Oct 22 2014

GF Thai Chicken Pizza

During the school semester, pizza night strikes all too often around this house, with bustling schedules torn between work, the bakery, school, homework, and a social life (a rarity around these parts!); take out is a love of mine. But have you gone to purchase a gluten free pizza at a take out (Domino’s and Papa Murphy’s – I am talking to you), paying $12 for a plain 1 topping 12 inch gluten free pizza (hello, cross contamination!!) while the rest of the family enjoys their family size 18 inch over the top packed to the brim with goodies for $10?


Tonight was a much needed pizza night, and I was mad craving some Thai Chicken pizza, loaded with sweet and savory flavors. I wandered over to the local pizza shop and I price checked what the gluten free version of this pizza would cost, as I was picking up my darling husband his all-time favorite, pepperoni on garlic white sauce. A whopping $18… For a 12 inch pizza? Sorry, I will pass the plate, the rest of you can enjoy that, while I make my own, which I KNOW will taste good, and cost much much less…

I quickly mentally noted what items I would need to make this delightful dish and rushed to the grocery store to acquire the needed supplies. IMG_7932

I used this crust

a thin layer of sweet chili sauce

uber thinly sliced cucumbers

diced chicken

diced red onion

diced green onion

very thin layer of cheese (mozzarella and sharp cheddar)

baked at 425 for about 20 mins, and sprinkled with red pepper flakes.


Oct 8 2014

GF tempura with spicy orange sauce

I was mad craving some good, like hella good spicy orange Asain chicken today. The good crunchy kind you just can’t get from oven baking or grilling. So, after searching the Internet for far too many hours I comprimised and created my own recipe, and it tasted the same as I remember! *Cue heavenly sounds*

1 1/2 cup tapioca flour
1/2 cup brown rice flour
1/4 tsp baking powder
1 tsp salt
1/2 tsp vegetable oil
1 cup water

Juice and zest of 3 oranges
2 Tbsp gluten free soy sauce
1 Tbsp freshly grated ginger
2-3 cloves garlic, pressed
1 tsp red pepper flakes
2 Tbsp rice vinegar
1/2 cup honey

1/2 cup diced green onions

2 tsp corn starch

4 large chicken breasts, cubed

In a large pot heat oil {we used vegetable} to 375* farehneit and begin dredging the chicken in the batter until the oil is to cooking temperature.  Add the chicken piece by piece until there is about 1/2 the pot width covered. Allow to bake for about 5-7 minutes. Carefully remove each piece with tongs or a metal slotted scoop and place on a paper towel to absorb the excess oil. Mix with the sauce and serve hot. I served with a side on Benihanna style fried rice.

Aug 21 2014

GF Veggie Soup + Chicken Avocado Quesadillas

Tomato soup and grilled cheese are so old school. Try this new combo to add some excitement to your favorite comfort food.

GF Veggie Soup

1 large head cauliflower – chopped

1 large onion – chopped

2 cups carrots – shredded/chopped

3 red bell peppers – chopped + roasted

3 lbs tomatoes – roasted

2 cups pesto

2 cups half and half

32oz chicken broth

In a large soup pot, sauté the cauliflower and onions with a small amount of oil. Once sautéed, add the remaining veggies and the chicken broth. Allow to simmer for about 30mins, with an immersion blender, blend the soup into a texture that is palatable to you, I enjoy mine very thin with few chunks. Reduce the heat and add the pesto and half + half and mix well.

Best served with quesadillas for dipping! Freezes well.


GF Chicken Avocado Quesadillas

Grilled chicken breast – chopped

Avocado – sliced

Pepper Jack cheese

Cheddar cheese

Green Onions – diced

Rudi’s Fiesta Tortillas are my all time favorite go-to for tortillas. A necessity in any Celiac home. Trust me. Mix all these goodies in together on top of your tortilla and allow the cheese to melt. I suggest dipping into Veggie Soup!


May 4 2014

GF Gouda Mac and Chives

GF Gouda Mac and Chives16oz gf pasta – el dente (I love shells for mac and cheese)
8oz smoked gouda (cubed)
2oz white cheddar (cubed)
1/2 cup milk
1/2 cup diced sautéed onions
Small handful of diced chives
Fresh ground black pepper to taste

In a skillet bring the milk to a low boil, add cheeses, mix well until melted, add onions and chives. Toss in the pasta, and enjoy!

