A psychologist is studying smokers' self-images, which she measures by the self-image (SI) score from a personality inventory. For adults in the U.S., the mean SI score from this inventory is about 150. The psychologist gathers a random sample of 16 SI scores of smokers and finds that their mean is 130 and their standard deviation is 31. Assume that the population of SI scores of smokers is normally distributed with mean μ. Based on the sample, can the psychologist conclude that μ is different from 150? Use the 0.05 level of significance.Perform a two-tailed test. Then fill in the table attached.Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. P Progr xO Stude x Week x D Feedt x O McGr xA ALEK XO Laun XC Searc xC Searc xо Оpen Xь МуQ хO Free E Xb Detai XO Find+A www-awn.aleks.com/alekscgi/x/Isl.exe/1o_u-IgNslkr7j8P3jH-IQirVmXK7o_zpyaAMkjWKJh-pmWc8lyVwdR5LM9wuDObwHbzy27qLjCN1ole6wecNjCfVPSOA3qAJtUcw-Okz.Rw.E Apps* BookmarksMY EBAYа АМAZONYAHOOMail - Savage, Tany..MEGA ESSAYSM GMAIL7 Bank of America | H...DEL ONE FCUUSAA | CHECKING...S STUDY POOLOther bookmarksKnowledge CheckQuestion 5TanyaCarry your intermediate computations to at least three decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.)pThe null hypothesis:H, :0The alternative hypothesis:H :0D=0OSOThe type of test statistic:(Choose one)O#0O

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Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter10: Sequences, Series, And Probability

Section10.7: Distinguishable Permutations And Combinations

Problem 30E

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A psychologist is studying smokers' self-images, which she measures by the self-image (SI) score from a personality inventory. For adults in the U.S., the mean SI score from this inventory is about 150. The psychologist gathers a random sample of 16 SI scores of smokers and finds that their mean is 130 and their standard deviation is 31. Assume that the population of SI scores of smokers is normally distributed with mean μ. Based on the sample, can the psychologist conclude that μ is different from 150? Use the 0.05 level of significance.

Perform a two-tailed test. Then fill in the table attached.

Carry your intermediate computations to at least three decimal places and round your answers as specified in the table.

P Progr x
O Stude x Week x D Feedt x O McGr x
A ALEK X
O Laun X
C Searc x
C Searc x
о Оpen X
ь МуQ х
O Free E X
b Detai X
O Find
+
A www-awn.aleks.com/alekscgi/x/Isl.exe/1o_u-IgNslkr7j8P3jH-IQirVmXK7o_zpyaAMkjWKJh-pmWc8lyVwdR5LM9wuDObwHbzy27qLjCN1ole6wecNjCfVPSOA3qAJtUcw-Okz.
R
w.
E Apps
* Bookmarks
MY EBAY
а АМAZON
YAHOO
Mail - Savage, Tany..
MEGA ESSAYS
M GMAIL
7 Bank of America | H...
DEL ONE FCU
USAA | CHECKING...
S STUDY POOL
Other bookmarks
Knowledge Check
Question 5
Tanya
Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.)
p
The null hypothesis:
H, :0
The alternative hypothesis:
H :0
D=0
OSO
The type of test statistic:
(Choose one)
O#0
O<O
The value of the test statistic:
(Round to at least three
decimal places.)
The p-value:
(Round to at least three
decimal places.)
At the 0.05 level of significance, can the
psychologist conclude that the mean SI score
O Yes
O No
among smokers is different from 150?
I Don't Know
Submit
© 2020 McGraw-Hill Education. All Rights Reserved. Terms of Use I Privacy Accessibility
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11/3/2020
olo
II

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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