a. t test for population mean or z test for population proportion b. μ or p H0:=, <, >, or ≠H1: =, <, >, or ≠c. z or t Nationally, patients who go to the emergency room wait an average of 5 hours to be admitted into thehospital. Do patients at rural hospitals have a different waiting time? The 12 randomly selected patientswho went to the emergency room at rural hospitals waited an average of 3.3 hours to be admitted into thehospital. The standard deviation for these 12 patients was 1.8 hours. What can be concluded at the the a =0.01 level of significance level of significance?a. For this study, we should use Select an answerb. The null and alternative hypotheses would be:Ho: [? ♥][ Select an answerH1: ?Select an answerc. The test statistic ?v(please show your answer to 3 decimal places.)

One sample t-test: One sample t-test is used to test the significance difference between population…

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Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

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a. t test for population mean or z test for population proportion

b. μ or p

H_0:

_{=, <, >, or ≠}

H₁:

_{=, <, >, or ≠}

_{c. z or t}

Nationally, patients who go to the emergency room wait an average of 5 hours to be admitted into the
hospital. Do patients at rural hospitals have a different waiting time? The 12 randomly selected patients
who went to the emergency room at rural hospitals waited an average of 3.3 hours to be admitted into the
hospital. The standard deviation for these 12 patients was 1.8 hours. What can be concluded at the the a =
0.01 level of significance level of significance?
a. For this study, we should use Select an answer
b. The null and alternative hypotheses would be:
Ho: [? ♥][ Select an answer
H1: ?
Select an answer
c. The test statistic ?v
(please show your answer to 3 decimal places.)

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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