The XYZ Corporation is interested in possible differences in days worked by salaried employees in three departments in the financial area. A survey of 23 randomly chosen employees reveals the data shown below. Because of the casual sampling methodology in this survey, the sample sizes are unequal. Research question: Are the mean annual attendance rates the same for employees in these three departments? Days Worked Last Year by 23 Employees Department Days Worked Budgets (5 workers) 275 261 264 247 257 Payables (10 workers) 201 272 218 237 256 218 264 240 240 229 Pricing (8 workers) 237 255 231 257 233 244 245 249 Click here for the Excel Data File Fill in the missing data. (Round your p-value to 4 decimal places, mean values to 1 decimal place, and other answers to 4 decimal places.) Group Mean n Std. Dev Variances Budgets Payables Pricing Total One-Factor ANOVA Source SS df MS F p-value Treatment Error Total Based on the given hypotheses, choose the correct option H<0: μ1 = μ 2 = μ3 H1: Not all the means are equal α = .05 Reject the null hypothesis if p-value > 0.05 Reject the null hypothesis if p-value < 0.05 On the basis of the above findings, we cannot reject the null hypothesis. False True
The XYZ Corporation is interested in possible differences in days worked by salaried employees in three departments in the financial area. A survey of 23 randomly chosen employees reveals the data shown below. Because of the casual sampling methodology in this survey, the sample sizes are unequal. Research question: Are the mean annual attendance rates the same for employees in these three departments? Days Worked Last Year by 23 Employees Department Days Worked Budgets (5 workers) 275 261 264 247 257 Payables (10 workers) 201 272 218 237 256 218 264 240 240 229 Pricing (8 workers) 237 255 231 257 233 244 245 249 Click here for the Excel Data File Fill in the missing data. (Round your p-value to 4 decimal places, mean values to 1 decimal place, and other answers to 4 decimal places.) Group Mean n Std. Dev Variances Budgets Payables Pricing Total One-Factor ANOVA Source SS df MS F p-value Treatment Error Total Based on the given hypotheses, choose the correct option H<0: μ1 = μ 2 = μ3 H1: Not all the means are equal α = .05 Reject the null hypothesis if p-value > 0.05 Reject the null hypothesis if p-value < 0.05 On the basis of the above findings, we cannot reject the null hypothesis. False True
The XYZ Corporation is interested in possible differences in days worked by salaried employees in three departments in the financial area. A survey of 23 randomly chosen employees reveals the data shown below. Because of the casual sampling methodology in this survey, the sample sizes are unequal. Research question: Are the mean annual attendance rates the same for employees in these three departments? Days Worked Last Year by 23 Employees Department Days Worked Budgets (5 workers) 275 261 264 247 257 Payables (10 workers) 201 272 218 237 256 218 264 240 240 229 Pricing (8 workers) 237 255 231 257 233 244 245 249 Click here for the Excel Data File Fill in the missing data. (Round your p-value to 4 decimal places, mean values to 1 decimal place, and other answers to 4 decimal places.) Group Mean n Std. Dev Variances Budgets Payables Pricing Total One-Factor ANOVA Source SS df MS F p-value Treatment Error Total Based on the given hypotheses, choose the correct option H<0: μ1 = μ 2 = μ3 H1: Not all the means are equal α = .05 Reject the null hypothesis if p-value > 0.05 Reject the null hypothesis if p-value < 0.05 On the basis of the above findings, we cannot reject the null hypothesis. False True
The XYZ Corporation is interested in possible differences in days worked by salaried employees in three departments in the financial area. A survey of 23 randomly chosen employees reveals the data shown below. Because of the casual sampling methodology in this survey, the sample sizes are unequal. Research question: Are the mean annual attendance rates the same for employees in these three departments?
Days Worked Last Year by 23 Employees
Department
Days Worked
Budgets (5 workers)
275
261
264
247
257
Payables (10 workers)
201
272
218
237
256
218
264
240
240
229
Pricing (8 workers)
237
255
231
257
233
244
245
249
Click here for the Excel Data File
Fill in the missing data. (Round your p-value to 4 decimal places, mean values to 1 decimal place, and other answers to 4 decimal places.)
Group
Mean
n
Std. Dev
Variances
Budgets
Payables
Pricing
Total
One-Factor ANOVA
Source
SS
df
MS
F
p-value
Treatment
Error
Total
Based on the given hypotheses, choose the correct option H<0: μ1 = μ2 = μ3 H1: Not all the means are equal α = .05
Reject the null hypothesis if p-value > 0.05
Reject the null hypothesis if p-value < 0.05
On the basis of the above findings, we cannot reject the null hypothesis.
False
True
Based on the given hypotheses, choose the correct option. H0: σ21 = σ22 = σ23 H1: Not all the variances are equal α = .05
Reject the null hypothesis if H < 8.38
Reject the null hypothesis if H > 8.38
Calculate the value of Hcalc. (Round your answer to 2 decimal places.) Hcalc
On the basis of the above-determined Hcalc, we fail to reject the null hypotheses.
TRUE
FALSE
The XYZ Corporation is interested in possible differences in days worked by salaried employees in three departments in the financial area. A survey of 23 randomly chosen employees reveals the data shown below. Because of the casual sampling methodology in this survey, the sample sizes are unequal. Research question: Are the mean annual attendance rates the same for employees in these three departments?
Days Worked Last Year by 23 Employees
Department
Days Worked
Budgets (5 workers)
275
261
264
247
257
Payables (10 workers)
201
272
218
237
256
218
264
240
240
229
Pricing (8 workers)
237
255
231
257
233
244
245
249
Click here for the Excel Data File
Fill in the missing data. (Round your p-value to 4 decimal places, mean values to 1 decimal place, and other answers to 4 decimal places.)
Group
Mean
n
Std. Dev
Variances
Budgets
Payables
Pricing
Total
One-Factor ANOVA
Source
SS
df
MS
F
p-value
Treatment
Error
Total
Based on the given hypotheses, choose the correct option H<0: μ1 = μ2 = μ3 H1: Not all the means are equal α = .05
Reject the null hypothesis if p-value > 0.05
Reject the null hypothesis if p-value < 0.05
On the basis of the above findings, we cannot reject the null hypothesis.
False
True
Based on the given hypotheses, choose the correct option. H0: σ21 = σ22 = σ23 H1: Not all the variances are equal α = .05
Reject the null hypothesis if H < 8.38
Reject the null hypothesis if H > 8.38
Calculate the value of Hcalc. (Round your answer to 2 decimal places.) Hcalc
On the basis of the above-determined Hcalc, we fail to reject the null hypotheses.
TRUE
FALSE
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.