Answer:
<em>The calculated value |Z| = |-2.5| >2.326 at 0.05 level of significance</em>
<em>The alternative hypothesis is accepted at a 0.05 level of significance</em>
The manager of Publix in Clemson believes 64% is too high for his own store
Step-by-step explanation:
<u><em>Step:-1</em></u>
Given that the consumer Reports showed that 64% of supermarket shoppers.
Given that the population proportion
P = 0.64
Given that random sample size 'n' = 100
Given that 52 believe the supermarket brands were as good as the national brands.
<em>sample proportion</em>
<em> </em>
<em></em>
<u><em>Step:-2</em></u>
<u><em>Null hypothesis: </em></u>The manager of the Publix in Clemson believes 64% is too low for his own store
μ < 0.64
<u><em>Alternative Hypothesis:H₁:</em></u>μ > 0.64
Test statistic


Z = -2.5
<em>Level of significance = 0.05</em>
<em>Z₀.₀₅ = 2.326</em>
<em>The calculated value |Z| = |-2.5| >2.326 at 0.05 level of significance</em>
<u><em>Final answer</em></u><em>:-</em>
<em>The null hypothesis is rejected at a 0.05 level of significance</em>
<em>The alternative hypothesis is accepted at a 0.05 level of significance</em>
The third quartile of this data set is B. 24.
I think the awkward science is quite amusing to me
Answer: " 15 % " .
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→ " 12 is <u> 15% </u> of 80 " .
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Step-by-step explanation:
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12 = (n/100) * 80 ;
12 = (80n) /100 ; Solve for "n:
Note: 80/100 = (80/10) / (100/10) = (8/10) = 0.8 ;
12 = (0.8)n ;
↔ (0.8n) = 12
Multiply each side of the equation by "10" ; to get rid of the "decimal" ;
10 * (0.8n) = 10 * 12 ;
to get:
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8n = 120 ;
Divide each side of the equation by "8" ;
to isolate "n" on ONE SIDE of the equation; & to solve for "n" ;
8n/8 = 120/ 8 ;
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to get:
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n = 15 .
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Answer: " 15 % " .
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→ " 12 is <u> 15% </u> of 80 " .
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Hope this helps!
Best wishes!
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