) Walk U = exp ( -6.454 – 4.307*In(Tdist) ) Transit U = exp ( -4.35 – 0.03608*lvTime – 0.0576*TranWait1 – 0.09956*WalkTime -1.304*In(Tdist) ) QUESTIONS 1. For what distance (Tdist) the utilities of Transit and Bike are equal? 2. For what distance (Tdist) the utilities of Transit and Walk are equal? 3. For what distance (Tdist) the utilities of Bike and Walk are equal? Discuss your results, are they reasonable? Assume same travel distance (in vehicle and for bike and walk) plus: a walk distance of 0.5 mile for transit, no bus transfers, waiting 5 minutes for bus, walking speed is 3 mph, and bus speed is 14 mph.Use the technology display to make a decision to reject or fail to reject the null hypothesis at a=0.01. Make the decision using the standardized test statistic and using the P-value. Assume the sample sizes are equal Click the icon to view the technology display. Choose the correct answer below. O A. Reject the null hypothesis because the P-value is less than the level of significance. OB. Reject the null hypothesis because the P-value is greater than the level of significance OC. Fail to reject the null hypothesis because the P-value is greater than the level of significance OD. Fail to reject the null hypothesis because the P-value is less than the level of significance CHI Technology Output μ1> μ2 z 2.609496821 p=0.0045337744 x1 = 47 x2 = 44 In1=45 2-SampZTest Print Done - XRegression analysis
- Regression49 and 50 pls ease help w hw5. Interpreting dummy variables for multiple categories when the dependent variable is log(y) Consider the following estimated model, where the dependent variable is the log of the hourly wage: log (wage) 0.417 + 0.297 female + 0.053 married + 0.08 educ + 0.029 exper - 0.001 exper² + 0.032 tenure - 0.001 tenure² The coefficient of married implies that the so-called marriage premium is estimated to be about Suppose a regression model has different intercepts for seven groups or categories. Then to ensure the quality of the regression model, we need to include dummy variables in the model, an intercept.
- Numerical methods examplet Test for TWO DEPENDENT (Related) SAMPLES (Show all work) A manufacturer of a gas additive claims that it improves gas mileage. A random sample of 40 drivers tests this claim by determining their gas mileage for a full tank of gas that contains the additive (X1) and for a full tank of gas that does not contain the additive (X2). The sample mean difference D-Bar equals 2.12 miles (in favor of the additive) and the estimated standard error equals 1.50 miles. Test the Null Hypothesis with t, using the .05 Level of significance and construct a 95 percent confidence interval (whether you reject OR retain the Null Hypothesis)Data was collected to explain an employee’s annual income raise (expressed in $’s) based on the employee’s rating (on a scale of 1-20) *COMPLETE THE TABLE BELOW*
- Show supporting work for each section identify the claim & state H0 & Ha fill in blanks with symbols identified & greater or less than signs the claim is blank hypothesis identify critical value(s) and rejection region find the standardized test statistic t= Decide whether to reject or fail to reject the null hypothesis interpret theUSING QUOTIENT RULE DIFFRENTIATE 2x-1 X+1 By a e functionnumerical analysis question/Create the exponential approximation curve in the form in the picture according to the points given below using the least squares method (use 4 decimal places after the comma).