Answer:
The expression is (-24) / 6 = -4degrees which means that in each week the average change in temperature was -4 degrees Celsius.
Step-by-step explanation:
Change in a quantities can as well be interpreted as rate of change which is used in many everyday problems, such as weather forecast, traveling , in science and so on.When we are talking about rate of change it's is usually in ratio such as Miles per hour or feet per second can be used in calculation involving rates of speed. It is how one quality is changing with respect to time , for instance, rate equals distance divided by time: r = d/t.
In finance rate of change is also applicable we can have Unit price which is a particular rate that compares a price to some unit of measure. Example is $64 per dozen.
Therefore, Given from the question,
The temperature of a city changed -24 degrees Celsius ,
Time =6 weeks period.
Then change is r = d/t.
= (-24) / 6
Change = (-24) / 6 = -4 degrees
This means that each week the average change in temperature was -4 degrees Celsius.
Answer:
m=8
Step-by-step explanation:
-88=-3(4m+5)-(1-3m)
-88=-12m-15-(1-3m) <- Distributive Property
-88=-12m-15-1+3m <- Open () if there is a negative negative the symbol equals positive
-88=-9m-16 <- Simplify
0=-9m+72 <- Add 88 to both sides
9m = 72 <- Add 9m to both sides
9m = 72
/9 /9
m=8
Answer:
39
Step-by-step explanation:
ur welcome
Answer: (22.41, 25.59)
Step-by-step explanation:
The t-critical value with 17 degrees of freedom for a 95% confidence interval is : 2.11
Sample mean = 24
Standard deviation = 3.2
Standard error of mean = s / √ n
Standard error of mean = 3.2 / √ 18
SE = 3.2/4.2426
Standard error of mean 0.7542
Confidence interval 24-(0.7542)(2.11) = 22.41 and
24+(0.7542)(2.11) =25.59
Null hypothesis: There is no significant association between the existing process and the new process for reducing the population proportion of screens that will be rejected
.
Alternative hypothesis :There is a significant association between the existing process and the new process for reducing the population proportion of screens that will be rejected
.
Finally the null hypothesis will be rejected and we should accept the alternate hypothesis
Step-by-step explanation:
In the existing process the sample size and population was not known.,but the percentage of rejected screens were given as 12%.,but in the new process out of 100 screens only 6 are rejected
percentage of rejected screens using new process = 6÷ 100 ×100 = 6%
percentage of rejected screens using existing (old) process = 12%
so the new process is the effective one which reduces the rejection rate of screens., hence it is concluded that There is a significant association between the existing process and the new process for reducing the population proportion of screens that will be rejected
.
so the null hypothesis will be rejected and we should accept the alternate hypothesis
