Psy/315 Chapter 4

The data collected was placed into the following table which was used to plot the graph below it.

I think the spiritual care that was provided to this patient was amazing. Being place in this counselor shoes, I would have don’t the same thing. The client had a great life, until the doctor diagnosed him with terminal lung cancer, and the client was feeling very depressed and distraught about the situation until the client met the counselor. At first the counselor did not want to help the client, and stated that he had his own personal beliefs, and don’t want to compare the religion beliefs with the client. When counseling someone, it is very rare to discuss the personal beliefs with the clients. In this case, the counselor help the client find his own religious beliefs and help him find eternity. The client was amazed as of how the counselor helped him find beyond life, death, and after death. The client asked for forgiveness and grace and felt more comfortable of dying.

Get the critical value for df = N-1 = 16, one tail, alpha is 0.05:

8. Review the following frequency distribution. Create a histogram either by hand or by using some other

Explain why we need to use the t distribution. What assumption do you need to make?

8. Assuming that the distribution is a normal curve, 95% of men were between what ages? Round your answer to two decimal places.

[MEAN] 45 + 45 + 64 + 50 + 58 + 49 + 47 + 55 + 50 + 52 = 515/10 = 51.5

The first point of sampling was 5 meters from the trail, the second point of sampling was 30 meters from the trail, and the last point of sampling was 50 meters from the trail. At the first point of sampling

Second step was to determine each phase if it is normal or log-normal to find the mean and stdev.

Midland is a near ideal candidate for personal wind generation. The City of Midland has flat terrain that does not interfere with wind patterns and has consistent wind speeds that are greater than the suggested wind speeds for small turbines. Please keep in mind, that the higher the turbine is from the ground, the more potential generation is available.

According to CanWea(Canadian Wind Energy Association), Across Canada, electricity generated from wind is already powering over 1.5 million homes and businesses in a clean,reliable and efficient manner. With Canada’s unparalleled wind resource, there are still opportunities to do more to maximize the economic, industrial development, and environmental benefits associated with wind energy.Worldwide many wind energy markets are moving towards wind turbines as source of energy.But because of intermittent nature of wind power and to make the efficient use of transmission line capacity , it is essential to predict wind power production very accurately. In following sections i have discussed few techniques to build a prediction model for wind power forecasting.

Chapter 13: Chi-Square Applications SHORT ANSWER 1. When samples of size n are drawn from a normal population, the chi-square distribution is the sampling distribution of = ____________________, where s2 and are the sample and population variances, respectively. ANS: PTS: 1 OBJ: Section 13.2 2. Find the chi-square value for each of the right-tail areas below, given that the degrees of freedom are 7: A) 0.95 ____________________ B) 0.01 ____________________ C) 0.025 ____________________ D) 0.05 ____________________ ANS: 2.167; 18.475; 16.013; 14.067 PTS: 1 OBJ: Section 13.2 3.

Figure 6: Plots of sample standard deviation of numerical solution at T = 0.02: sequential sampling (left), full sampling (right).

values under the curve lie within one standard deviation of the mean and 95% lie within two standard deviations3. This is good for intervallic continuous variables.

Figure 6: Plots of sample standard deviation of numerical solution at T = 0.02: sequential sampling (left), full sampling (right).