What is the null and alternate hypotheses  Which of the following assumptions need to be satisfied for this test? Observations are independent The standard deviations of both populations are normally distributed The distributions of both populations are normal The distribution of the population of differences is normal The distribution of the population

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The following questions refer to the output below the following R command.

t.test(group1, mu = 30)

data:  group1
t = -3.2893, df = 39, p-value = 0.002135

alternative hypothesis: true mean is not equal to 30
95 percent confidence interval:
24.03212 28.57704
sample estimates:
mean of x
26.30458

 

  1. What is the null and alternate hypotheses 
  2. Which of the following assumptions need to be satisfied for this test?
    1. Observations are independent
    2. The standard deviations of both populations are normally distributed
    3. The distributions of both populations are normal
    4. The distribution of the population of differences is normal
    5. The distribution of the population of measurements is normal

       
  3. What is the value of the test statistic  (4dp) 

  4. What is the p-value (4dp)
    Based on this evidence, what is the conclusion 
Expert Solution
Step 1

The t test is one of many tests used for the purpose of hypothesis testing in statistics.

1. Null and Alternative hypothesis are-

H0:μ=30H1:μ30

2. The following assumptions need to be satisfied for this test-

Observations are independent The distribution of the population of measurements is normal.Hence option (1) and (5) are correct.

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