What type of triangle is pictured?

An experiment has conducted a single-factor completely randomized design with three levels of factors and five replicates. The c

Ad libitum [116K]

Answer / Step-by-step explanation:

To properly understand the principle behind the solving of this question, it would be necessary to define and go through some basic terms and their definition.

Therefore to start with, a completely randomized single factor is a type of experiment in which One factor of two or more levels has been manipulated. e.g, the experiment may be investigating the effect of different levels of cost, expenditure or different advertisements

Also, it should be noted that in the area of groping of the experiment, At this point, Each group of different level receives one of the a levels of the independent variable with participants being treated identically in every other respect. The two-group experiment considered previously is a special case of this type of design.

Consequentially, the answer to the narrative of the question would then be:

N= 3 factors levels x 5 replicates = 15

Degrees of freedom for the factor: a – 1 = 3 – 1 = 2

Degrees of freedom Total = 15 – 1= 14

Degrees of freedom error = Total – factor = 14 – 2 = 12

Bounds of P-value for F = 2.91 with 2 and 12 degrees of freedom are

= 0.01 < P < 0.05

3 0

4 years ago

Fill in the last two boxes.

White raven [17]

45+ 35+20=100
R=100=45
N =128

3 0

4 years ago

A grower believes that one in five of his citrus trees are infected with the citrus red mite. How large a sample should be taken

mihalych1998 [28]

Answer:

n=6147

Step-by-step explanation:

1) Notation and definitions

$X=1$ number of citrus trees that are infected with the citrus red mite.

$n=5$ random sample taken

$\hat p=\frac{1}{5}=0.2$ estimated proportion of citrus trees that are infected with the citrus red mite.

$p$ true population proportion of citrus trees that are infected with the citrus red mite.

Me=0.01 represent the margin of error desired

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{\hat p(1-\hat p)}{n}})$

In order to find the critical values we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by $\alpha=1-0.95=0.05$ and $\alpha/2 =0.025$ . And the critical values would be given by: