Since we cannot deny that the annual income average is $50,000, we have no choice but to keep it as a consideration moving forward. B. The true population proportion of customers who live in an urban area exceeds 40%. Scenario B is very similar to scenario A because we were able to indicate a weak p-value to indicate that the population proportion of urban customers could be exactly 40%. With hypothesis testing we were able to test the probability of
The p-value is 0.002 which is smaller than the significance level. Hence there are 0.002 chances that such a small value can observe when the null hypothesis is true. Since, this probability is smaller than the significance level we reject the null hypothesis at 5% level. Hence, we conclude that there is enough evidence to support the manager’s claim that the average annual income was less than $50,000. b.
The relationship between Hamstring strength index 60 degree/s and the Shuttle run test is a negative relationship due to r moves away from zero in negative direction and r = −0.149, the strength of this negative relationships would be weak with r -0.5 r=-0.528**, is more significant since p =0.002< 0.01, where r = −0.498** is significant at p =0.004< 0.01. The smaller the p-value in a test of hypothesis the more significant the results are. 8. The researchers stated that the study showed a positive, significant correlation between Quadriceps strength indices and pre- and postoperative functional stability Considering the data presented in the Table 5, do you agree with their statement? Provide a rationale for your answer.
This equation when solved has two answers, but a negative answer will not work for the amount of time that has passed, so the positive answer is correct. When the object is 30 feet above the ground the time from launch would be .50 seconds. This equation once again will provide
The smallest relative difference that is not statistically significant is stress management at -0.63. The reason that this ratio is not statistically significant is because the value used to determine significance was lower than 0.05. The smaller t ratio has an increased p value and the odds of being able to reject the null hypothesis are diminished. This result means
As shown in the fit put charts the S&P500 and GXP returns can be proven to be positively correlated by looking at the line of best fit with the data shown. The standard error is low as well being at 2.92%. The intercept or alpha in this regression is .0001809 which is not significantly different from zero. The t value is 15.56 which is greater than the t stat for a 5% significance level and the p value is less than .0001 which is the
First responders are able to save more lives than in the past (Mitchell, 2010). There is no particular reason, but all these reasons combined clearly play a role in the overall decrease. Economically, if the United States can improve the poverty level then we truly would see a safer country with far less
This company shows that a lot of their employees are prone to have many pre-existing conditions and are high risk at different health problems, which only leads to the company having to pay more money for services that are rendered to the employee. What would be best for this company is making a customize plan that not only would benefit the employees at E-editors but also protect Castor Company with any chances of high risk
Although this policy failed, it was an attempt to settle issues by concession and compromise rather than by war. 3. A.J.P Taylor said the 1930s can be summed up in two short phrases, the two sides of life did not join up: Mass unemployment and appeasement. But at the same time, most English people were enjoying a richer life than any previously known- Longer Holidays, shorter working hours, and higher real wages. They had motor cars, cinemas, radio sets, and electrical appliances.
If this continues we will have a new generation of people that don’t outlive their parents. Reuters.com says ‘’at this rate the projected percent of American adults who are obese will be 50% in the year 2030.’’ These numbers are soaring out of control we need to take action now if we want our children to live long healthy