Questions: Researchers conducted trials to investigate the effects of color on creativity. Subjects with a red background were asked to think of creative uses for a brick; other subjects with a blue background were given the same task. Responses were scored by a panel of judges and results from scores of creativity are given in the accompanying table. Higher scores correspond to more creativity. The researchers make the claim that "blue enhances performance on a creative task." Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) Response Summary Statistics Background μ n x̄ s Blue μ1 47 3.53 0.55 Red μ2 41 2.71 0.96 b. Construct the confidence interval suitable for testing the claim in part (a). What is it about the confidence interval that results in the same conclusion from part (a)? <μ1-μ2< (Round to two decimal places as needed.)

Researchers conducted trials to investigate the effects of color on creativity. Subjects with a red background were asked to think of creative uses for a brick; other subjects with a blue background were given the same task. Responses were scored by a panel of judges and results from scores of creativity are given in the accompanying table. Higher scores correspond to more creativity. The researchers make the claim that "blue enhances performance on a creative task." Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a)

Response Summary Statistics
Background  μ  n  x̄  s
Blue  μ1  47  3.53  0.55
Red  μ2  41  2.71  0.96

b. Construct the confidence interval suitable for testing the claim in part (a). What is it about the confidence interval that results in the same conclusion from part (a)?
<μ1-μ2< 
(Round to two decimal places as needed.)
Transcript text: Researchers conducted trials to investigate the effects of color on creativity. Subjects with a red background were asked to think of creative uses for a brick; other subjects with a blue background were given the same task. Responses were scored by a panel of judges and results from scores of creativity are given in the accompanying table. Higher scores correspond to more creativity. The researchers make the claim that "blue enhances performance on a creative task." Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) Response Summary Statistics \begin{tabular}{|l|c|c|c|c|} \hline Background & $\boldsymbol{\mu}$ & $\mathbf{n}$ & $\overline{\mathbf{x}}$ & $\mathbf{s}$ \\ \hline Blue & $\boldsymbol{\mu}_{1}$ & 47 & 3.53 & 0.55 \\ \hline Red & $\boldsymbol{\mu}_{2}$ & 41 & 2.71 & 0.96 \\ \hline \end{tabular} b. Construct the confidence interval suitable for testing the claim in part (a). What is it about the confidence interval that results in the same conclusion from part (a)? $<\mu_{1}-\mu_{2}<$ (Round to two decimal places as needed.)
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Solution

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Solution Steps

Step 1: Calculate the degrees of freedom

The formula for degrees of freedom when population standard deviations are not assumed to be equal is:

$df = \frac{(\frac{s_1^2}{n_1} + \frac{s_2^2}{n_2})^2}{\frac{(\frac{s_1^2}{n_1})^2}{n_1 - 1} + \frac{(\frac{s_2^2}{n_2})^2}{n_2 - 1}}$

Plugging in the values from the table:

$df = \frac{(\frac{0.55^2}{47} + \frac{0.96^2}{41})^2}{\frac{(\frac{0.55^2}{47})^2}{47 - 1} + \frac{(\frac{0.96^2}{41})^2}{41 - 1}} = \frac{(0.0064468 + 0.0225268)^2}{\frac{0.0000406}{46} + \frac{0.0005308}{40}} = \frac{0.0008362}{0.00000088 + 0.00001327} \approx \frac{0.0008362}{0.00001415} \approx 59.06 \approx 59$

Step 2: Calculate the t-score

Since we weren't given a confidence level, we'll assume a 95% confidence level. With df = 59 and α = 0.05 (two-tailed), the t-score is approximately 2.00. This value can be found using a t-table or a statistical calculator.

Step 3: Calculate the margin of error

The margin of error is calculated as:

$E = t \sqrt{\frac{s_1^2}{n_1} + \frac{s_2^2}{n_2}} = 2.00 \sqrt{\frac{0.55^2}{47} + \frac{0.96^2}{41}} = 2.00 \sqrt{0.006447 + 0.022527} \approx 2.00 \sqrt{0.028974} \approx 2.00 * 0.1702 \approx 0.340$

Step 4: Calculate the confidence interval

The confidence interval is calculated as:

$(\bar{x}_1 - \bar{x}_2) \pm E = (3.53 - 2.71) \pm 0.340 = 0.82 \pm 0.340$

So, the confidence interval is (0.48, 1.16).

Final Answer:

0.48 < μ₁ - μ₂ < 1.16

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