Applied-Algebra証明書は、クライアントの知識と実用能力を向上させる実用性と役割のため、多数の証明書の中でも際立っています。テストApplied-Algebra証明書を所有することは、クライアントが仕事を見つけ、クライアントが有能な人々であることの証拠を見つけるときに重いコーリングカードを所有することと同じです。 Applied-Algebraクイズ準備は、クライアントがテストの準備をするのに最適なオプションです。 Applied-Algebra学習資料は、高い合格率とヒット率を高めます。クライアントは、それらを使用した後に高く評価し、Applied-Algebra認定に合格するための重要なツールとして認識します。
| Section | Objectives |
|---|---|
| Topic 1: Polynomial Functions | - Interpret inputs and outputs for polynomial functions - Interpret rates of change for polynomial functions - Interpret concavity for polynomial functions |
| Topic 2: Logistic Functions | - Interpret inputs and outputs for logistic functions - Interpret asymptotes for logistic functions - Interpret rates of change for logistic functions |
| Topic 3: Validity of Models | - Examine utility - Determine validity - Determine fit |
| Topic 4: Functions and Algebra of Functions | - Derive conclusions based on data - Derive conclusions based on graphs - Derive conclusions based on notation |
| Topic 5: Graphical Depictions | - Interpret asymptotes for situations - Interpret maximum and minimum for situations - Interpret concavity for situations - Interpret inputs and outputs for situations - Interpret rates of change for situations |
| Topic 6: Exponential Functions | - Interpret rates of change for exponential functions - Interpret inputs and outputs for exponential functions - Interpret concavity for exponential functions |
| Topic 7: Linear Functions | - Interpret inputs and outputs of linear functions - Interpret rates of change for linear functions |
多くのIT業界の友達によるとWGU認証試験を準備することが多くの時間とエネルギーをかからなければなりません。もし訓練班とオンライン研修などのルートを通じないと試験に合格するのが比較的に難しい、一回に合格率非常に低いです。Tech4Examはもっとも頼られるトレーニングツールで、WGUのApplied-Algebra認定試験の実践テストソフトウェアを提供したり、WGUのApplied-Algebra認定試験の練習問題と解答もあって、最高で最新なWGUのApplied-Algebra認定試験「WGU Applied Algebra FXO2 PFXP C957」問題集も一年間に更新いたします。
質問 # 134
The function P(t)represents the weekly profit, in thousands of dollars, for a rental store since opening. The graph of P(t)is shown.
When did the store have its maximum weekly profit?
正解：A
解説：
The graph shows:
P(t)= " weekly profit in thousands of dollars "
where:
t= " years since opening "
The graph is a downward-opening curve, so it has a maximum value at its highest point. In Applied Algebra, the highest point of this kind of polynomial graph is called the vertex.
To answer the question, we need the t-value of the vertex because the question asks when the store had its maximum weekly profit.
From the graph, the highest point occurs between:
t=5
and
t=6
More specifically, it is approximately:
t=5.5
So the store had its maximum weekly profit approximately:
5.5 " years after opening "
質問 # 135
The growth of an animal population is shown in the graph. The instantaneous rate of change at point Pis 3.74.
Which interpretation of the instantaneous rate of change is correct?
正解：B
解説：
The graph shows population in thousands, and the horizontal axis represents:
" years since 1995 "
Point Pis located at approximately:
x=12
Since xrepresents years since 1995:
1995+12=2007
So point Pcorresponds to the year:
2007
The instantaneous rate of change at point Pis:
3.74
Because the vertical axis is measured in thousands, this means:
3.74 " thousand animals per year "
Convert thousands to actual animals:
3.74×1000=3740
So in 2007, the population was increasing by approximately:
3,740 " animals per year "
質問 # 136
The data in the scatterplot represents the number of people working at a research station over time. The graphed regression function has an r
2
value of 0.96. The predicted number of people working at the research station after 18.1 years is 541.
Is this prediction appropriate?
正解：A
解説：
The value r2=0.96 indicates a strong regression fit because it is very close to 1. A strong fit supports prediction better than a weak or moderate fit. However, prediction also depends on whether the x-value is within a reasonable extrapolation range. The prediction is made at x=18.1, which is beyond the maximum observed x-value in the scatterplot. Even though the model fits the data well, the prediction is too far beyond the observed data range.
For a strong model, extrapolation should not go more than about 50% of the range beyond the maximum value. Since x=18.1 exceeds that limit, the prediction is not appropriate. Therefore, the correct answer is B.
質問 # 137
A new company just launched and is using the function M(t) to predict its market share after t years. The graph of M(t) is shown.
When should the company expect to have a market share of 60%?
正解：D
解説：
This question uses a logistic function, which often models growth that starts slowly, increases rapidly, and then levels off near a maximum value. The input t represents years, and M(t) represents market share as a percent. To find when the company reaches a 60% market share, locate 60 on the vertical axis and identify where the graph reaches that height. Then read the corresponding value on the horizontal axis. From the graph, the curve reaches 60% slightly after 6 years, approximately at t=6.6. The value after 6 years is close but not yet at 60%. Therefore, the company should expect to reach 60% market share after about 6.6 years.
The correct answer is D.
質問 # 138
A researcher collected data on the average number of product returns per month to a company over time. The results are shown in the scatterplot. The graphed regression function has an r
2
value of 0.45.
Which range of x-values is appropriate for extrapolation?
正解：B
解説：
The coefficient of determination, r
2
, measures how well a regression model fits the data. A value close to 1 indicates a strong fit, while a lower value indicates that the model does not explain the data as reliably. Here, r
2
=0.45, which is below 0.7. That means the model does not have a strong enough fit for reliable extrapolation in this question. Extrapolation means using the model to predict values outside the observed data range, which is riskier than interpolation. Because the model fit is not strong, choosing an extended range of x-values would not be appropriate. The correct reason is that extrapolation is not appropriate because r
2
< 0.7. Therefore, the answer is D.
質問 # 139
......
当社の設立以来、私たちはApplied-Algebra試験資料に大規模な人材、資料、および財源を投入してきましたが、これまで、私たちは間違いなく研究資料を全世界に紹介し、幸運を求めるすべての人々を作るという大胆な考えを持っています より良い機会は、彼らの人生の価値を実現するためのアクセス権を持っています。 したがって、当社のApplied-Algebra練習問題は、試験に合格し、より良い未来を勝ち取るのに役立ちます。 また、常に先駆的な精神を持ち続け、あなたの道を歩むプロジェクトに積極的に取り組みます。
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