Let be a geomerric random variable with prf y=1,2,3... where 9 Find. estimator using matimum likelihood Estimator methed
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find estimator using maximum likelihood method
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- In linear regression, when are we likely use the prediction interval and confidence interval? Mention some scenarios that we might need it.The dependent is variance inflation factor, make a decision whether it need to drop any variables.A score from a usability test could be considered an outlier if it is more than 2 standard deviations away from the mean true or false?
- Mention two real life applications for the distribution.The average lifespan of a battery is 54 months, with a SD of 6 months. What is the probability that a random sample will live for 52 months or many more? Also write its the standard curve.Last dog Based on the regression output seen in Exer-cise 17, create a 95% confidence interval for the slope of the regression line and interpret your interval in context.
- If the variance of a national accounting examination is 900, how large a sample is needed to estimate the true mean score within 5 points with 99% confidence? Z score is Use an Excel Function to calculate Z sample size is Show the Formula that you use to calculate it.One sample of n = 4 scores has a mean of M = 10, and a second sample of n = 4 scores has a mean of M = 20. If the two samples are combined then what value will be obtained for the mean of the combined sample? %3DA brisk walk at 4 miles per hour burns an average of 300 calories per hour. If the standard deviation of the distribution is 8 calories, find the probability that a person who walks one hour at the rate of 4 miles per hour will burn the following calories. Assume the variable to be normally distributed. more than 280 calories less than 294 calories between 278 and 318 calories
- A professor was interested in how the amount of sleep may impact a student’s performance in her course. She asked students to record the number of hours they sleep on a typical weeknight. The data can be found in the file hours_sleep.xlsx. You will need to use this information to respond to the questions below. Based on information provided in the description use jamovi to compute appropriate descriptive statistics for the main variable of interest and provide a copy of the output from jamovi. Use the information you generated in jamovi to complete the following. Describe the symmetry of this distribution (please be sure to include the appropriate statistics to support your description).In the above regression, the variable income is per capita income measured in dollars (mean=$56,806), UR_Rate is the unemployment rate (mean=0.046), Minimum_wage is the state minimum wage (mean=$8.04), Democrat_Gov is an indicator for a state having a Democratic governor (mean3D0.56), Welfare_Gen is a measure of the generosity of a state's welfare benefits (mean-$888), emp is the number of people employed in the state (mean=3,000,689), and UR*Minwage is the unemployment rate multiplied by the state minimum wage (mean=D0.431). Answer the following questions. If necessary, evaluate the marginal effect at the mean. 1. What is the marginal effect of a one percent increase in employment on per capita income? percent 2. What is the marginal effect of a one dollar increase in the state minimum wage on per capita income? percent 3. What is the marginal effect of a one dollar increase in welfare generosity on per capita income? percent 4. What is the intercept for a state with a democratic…Solve for ANOVA and f-value