the time needed for passengers to board the twisting thunder roller coaster is skewed right with a mean of…

the time needed for passengers to board the twisting thunder roller coaster is skewed right with a mean of 49 seconds and a standard deviation of 7.1 seconds. the time to board the spiral wonder roller coaster is skewed left with a mean of 44.8 seconds and a standard deviation of 3.7 seconds. what is the probability in a random sample of 32 times loading twisting thunder and 36 times loading spiral wonder that the mean time for twisting thunder is less than that of spiral wonder?\n0.0042\n0.0013\n0.8584\n0.9189

the time needed for passengers to board the twisting thunder roller coaster is skewed right with a mean of 49 seconds and a standard deviation of 7.1 seconds. the time to board the spiral wonder roller coaster is skewed left with a mean of 44.8 seconds and a standard deviation of 3.7 seconds. what is the probability in a random sample of 32 times loading twisting thunder and 36 times loading spiral wonder that the mean time for twisting thunder is less than that of spiral wonder?\n0.0042\n0.0013\n0.8584\n0.9189

Answer

Explanation:

Step1: Define variables

Let $\bar{X}_1$ be the sample - mean time for Twisting Thunder and $\bar{X}_2$ be the sample - mean time for Spiral Wonder. We know that $\mu_1 = 49$, $\sigma_1 = 7.1$, $n_1 = 32$, $\mu_2 = 44.8$, $\sigma_2 = 3.7$, $n_2 = 36$. The mean of the sampling distribution of $\bar{X}_1-\bar{X}_2$ is $\mu=\mu_1 - \mu_2=49 - 44.8 = 4.2$. The standard deviation of the sampling distribution of $\bar{X}_1-\bar{X}_2$ is $\sigma=\sqrt{\frac{\sigma_1^{2}}{n_1}+\frac{\sigma_2^{2}}{n_2}}=\sqrt{\frac{7.1^{2}}{32}+\frac{3.7^{2}}{36}}$. First, calculate $\frac{7.1^{2}}{32}+\frac{3.7^{2}}{36}$: $\frac{7.1^{2}}{32}=\frac{50.41}{32}\approx1.5753$ $\frac{3.7^{2}}{36}=\frac{13.69}{36}\approx0.3803$ $\frac{7.1^{2}}{32}+\frac{3.7^{2}}{36}\approx1.5753 + 0.3803=1.9556$ $\sigma=\sqrt{1.9556}\approx1.4$

Step2: Standardize the value

We want to find $P(\bar{X}_1<\bar{X}_2)$, which is equivalent to $P(\bar{X}_1 - \bar{X}_2<0)$. Let $Z=\frac{(\bar{X}_1 - \bar{X}_2)-\mu}{\sigma}$. Substituting the values, we get $Z=\frac{0 - 4.2}{1.4}=- 3$.

Step3: Find the probability

We know that $P(Z < - 3)$ can be found using the standard - normal distribution table. From the standard - normal table, $P(Z < - 3)=0.0013$.

Answer:

0.0013