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frutty [35]
3 years ago
9

5.49 EE14

Mathematics
1 answer:
m_a_m_a [10]3 years ago
6 0

Answer:

5.555.5 im pretty sure

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Topic 3 Assessment (Percent)
yuradex [85]

Answer:

44%

Step-by-step explanation:

60%-16% the answer is up ahead.

5 0
3 years ago
Solve each equation. Check your solution.<br> 3(n - 7) = -30
uranmaximum [27]
3(n-7)=-30
3n-21= -30
3n = -9
n= -3
5 0
3 years ago
Read 2 more answers
PLEASE HELP ME!
sattari [20]

You want to know how long it'll take for the bacteria to grow
to (800/500) = 1.6 times their initial population.

The number of double-times it'll take is 

                         [ log(1.6) / (log(2) ]  =  0.6781 .

The double-time for these particular critters is 12 hours,
so it'll take them

                             0.6781  x  12 hours  =  8.137 hours

                                                                =  8 hours  8.2 minutes .
3 0
3 years ago
Sal's Sandwich Shop sells wraps and sandwiches as part of its lunch specials. The profit on every sandwich is $2 and the profit
kifflom [539]
This is a very long question. I'm not going to write all of it out but I will give you a starting point. Find your x by making y in the formula equal to 0.

2x + 3y = 1470

2x + 3(0) = 1470

2x = 1470

x = 735

Your furthest point on the x axis is (735,0).

Do the same for y.

2x + 3y = 1470.

2(0) + 3y = 1470

3y= 1470

y= 490

Your highest point is (0,490).

Now that both are plotted, draw a straight line connecting the two points. There's your graph.

Check
8 0
3 years ago
When comparing more than two treatment means, why should you use an analysis of variance instead of using several t tests?
Finger [1]

Answer:

Because it increases the risk of Type 1 error

Step-by-step explanation:

ANOVA is the analysis of the variance .

When comparing more than two treatment means we use ANOVA because a t test increases the risk of type 1 error  .

For example if we wish to compare 4 population means there will be 4C2 = 6 separate pairs and to test the null hypothesis that all four population means are equal would require six two sample t test. Similarly to test 10 population mean would require 45 separate two sample t test.

This has two disadvantages .

First the procedure is too lengthy  and tediuos.

Second the overall level of significance greatly increases as the number of t- tests increases.

The analysis of the variance compares two different estimates of variance using the F distributionto determine whether the population means are equal.

6 0
3 years ago
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