Apr 30 2014

ePortfolio: Math 1040 Reflection

Body Measurements – Math 1040 Final Project

Throughout this semester we have been evaluating claims and looking at statistical analysis’ of populations data. For my final project I chose to evaluate data on a population of individuals who participated in a study of their body measurements. There were 507 individuals that participated in the study; from the population I then drew two samples of 33, one being a simple random sample, and the other being a systematic random sample.

Firstly, I examined the populations’ categorical data – male to female ratio, which was 248:259, which was 49% male to 51% female. In sample 1, the simple random sample, the ratio was split 16:17, which was 48% male to 52% female. In sample 2, the systematic random sample, the ratio was split 17:16, which was 52% male to 48% female. Although, the populations were not evenly split between male and female like one would assume, with an uneven sample number it is mathematically impossible to have the samples be evenly split.

The confidence intervals for population proportion, of the categorical data, the ratios of male to females in sample 1. These intervals are 90% (0.372, 0.658), 95% (0.345, 0.686), and 99% (0.291, 0.739). Meaning that in each interval, we are X% confident that the population proportion of females will be included in the confidence interval. In all of our intervals we can be confident that the population proportion of females, which are 51.52% will be between the values (0.372, 0.658). The values all worked, because the sample data did a good job of estimating the population value.

I ran a hypothesis test on categorical data of sample 1, to test and see if the population proportion is equal to 50% (Ho: p=0.50, H1: p≠0.50). With a two-tailed test the p-value is twice the value of the area to the right; the p-value is 0.8650.The calculated p-value is 0.8618, both of the p-values are greater than significance levels of 0.01, 0.05, and 0.1; therefore we fail to reject the null hypothesis. Thus we can conclude that there is not sufficient sample evidence to warrant rejection of the claim that 50% of the population is female.

Secondly, I examined the populations’ quantitative data. I chose to evaluate abdominal measurements, as I am going into the health care field, and abdominal measurements can tell us a lot about the individual. The frequencies within the population were normally distributed, the mean was 85.654cm with a standard deviation of 9.415cm, minimum of the population was 64cm, and the maximum was 121.1cm. The frequencies within sample 1 were skewed to the right, the mean was 84.5cm with a standard deviation of 9.244cm, the minimum of the sample 67cm, and the maximum was 107cm. The frequencies within sample 2 were skewed to the left, the mean was 79.345cm with a standard deviation was 15.175cm, the minimum was 52.4, and the maximum was 107.3cm.

The confidence intervals for population mean, of the quantitative data, abdominal girth of sample 1 where the mean was 84.5, and sample standard deviation was 9.244, and the population standard deviation is “unknown”, three confidence intervals are computed as below. For this sample the confidence intervals are 90% (81.774, 87.226), 95% (81.222, 87.778), and 99% (80.094, 88.904). Meaning that in each interval, we are X% confident that the true mean of abdominal girth for all of the people in the population, will be included in the confidence interval. The population parameters of a population mean 84.5 and a standard deviation of 9.244 is captured by all of the confidence intervals, we can continue to create a narrower confidence interval, however the degree of confidence that will be displayed decreased substantially with every attempt to narrow our interval.

I ran a hypothesis test for the abdominal girth in the sample 1, we tested the claim that the population mean is greater than 1st Quartile of the population (Ho: mµ=78.8, H1: mµ>78.8). The sample is right-tailed; therefore the critical region is everything right of the critical value (everything greater than 1.694). The test statistic 3.542 is greater than 1.694, it is in the critical region, so we reject the null hypothesis. There is sufficient evidence to support the claim that the population mean is greater than 78.8cm.

This project helped me understand the concepts of statistical analysis, and testing. Throughout the statistical projects of this class I have learned a lot about how Math, and Statistics relates to treatment in the health care world. I asked around while working on projects for this class “how many times have you used statistics since learning it in class” and was slightly depressed (just kidding) when I heard a resounding, “we use it everyday, even if we are not the ones doing the math or data collection – medicine relies on statistical analysis.” Through this project it helped me get a first hand experience of forming a hypothesis, sample selection, analyzing said data, interpret the data, and in turn being able to reject or approve our hypothesis.