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LAB 8 A company produces a bag of mixed candies with five flavors: Cherry, Lemon, Orange, Strawberry, and Grape [numbers shown below]. The company claims the flavors are distributed equally. A quality control inspector takes a random sample of 100 candies and counts the number of each flavor. Expected count (E) for each flavor = 20 candies.   1. What is the P value results for this Chi-square test? [you will need to complete the Chi square test]   (number only…..no narrative)    2. Select the correct the Hypothesis either A or B [must show correct P value number in #1 for credit]   Null Hypothesis (Good Fit) The candies of all five flavors are distributed equally. Alternative Hypothesis (Poor Fit) At least one flavor’s proportion is different from the equal proportion.

LAB 11 Since the Green allele was dominant to the Yellow and Red alleles, all green fish had at least two green allele.   

Lab 8 A company produces a bag of mixed candies with five flavors: Cherry, Lemon, Orange, Strawberry, and Grape [numbers shown below]. The company claims the flavors are distributed equally. A quality control inspector takes a random sample of 100 candies and counts the number of each flavor. All expected counts are 20 for each. How many degrees of freedom are used in this Chi square test? 

Lab 6 The cytoskeleton is responsible for both maintaining cell shape and enabling intracellular transport.

LAB 8 Why were wildlife managers concerned about the deer population in 1970? Wolves attacking the deer herd Uncontrolled herd growth could lead to overgrazing and starvation A rapid population decline in the deer  The population decline of wolves Deer being hunted to frequently

The following network is designed for a dataset with image sizes of 37x37x3 and a ten-class classification problem. Consider padding of 1 with a stride of 2, fill out the spaces 1. [1], 2. [2], and 3. [3] in digits. Note: Report your results in digits. Do not include commas. Remember to include bias.  

The following code was used to design an NN model to classify the CIFAR10 dataset. We used a 70% dropout in the fully connected layers. The model summary is shown in the image below. Fill in the blanks.  #defining the model model_a=Sequential() model_a.add(Conv2D([blank1], (3, 3), padding=’same’, input_shape=x_train.shape[1:])) model_a.add(Activation(‘relu’)) model_a.add(Conv2D([blank2], (3, 3), padding=’same’)) model_a.add(Activation(‘relu’)) model_a.add(MaxPooling2D(pool_size=([blank3], [blank4])) model_a.add(Conv2D([blank5], (3, 3), padding=’same’)) model_a.add(Activation(‘relu’)) model_a.add(Conv2D([blank6], (3, 3), padding=’same’)) model_a.add(Activation(‘relu’)) model_a.add(MaxPooling2D(pool_size=([blank7], [blank8]))) model_a.add(Flatten()) model_a.add(Dense(units=[blank9], activation=’relu’)) model_a.add(Dropout([blank10])) model_a.add(Dense(units=[blank11], activation='[blank12]’)) model_a.summary()    

Which is a CORRECT statement about adjusting the damage estimates in economic damage for the time value of money? (3 points)

Which of the following is NOT a type of lost profit the plaintiff can include in their damage estimates? (4 points)

Which of the following is NOT correct regarding the discounted cash flow appraoch? (4 points)