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yKpoI14uk [10]
3 years ago
5

Round 0.698 to nearest hundredth

Mathematics
2 answers:
labwork [276]3 years ago
8 0

Answer:

0.7

because the 8 would've rounded the 9 up and the 9 can only turn into 10 which means the 6 will become a 7.

DerKrebs [107]3 years ago
6 0
0.70 the 9 is in the hundredth place so you use the 8 in the thousandths place to round it up to 0.70
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Write the equation of the line that is parallel to y = -6x + 10 and crosses the y-axis at -4.
ikadub [295]

Answer:

y= -6x-4

Step-by-step explanation:

As two lines are parallel, their slope is same which is -6

Now, use:y-y1=m(x-x1)

y-(-4)= -6(x-0) (y1=-4,x1=0, cause the equation of y axis is x=0)

So,y= -6x-4

6 0
3 years ago
A population of protozoa develops with a constant relative growth rate of 0.4964 per member per day. On day zero the population
vodka [1.7K]

Answer:

The population size after eight days is about 265

Step-by-step explanation:

This is an example of an exponential growth model. A quantity <em>y</em> that grows or decays at a rate proportional to its size fits in an equation of the form

\frac{dy}{dt}=ky

where k is a positive constant. Its solutions have the form

y=y_{0}e^{kt},

where y_{0} =y(0) is the initial value of y.

The population size can be calculated by using the below formula:

P(t)=P(0)e^{kt} where P(0) is the population on day zero.

Let t be the time in days,

We know from the information given that:

  • k = 0.4964 per member per day and
  • The day zero (t = 0) the population size is 5 (P(0) = 5)

To find the population size after eight days

Substitute P(0) = 5, k=0.4964 in P(t)=P(0)e^{kt}

Then

P(t)=5e^{0.4964\cdot t}

Now we calculate P(t) when t = 8 days

P(8) = 5e^{0.4964\cdot 8}\\P(8) = 5e^{3.9712}\\e^{3.9712}=53.04815\dots \\P(8) = 5 \cdot 53.04815\dots\\P(8) = 265.24075\dots \approx 265

Therefore the population size after eight days is about 265

8 0
3 years ago
The slope is 2.92, which shows a positive relationship because it is a positive number. The
Alona [7]
Yes it does make sense.
6 0
3 years ago
a farmer wishes to test the effects of a new fertilizer on her wheat yield. she has four equal-sized plots of land-- one with sa
Fofino [41]

Using the concept of Randomized Design ,we got 4 levels of treatment heave been done by farmer in this experiment.

1.Completely Randomized Design :-

A completely randomized design is basically the simplest experimental design, in terms of data analysis and convenience. With this design, subjects are randomly assigned to treatments.

This completely randomized design actually relies on randomization to control for the effects of extraneous variables. The experimenter actually assumes that, on average, extraneous factors will affect treatment conditions equally; so any relevant differences between conditions can fairly be attributed to the independent variable.

2.Double Blind Design :-

In an experiment, if subjects in the control group knows that they are receiving a placebo, the placebo effect will be reduced or will be eliminated; and the placebo will not serve its intended control purpose.

Blinding is basically the practice of not telling subjects whether they are receiving a placebo. In this way, subjects which are in the control and treatment groups experience the placebo effect equally. Often, knowledge of which groups receive placebos is also keep from analysts who evaluate the experiment. This practice is called double blinding. It prevents the analysts from "spilling the beans" to the subjects through subtle cues; and it assures that their evaluation is not tainted by the awareness of actual treatment conditions.

3.Matched Pairs Design :-

A matched pairs design is actually a special case of a randomized block design. It can be used when the experiment has basically only  two treatment conditions; and subjects can be grouped into pairs, on the basis of some blocking variable. Then, within each pair, subjects are randomly assigned to different treatments.

4.Randomized Block Design :-

With a randomized block design, the experimenter actually divides subjects into subgroups called blocks, such that the variability within blocks will become  less than the variability between blocks. Then, subjects within each block are randomly assigned to treatment conditions.

Hence, we got 4 levels of treatment have been done by farmer in this experiment.

To know more about Randomized Design ,visit here:

brainly.com/question/17128981

#SPJ4

5 0
1 year ago
Maria said the 4 in 400,000 has a value of 400 is maria correct explain
AlladinOne [14]
No Maria is wrong because if you look at placement value you would see 4 is in the one hundred thousands place.
5 0
3 years ago
Read 2 more answers
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