The pH shows the degree of acidity of alkalinity of a solution. The pH of the HF can be obtained from the ICE table.
<h3>What is pH?</h3>
The term pH refers to the hydrogen ion concentration of a solution. Recall that acids produce hydrogen or oxonium ion in solution.
The first step to determine the pH of the HF solution is to set up the ICE table as shown;
HF + H2O ⇄ H3O^+ + F^-
I
C
E
The values of the initial concentration of HF as well as the Ka of HF are not given. If these two values are give, the pH can be obtained from;
Ka = [H3O^+] [ F^-]/[HF] Knowing that [H3O^+] = [ F^-] = x
Learn more about pH: brainly.com/question/22074421
Answer:
From 1919 to 1933, Germany was governed by the Weimar Republic.
Beginning in 1929, the German economy was affected by economic problems in the United States.
In Mein Kampf, Hitler asserted the superiority of the Aryan
race.
In 1933, Adolf Hitler was appointed chancellor
of Germany.
Answer:
- No, the points are evenly distributed about the x-axis.
Explanation:
<u>1. Write the table with the data:</u>
x given predicted residual
1 - 3.5 - 1.1
2 - 2.9 2
3 - 1.1 5.1
4 2.2 8.2
5 3.4 1.3
<u>2. Complete the column of residuals</u>
The residual is the observed (given) value - the predicted value.
- residual = given - predicted.
Thus, the complete table, with the residual values are:
x given predicted residual
1 - 3.5 - 1.1 - 2.4
2 - 2.9 2 - 4.9
3 - 1.1 5.1 - 6.2
4 2.2 8.2 - 6.0
5 3.4 1.3 2.1
<u>3. Residual plot</u>
You must plot the last column:
x residual
1 - 2.4
2 - 4.9
3 - 6.2
4 - 6.0
5 2.1
See the plot attached.
<em>Does the residual plot show that the line of best fit is appropriate for the data?</em>
Ideally, a residual plot for a line of best fit that is appropiate for the data must not show any pattern; the points should be randomly distributed about the x-axis.
But the points of the plot are not randomly distributed about the x-axis: there are 4 points below the x-axis and 1 point over the x-axis: there are more negative residuals than positive residuals. This is a pattern. Also, you could say that they show a curve pattern, which drives to the same conclusion: the residual plot shows that the line of best fit is not appropiate for the data.
Thus, the conclusion should be: No, the points have a pattern.
- 1. "<em>Yes, the points have no pattern</em>": false, because as shown, the points do have a pattern, which makes the residual plots does not show that the line of best fit is appropiate for the data.
- 2. "<em>No, the points are evenly distributed about the x-axis</em>": true. As already said the points have a pattern. It is a curved pattern, and this <em>shows the line of best fit is not appropiate for the data.</em>
- 3. "<em>No, the points are in a linear pattern</em>": false. The points are not in a linear pattern.
- 4. "<em>Yes, the points are in a curved pattern</em>": false. Because the points are in a curved pattern, the residual plot shows that the line of best fit is not appropiate for the data.
Answer:
D. Comets spend most of their time far from the Sun.
Answer:
The difference is that the cumulative GPA covers shorter periods, like a term or a semester. The overall GPA refers to the average grades obtained by a student throughout his entire academic experience. This means the overall GPA includes grades from all terms and semesters.
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hope that helps