29 Community psychology came of age in the its aim was to minimize psychological disorders.
Multiple Choice 1980s
1960
1970s
1990s​

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Answer 1

Every organization do have aim they want to achieve. Community Psychology came of age in the its aim was to minimize psychological disorders. in the 1960s.

The aim of Community psychology was to make new methods to help people within their communities, boast social change and diversity, boast individual and community well-being, and prevent disorder.

Community psychology in the U.S. started in the 1960s because of the setbacks of psychology in solving social problems.

The meeting in 1965 of psychologists in the Swampscott Conference birth the official beginning of contemporary community psychology.

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The straight line is fitted to the time series when the movements in the time series are

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First the time series figures are plotted on a graph. The points are joined by straight lines. We get fluctuating straight lines, through which an average straight line is drawn. This method is however, inaccurate, since different persons may fit different trend lines for the same set of data.24-Mar-2019

First the time series figures are plotted on a graph. The points are joined by straight lines. We get fluctuating straight lines, through which an average straight line is drawn. This method is however, inaccurate, since different persons may fit different trend lines for the same set of data

The t statistic for a test of

H0:μ=20

HA:μ<20
based on n = 10 observations has the value t = -1.32.

(a) What are the degrees of freedom for this statistic?
(b) Using the appropriate table in your formula packet, bound the p-value as closely as possible:

Answers

Answer: the answer is b Using the appropriate table in your formula packet, bound the p-value as closely as possible

Explanation:

hope this helps :)

The degrees of freedom for this statistic are 9 and by using he appropriate table in your formula packet, bound the p-value as closely as possible is 0.025 < p-value < 0.05.

What is degree of freedom?

Degree of freedom is defined as an essential component of statistical calculations that estimate or draw conclusions about population parameters from sample data. The number of independent data points used to calculate an estimate is referred to as the degree of freedom of the estimate. It's not exactly the same as the sample's sample size. The number of independent values that can change in an analysis without violating any constraints is indicated by the degrees of freedom (DF) in statistics.

The left tailed test is used here.

Degrees of freedom

(a) equal 10 - 1 = 9

(b) P-value = P(t 9 - 2.15),

Which equals 0.03 0.025 and a p-value of 0.05.

Thus, the degrees of freedom for this statistic are 9 and by using he appropriate table in your formula packet, bound the p-value as closely as possible is 0.025 < p-value < 0.05.

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