Answer:
x = 1
Step-by-step explanation:
Rearrange equation by making x's on one side and numbers on the other
2x - x = 9 - 8
x = 1
Answer:
Let us assume that the original purse is $100. The price after the first reduction is $80. After the second reduction the price is now $56.
Step-by-step explanation:
hope this helps
The answer is (<span><span>3.6<span>x^3 </span></span>− <span>3.766667x</span></span>+<span><span>−1/</span><span>6)
Hope this helps</span></span>
The constant rate of change of the account is $40 or Increasing by $40 per month.
Step-by-step explanation:
Consider the provided information.
Joanne is depositing money into a bank account. After 3 months there is $120 in the account. After 6 months there is $240 in the account.
Rate of change is known as how one quantity change in relation to other.
The rate of change can be calculated as:
y2-y1/x2-x1
Now use the above formula to calculated the rate of change.
240 - 120/6-3
120/3
40
Hence, the constant rate of change of the account is $40 or Increasing by $40 per month.
Answer:
The data is quantitative
Data is discrete
The highest level is Ordinal
Step-by-step explanation:
Data is of quantitative type when it allows us to measure, in a numerical and objective way, the differences between different observations. Eventhough the supervisor uses words ( fair, poor etc) he can assign numerical values and measure differences between observations that has sense. Qualitative data refers to opinions, stories, interviews, images or data that cannot be interpreted numerically and has subjective interpretations depending in researcher.
Data is discrete because the variable measured: evaluation rating, can only takes certain specific values (1 to 5) A continuous variable, such as height can take many values in a ratio or real line,
Nominal data refers to variables that takes two possible values - the presence and absence of a characteristic, like being or not being a minor. Ordinal variables are variable which are discrete but the value of the variable allows to classify data in a specific order. This is the case of the rating scale. Interval variables are are ones that have specific low levels and high levels like age ranges.