Using this data of hours worked per day by employees;
2 Hours 11 Days,, 3 hours 9 days, 4 hours 17 days, 5 hours 7 days, 6 hours 6 days
Construct a probability distribution
Include. A the definition of the random variable
B. All Possible outcomes
Probability for each value of the random variable
Verify it is a legitimate probability distribution.
Calculate the mean of the probability distribution (show steps)
Calculate the standard deviation of the probability distribution(show steps)
Using this data of hours worked per day by employees; 2 Hours 11 Days,, 3 hours 9 days, 4 hours 17 days, 5 hours 7 days, 6 hours 6 days Construct a probability distribution Include. A the definition o...
Q 3 Are employees who work more hours per week less satisfied with their job? Data was collected from a random sample of 22 employees at a company on the following variables: Job satisfaction (measures 0 to 100) Total hours worked per week Coefficients Standard Error intercept 120.7223 16.8721 X variable 1 -1.2033 0.3188 (a)Construct a 95% confidence interval estimate of the population mean job satisfaction for employees who works 55 hours per week. The sample mean total hours worked...
The probability density function for a random variable X with a discrete uniform distribution over the integers 1, 2, 3, 4, 5, and 6 is f(x) = 1/6 for x = 1, 2, 3, 4, 5, 6. What is the mean of the distribution of X? The probability density function for a random variable X with a discrete uniform distribution over the integers 1, 2, 3, 4, 5, and 6 is f(x) = 1/6 for x = 1, 2, 3, 4, 5,...
7. Using the following, construct a complete frequency distribution include the mean, Variance, Standard Deviation. Also graph the Frequency Histogram, Polygon and Ogive. Indicate Modal Class, Median Class and describe the distribution (25 points) Frequency Class Limits 28 - 34 35 - 41 42 - 48 49 - 55 56 - 62 9. Find the weighted mean for three exams if the first one was worth 25% and the student received a 92, the second was worth 40% and the...
2. For the following data: 1 2 3 4 5 5 6 16 20 18 17 18 21 1. Calculate the sample mean and sample variance b. Calculate the probability that the population mean is between 9 and 10 if the population standard deviation is known to be 2.3. c. What is the 95% confidence interval for the population mean if the population standard deviation is known to be 2.32 d. Calculate the 95% confidence interval using the sample standard...
2. For the following data: 1 2 3 4 5 6 16 20 18 17 18 21 a. Calculate the sample mean and sample variance b. Calculate the probability that the population mean is between 9 and 10 if the population standard deviation is known to be 2.3. What is the 95% confidence interval for the population mean if the population standard deviation is known to be 2.3? d. Calculate the 95% confidence interval using the sample standard deviation. c.
For the following data: 1 2 3 4 5 6 16 20 18 17 18 21 a. Calculate the sample mean and sample variance b. Calculate the probability that the population mean is between 9 and 10 if the population standard deviation is known to be 2.3. What is the 95% confidence interval for the population mean if the population standard deviation is known to be 2.3? d. Calculate the 95% confidence interval using the sample standard deviation. c.
2 The data given below show the number of overtime hours worked in one week per employee. Use the data to complete parts (a) and (b) Overtime hours 1 3 4 5 6 Employees 8 13 29 57 43 28 18 (6) Construct a probability distribution b) Graph the probability distribution using a histogram and describe its shape (a) Construct the probability distribution by completing the table below. 1 2 3 4 5 0 PE (Round to three decimal places...
Number in Family 4 4 5 2 8 3 4 6 1 3 7 4 4 3 5 2 4 5 4 3 3 3 6 6 2 6 7 3 2 3 8 5 5 4 3 4 5 4 5 4 8 5 4 4 6 5 6 4 5 2 3 3 6 5 7 3 7 4 2 4 7 8 4 6 4 2 6 3 2 7 4 6 5 4 4 4 3...
8 Q099 Approximating a Binomial Distribution die 2 OOOO00 Probability Experiment: 2 die There are are 36 possible outcomes. Let X be a random variable. X = sum of the outcomes of the 2 die 0000 we roll the outcome times. You die 1 2 3 4 5 6 7 3 4 5 6 7 8 4 5 6 7 8 9 5 6 7 6 7 8 7 8 9 8 9 10) 9,10,11 10 11 12 probability The...
2. Machine components are manufactured in a factory at a rate of about 80 per day. The actual daily production is described by the following probability distribution: Production per Probability 0.03 0.07 0.14 0.17 0.14 0.12 0.10 0.08 0.07 0.05 0.03 75 76 78 79 80 81 82 83 84 85 At the end of each day's production, components are placed on a lorry and delivered overnight to customers. The lorry can take a maximum of 80 components, and will...