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k0ka [10]
2 years ago
8

The pH of lemon juice at 298 K is found to be 2. 32. What is the concentration of mc014-1. Jpg ions in the solution? Use StartBr

acket upper H subscript 3 upper O superscript plus EndBracket equals 10 superscript negative p H. 1. 05 times 10 to the negative 3 moles per liter. 4. 79 times 10 to the negative 3 moles per liter. 2. 09 times 10 squared moles per liter. 9. 55 times 10 squared moles per liter.
Mathematics
1 answer:
sdas [7]2 years ago
8 0

The concentration of ions in the solution of lemon juice whose pH value is 2.32 is 4.79×10⁻³ M.

<h3>What is pH value?</h3>

The pH value shows that how much a solution is acidic or basic. The range of the pH value lies between the 0-14.

The pH value can be calculated with the following formula.

\rm pH=log[H^{+}]

Here, [H⁺] is the molar hydrogen ion concentration.

The pH of lemon juice at 298 K is found to be 2. 32. Put this value of pH in the above formula as,

\rm 2.32=log[H^{+}]\\\ [H^{+}]=4.79\times10^{-3} \rm \; M

Hence, the concentration of ions in the solution of lemon juice whose pH value is 2.32 is 4.79×10⁻³ M.

Learn more about the pH value here;

brainly.com/question/940314

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Answer:

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Step-by-step explanation:

From the question we are told that

  The sample size is  n  =  118  

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Generally the sample proportion is mathematically represented as

      \^ p = \frac{44}{118}

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Generally given that the confidence level is  95% the level of significance is mathematically represented as

       \alpha  =  (100 -95) \%

=>     \alpha = 0.05

Generally from the normal distribution table the critical value  of  \frac{\alpha }{2} is  

   Z_{\frac{\alpha }{2} } =  1.96

Generally the margin of error is mathematically represented as  

     E =  Z_{\frac{\alpha }{2} } * \sqrt{\frac{p(1 - p)}{n} }

=>   E =  1.96 * \sqrt{\frac{0.3729(1 - 0.3729)}{118} }

=>    E = 0.0872

Generally 95% confidence interval is mathematically represented as  

             \r p -E <  p <  \r p +E

=>    0.3729 -0.0872<  p <  0.3729 +0.0872

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P(\bar X

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So we can find this probability equivalently like this:

P( Z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

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We select n =100. Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

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