Question

In: Statistics and Probability

The null and alternative hypotheses are: H0:μd≤0H0:μd≤0 H1:μd>0H1:μd>0 The following sample information shows the number of...

The null and alternative hypotheses are:

H0:μd≤0H0:μd≤0

H1:μd>0H1:μd>0

The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month.

Day
1 2 3 4
  Day shift 10 12 15 18
  Afternoon shift 8 9 13 16

At the 0.01 significance level, can we conclude there are more defects produced on the Afternoon shift?

a. State the decision rule. (Round the final answer to 3 decimal places.)

H0 is  (Click to select)  rejected  not rejected  if t >  .

b. Compute the value of the test statistic. (Round the final answer to 3 decimal places.)

Test statistic

c. What is your decision regarding the null hypothesis?

H0 should  (Click to select)  not be rejected  be rejected  .

d. Determine the p-value. (Round the final answer to 4 decimal places.)

The p-value is  .

Solutions

Expert Solution

H0:μd≤0

H1:μd>0

a)

H0 is    rejected if t > 4.541

b)

TS = 9

c)

Null hypothesis is rejected

d)

p-value = 0.0014


Related Solutions

The null and alternative hypotheses are: H0:μd≤0H0:μd≤0 H1:μd>0H1:μd>0 The following sample information shows the number of...
The null and alternative hypotheses are: H0:μd≤0H0:μd≤0 H1:μd>0H1:μd>0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4   Day shift 13 12 13 17   Afternoon shift 11 9 12 15 At the 0.10 significance level, can we conclude there are more defects produced on the Afternoon shift? a. State the decision rule. (Round the final answer to 3...
The null and alternative hypotheses are: H0:μd≤0H0:μd≤0 H1:μd>0H1:μd>0 The following sample information shows the number of...
The null and alternative hypotheses are: H0:μd≤0H0:μd≤0 H1:μd>0H1:μd>0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4   Day shift 10 12 13 18   Afternoon shift 8 9 12 16 At the 0.10 significance level, can we conclude there are more defects produced on the Afternoon shift? a. State the decision rule. (Round the final answer to 3...
The null and alternative hypotheses are: H0:μd≤0 H1:μd>0 The following sample information shows the number of...
The null and alternative hypotheses are: H0:μd≤0 H1:μd>0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4   Day shift 11 11 16 19   Afternoon shift 9 9 13 15 At the 0.01 significance level, can we conclude there are more defects produced on the Afternoon shift? a. State the decision rule. (Round the final answer to 3...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4 Day shift 10 12 13 18 Afternoon shift 9 10 14 15 At the 0.050 significance level, can we conclude there are more defects produced on the day shift? Hint: For the...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4 Day shift 12 12 16 19 Afternoon shift 10 10 12 15 At the 0.010 significance level, can we conclude there are more defects produced on the day shift? Hint: For the...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4 Day shift 10 11 14 18 Afternoon shift 8 11 12 15 At the 0.100 significance level, can we conclude there are more defects produced on the day shift? Hint: For the...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4 Day shift 11 12 13 19 Afternoon shift 9 10 14 15 At the 0.025 significance level, can we conclude there are more defects produced on the day shift? Hint: For the...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4 Day shift 11 10 14 17 Afternoon shift 8 11 12 15 At the 0.010 significance level, can we conclude there are more defects produced on the day shift? Hint: For the...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4 Day shift 11 11 16 19 Afternoon shift 10 9 14 16 At the 0.010 significance level, can we conclude there are more defects produced on the day shift? Hint: For the...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0...
The null and alternate hypotheses are: H0 : μd ≤ 0 H1 : μd > 0 The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month. Day 1 2 3 4 Day shift 12 12 16 19 Afternoon shift 12 10 16 18 At the 0.100 significance level, can we conclude there are more defects produced on the day shift? Hint: For the...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT