our sample size is 30Calculate the test statistic and p-value. Assuming that α = 0.01, what is the appropriate conclusion to make?Group of answer choicesSince the p-value is greater than 0.01, we fail to reject the null hypothesis and have insufficient evidence to conclude that at least one plant group’s mean weight is different.Since the p-value is greater than 0.05, we fail to reject the null hypothesis and have insufficient evidence to conclude that at least one plant group’s mean weight is different.Since the p-value is greater than 0.01, we reject the null hypothesis and conclude that at least one plant group’s mean weight is different.Since the p-value is less than 0.05, we reject the null hypothesis and conclude that at least one plant group’s mean weight is different. Y Brigham Young Un x8 BYU Learning Suite XY Quiz: Credit QuizO Stat 121 Analysis T Xb My Questions | ba xQ Quiz 30-ANOVA (a xG Suppose a study w x+A Not secure | shinyserver.byu.edu/users/stat121res/shinyApp/Which plot would you like to draw?Histogramsctrltrtltrt23'54:04'55.05's6.0354.04's5.0weight5.56.03'54:04's5.05'56.0Which numerical summary would you like to calculate for each group?Proceed to Statistical Inference8:20 PMP Type here to search45O G 4x11/16/2020count近 Y Brigham Young Un x8 BYU Learning Suite XY Quiz: Credit Quiz6 Stat 121 Analysis T Xb My Questions | ba xQ Quiz 30-ANOVA (a xG Suppose a study w x+A Not secure shinyserver.byu.edu/users/stat121res/shinyApp/Proceed to Statistical Inference4) Performing the TestANOVA (F-test) if means are equalF-statistic: 4.846088p-value = 0.01591trt2 -ctrl -4's5.0weight5'56.08:22 PMP Type here to searchO G 4x11/16/2020

Name: our sample size is 30Calculate the test statistic and p-value. Assumin
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Description: our sample size is 30Calculate the test statistic and p-value. Assuming that α = 0.01, what is the appropriate conclusion to make?Group of answer choicesSince the p-value is greater than 0.01, we fail to reject the null hypothesis and have insufficie

From the given output, the test statistic is 4.846 p value is 0.0159

Answered: Calculate the test statistic and…

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our sample size is 30

Calculate the test statistic and p-value. Assuming that α = 0.01, what is the appropriate conclusion to make?

Group of answer choices

Since the p-value is greater than 0.01, we fail to reject the null hypothesis and have insufficient evidence to conclude that at least one plant group’s mean weight is different.

Since the p-value is greater than 0.05, we fail to reject the null hypothesis and have insufficient evidence to conclude that at least one plant group’s mean weight is different.

Since the p-value is greater than 0.01, we reject the null hypothesis and conclude that at least one plant group’s mean weight is different.

Since the p-value is less than 0.05, we reject the null hypothesis and conclude that at least one plant group’s mean weight is different.

Y Brigham Young Un x
8 BYU Learning Suite X
Y Quiz: Credit Quiz
O Stat 121 Analysis T X
b My Questions | ba x
Q Quiz 30-ANOVA (a x
G Suppose a study w x
+
A Not secure | shinyserver.byu.edu/users/stat121res/shinyApp/
Which plot would you like to draw?
Histograms
ctrl
trtl
trt2
3'5
4:0
4'5
5.0
5's
6.0
35
4.0
4's
5.0
weight
5.5
6.0
3'5
4:0
4's
5.0
5'5
6.0
Which numerical summary would you like to calculate for each group?
Proceed to Statistical Inference
8:20 PM
P Type here to search
45
O G 4x
11/16/2020
count
近

Y Brigham Young Un x
8 BYU Learning Suite X
Y Quiz: Credit Quiz
6 Stat 121 Analysis T X
b My Questions | ba x
Q Quiz 30-ANOVA (a x
G Suppose a study w x
+
A Not secure shinyserver.byu.edu/users/stat121res/shinyApp/
Proceed to Statistical Inference
4) Performing the Test
ANOVA (F-test) if means are equal
F-statistic: 4.846088
p-value = 0.01591
trt2 -
ctrl -
4's
5.0
weight
5'5
6.0
8:22 PM
P Type here to search
O G 4x
11/16/2020

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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