Question

In: Statistics and Probability

In order to conduct a hypothesis test for the population mean, a random sample of 24...

In order to conduct a hypothesis test for the population mean, a random sample of 24 observations is drawn from a normally distributed population. The resulting mean and the standard deviation are calculated as 6.3 and 2.5, respectively. Use Table 2. Use the critical value approach to conduct the following tests at α = 0.05. H0: μ ≤ 5.1 against HA: μ > 5.1 a-1. Calculate the value of the test statistic. (Round your answer to 2 decimal places.) Test statistic a-2. Calculate the critical value. (Round your answer to 3 decimal places.) Critical value a-3. What is the conclusion? Do not reject H0 since the value of the test statistic is less than the critical value. Reject H0 since the value of the test statistic is greater than the critical value. Do not reject H0 since the value of the test statistic is greater than the critical value. Reject H0 since the value of the test statistic is smaller than the critical value. H0: μ = 5.1 against HA: μ ≠ 5.1 b-1. Calculate the value of the test statistic. (Round your answer to 2 decimal places.) Test statistic b-2. Calculate the critical value(s). (Round your answers to 3 decimal places.) Critical value(s) ± b-3. What is the conclusion? Do not reject H0 since the value of the test statistic is smaller than the critical value. Reject H0 since the value of the test statistic is greater than the critical value. Reject H0 since the value of the test statistic is smaller than the critical value. Do not reject H0 since the value of the test statistic is greater than the critical value.

Solutions

Expert Solution

Answer (5- A)

it is given that sample mean

sample size n =24

population mean

we want to test for the right tailed hypothesis {given in the alternate hypothesis}

test statistics

(a-1)

(a-2) degree of freedom = n- 1 = 24-1 = 23

using excel function T.INV.RT(alpha, df)

setting alpha = 0.05 and df = 23

= T.INV.RT(alpha, df)

= T.INV.RT(0.05,23)

= 1.714

(a-3) Since t statistics is greater than 1.714(t critical value), we can reject the null hypothesis and can conclude that the mean is greater than 5.1

Correct option is Reject H0 since the value of the test statistic is greater than the critical value

Answer 5-B

it is given that sample mean

sample size n =24

population mean

we want to test for the two tailed hypothesis {given in the alternate hypothesis}

test statistics

(a-1)

(a-2) degree of freedom = n- 1 = 24-1 = 23

using excel function T.INV.2T(alpha, df)

setting alpha = 0.05 and df = 23

= T.INV.RT(alpha, df)

= T.INV.RT(0.05,23)

= 2.069

(a-3) Since t statistics is greater than 2.069(t critical value), we can reject the null hypothesis and can conclude that the mean is not equal to 5.1

Correct option is Reject H0 since the value of the test statistic is greater than the critical value


Related Solutions

In order to conduct a hypothesis test for the population mean, a random sample of 24...
In order to conduct a hypothesis test for the population mean, a random sample of 24 observations is drawn from a normally distributed population. The resulting sample mean and sample standard deviation are calculated as 13.9 and 1.6, respectively. (You may find it useful to reference the appropriate table: z table or t table). H0: μ ≤ 13.0 against HA: μ > 13.0 a-1. Calculate the value of the test statistic. (Round all intermediate calculations to at least 4 decimal...
In order to conduct a hypothesis test for the population mean, a random sample of 24...
In order to conduct a hypothesis test for the population mean, a random sample of 24 observations is drawn from a normally distributed population. The resulting sample mean and sample standard deviation are calculated as 13.9 and 1.6, respectively. (You may find it useful to reference the appropriate table: z table or t table). H0: μ ≤ 13.0 against HA: μ > 13.0 a-1. Calculate the value of the test statistic. (Round all intermediate calculations to at least 4 decimal...
In order to conduct a hypothesis test for the population mean, a random sample of 12...
In order to conduct a hypothesis test for the population mean, a random sample of 12 observations is drawn from a normally distributed population. The resulting sample mean and sample standard deviation are calculated as 16.6 and 2.2, respectively. H0: μ ≤ 14.9 against HA: μ > 14.9 a-1. Calculate the value of the test statistic. (Round all intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) a-2. Find the p-value. 0.05  p-value < 0.10...
In order to conduct a hypothesis test for the population mean, a random sample of 9...
In order to conduct a hypothesis test for the population mean, a random sample of 9 observations is drawn from a normally distributed population. The resulting sample mean and sample standard deviation are calculated as 14.0 and 1.4, respectively. (You may find it useful to reference the appropriate table: z table or t table). H0: μ ≤ 13.3 against HA: μ > 13.3 a-1. Calculate the value of the test statistic. (Round all intermediate calculations to at least 4 decimal...
In order to conduct a hypothesis test for the population mean, a random sample of 20...
In order to conduct a hypothesis test for the population mean, a random sample of 20 observations is drawn from a normally distributed population. The resulting mean and the standard deviation are calculated as 12.9 and 2.4, respectively. Use the critical value approach to conduct the following tests at α = 0.05. H0: μ ≤ 12.1 against HA: μ > 12.1 a-1. Calculate the value of the test statistic. (Round your answer to 2 decimal places.)   Test statistic    a-2....
In order to conduct a hypothesis test for the population proportion, you sample 480 observations that...
In order to conduct a hypothesis test for the population proportion, you sample 480 observations that result in 264 successes. H0: p = 0.60; HA: p ≠ 0.60. b-1. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) b-2. Find the p-value. p-value 0.10 p-value < 0.01 0.01 p-value < 0.025 0.025 p-value < 0.05 0.05 p-value...
In order to conduct a hypothesis test for the population proportion, you sample 485 observations that...
In order to conduct a hypothesis test for the population proportion, you sample 485 observations that result in 262 successes. (You may find it useful to reference the appropriate table: z table or t table) H0: p ≥ 0.57; HA: p < 0.57. a-1. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) a-2. Find the p-value....
In order to conduct a hypothesis test for the population proportion, you sample 460 observations that...
In order to conduct a hypothesis test for the population proportion, you sample 460 observations that result in 161 successes. (You may find it useful to reference the appropriate table: z table or t table) H0: p ≥ 0.40; HA: p < 0.40 . a-1. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) a-2. Find the...
n order to conduct a hypothesis test for the population proportion, you sample 450 observations that...
n order to conduct a hypothesis test for the population proportion, you sample 450 observations that result in 207 successes. (You may find it useful to reference the appropriate table: z table or t table) H0: p ≥ 0.52; HA: p < 0.52. a-1. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) a-2. Find the p-value....
Exercise 9-59 Algo In order to conduct a hypothesis test for the population proportion, you sample...
Exercise 9-59 Algo In order to conduct a hypothesis test for the population proportion, you sample 500 observations that result in 200 successes. (You may find it useful to reference the appropriate table: z table or t table) H0: p ≥ 0.41; HA: p < 0.41. a-1. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) a-2....
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT