Here is a dataset containing plant growth measurements of plants grown in solutions of commonly-found chemicals in roadway runoff. Phragmites australis, a fast-growing non-native grass common to roadsides and disturbed wetlands of Tidewater Virginia, was grown in a greenhouse and watered with either:     Distilled water (control);     A weak petroleum solution (representing standard roadway runoff);     Sodium chloride solution;     Magnesium chloride solution;     De-icing brine (50% sodium chloride and 50% magnesium chloride). Twenty grass preparations were used for each solution, and total growth (in cm) was recorded after watering every other day for 40 days. -Perform the correct statistical test to determine the p-value. -Report your answer rounded to four decimal places. -You should use formulas, functions, and the Data Analysis ToolPak in MS Excel to avoid additive rounding errors.  Here are some useful functions:     =t.test(array1,array2,tails,type)         Produces a p-value for any type of a t-test from a data set     =chidist(x,degrees of freedom)         Produces a p-value from a calculated chi-squared statistic     ANOVA Single Factor from the data analysis tool pack         Performs a 1-way ANOVA on a data set with only one factor      ANOVA 2-Factor from the data analysis tool pack          Performs an ANOVA on data with multiple treatments      Regression from the data analysis tool pack          Performs a linear regression and the corresponding t-test on the slope of the line

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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  1. Here is a dataset containing plant growth measurements of plants grown in solutions of commonly-found chemicals in roadway runoff.

    Phragmites australis, a fast-growing non-native grass common to roadsides and disturbed wetlands of Tidewater Virginia, was grown in a greenhouse and watered with either:
        Distilled water (control);
        A weak petroleum solution (representing standard roadway runoff);
        Sodium chloride solution;
        Magnesium chloride solution;
        De-icing brine (50% sodium chloride and 50% magnesium chloride).
    Twenty grass preparations were used for each solution, and total growth (in cm) was recorded after watering every other day for 40 days.

    -Perform the correct statistical test to determine the p-value.
    -Report your answer rounded to four decimal places.
    -You should use formulas, functions, and the Data Analysis ToolPak in MS Excel to avoid additive rounding errors.  Here are some useful functions:
        =t.test(array1,array2,tails,type)
            Produces a p-value for any type of a t-test from a data set
        =chidist(x,degrees of freedom)
            Produces a p-value from a calculated chi-squared statistic
        ANOVA Single Factor from the data analysis tool pack
            Performs a 1-way ANOVA on a data set with only one factor
         ANOVA 2-Factor from the data analysis tool pack
             Performs an ANOVA on data with multiple treatments
         Regression from the data analysis tool pack
             Performs a linear regression and the corresponding t-test on the slope of the line

A
C
E
F
Distilled H2O
Petro
Nacl
MgCI
Nacl + MgCI
20.08
19.98
19.83
20.02
19.92
19.95
20
19.98
19.91
19.99
20.05
20.07
19.82
20.02
19.7
19.9
19.81
20.07
19.99
19.96
20.11
19.82
20.03
19.92
19.74
20.03
19.87
19.8
20.07
19.94
20.01
19.88
19.97
19.87
19.73
19.91
19.93
19.84
19.88
19.71
20.04
19.82
19.87
19.78
19.88
19.96
19.81
19.97
20.06
19.92
20.11
19.84
19.8
20.05
19.99
19.98
20
19.97
20.03
19.88
20.1
19.96
19.99
20.1
19.83
20.11
19.96
20.1
19.86
19.99
20
20.06
19.93
19.83
19.99
19.91
20.08
19.99
20.05
19.8
19.98
19.98
20.1
20
19.94
20.05
19.97
19.93
19.93
19.73
19.91
19.82
20.02
19.8
19.93
19.99
19.99
19.93
19.87
19.77
Transcribed Image Text:A C E F Distilled H2O Petro Nacl MgCI Nacl + MgCI 20.08 19.98 19.83 20.02 19.92 19.95 20 19.98 19.91 19.99 20.05 20.07 19.82 20.02 19.7 19.9 19.81 20.07 19.99 19.96 20.11 19.82 20.03 19.92 19.74 20.03 19.87 19.8 20.07 19.94 20.01 19.88 19.97 19.87 19.73 19.91 19.93 19.84 19.88 19.71 20.04 19.82 19.87 19.78 19.88 19.96 19.81 19.97 20.06 19.92 20.11 19.84 19.8 20.05 19.99 19.98 20 19.97 20.03 19.88 20.1 19.96 19.99 20.1 19.83 20.11 19.96 20.1 19.86 19.99 20 20.06 19.93 19.83 19.99 19.91 20.08 19.99 20.05 19.8 19.98 19.98 20.1 20 19.94 20.05 19.97 19.93 19.93 19.73 19.91 19.82 20.02 19.8 19.93 19.99 19.99 19.93 19.87 19.77
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