Question

In: Statistics and Probability

Suppose there is a random sample of 1,083 observations, divided into four groups. The table below...

Suppose there is a random sample of 1,083 observations, divided into four groups. The table below summarizes the observations that were seen in each group. Group 1 Group 2 Group 3 Group 4 531 184 101 267 We are interested in testing the Null hypothesis Observed=Expected, under the assumption that the expected proportions are .50, .20, .10, and .20 for the 4 groups, respectively. What are the expected values? Group 1 Group 2 Group 3 Group 4 Number Number Number Number What is the value of the test statistic? Round your response to at least 3 decimal places. Number What is the P-value for the test? Round your response to at least 4 decimal places. Number

Solutions

Expert Solution

Solution:

Here, we have to use chi square test for goodness of fit.

Null hypothesis: H0: Given observations of the data follows the expected proportions.

Alternative hypothesis: Ha: Given observations of the data do not follow the expected proportions.

We assume level of significance = α = 0.05

What are the expected values?

Expected values are given as below:

Group

Observed

Prop.

Expected

1

531

0.5

1083*0.5 = 541.5

2

184

0.2

1083*0.2 = 216.6

3

101

0.1

1083*0.1 = 108.3

4

267

0.2

1083*0.2 = 216.6

Total

1083

1

1083

What is the value of the test statistic?

Test statistic formula is given as below:

Chi square = ∑[(O – E)^2/E]

Where, O is observed frequencies and E is expected frequencies.

We are given

N = 4

Degrees of freedom = df = N – 1 = 4 – 1 = 3

α = 0.05

Critical value = 7.814727764

(by using Chi square table or excel)

Calculation tables for test statistic are given as below:

Group

O

Prop.

E

(O - E)^2/E

1

531

0.5

541.5

0.203601108

2

184

0.2

216.6

4.906555863

3

101

0.1

108.3

0.492059095

4

267

0.2

216.6

11.72742382

Total

1083

1

1083

17.32963989

Chi square = ∑[(O – E)^2/E] = 17.32963989

Test statistic = 17.330

What is the P-value for the test?

P-value = 0.0006

(By using Chi square table or excel)

P-value < α = 0.05

So, we reject the null hypothesis

There is insufficient evidence to conclude that given observations of the data follows the expected proportions.


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