[
    {
        "question": "The following descriptive statistics included in a box plot:",
        "type": "many_choice",
        "shuffle_answers": true,
        "answers": [
            {
                "answer": "median",
                "correct": true,
                "feedback": "Correct."
            },
            {
                "answer": "mean",
                "correct": false,
                "feedback": "Incorrect."
            },
            {
                "answer": "mode",
                "correct": false,
                "feedback": "Incorrect."
            },
            {
                "answer": "minimum value",
                "correct": true,
                "feedback": "Correct."
            },
            {
                "answer": "maximum value",
                "correct": true,
                "feedback": "Correct."
            },
                        {
                "answer": "standard deviation",
                "correct": false,
                "feedback": "Incorrect."
            },
            {
                "answer": "outlier values",
                "correct": true,
                "feedback": "Correct."
            }
        ]
    },
    {
        "question": "The following are dimensionality reduction methods:",
        "type": "many_choice",
        "shuffle_answers": true,
        "answers": [
            {
                "answer": "heatmap",
                "correct": false,
                "feedback": "Incorrect."
            },
            {
                "answer": "box plot",
                "correct": false,
                "feedback": "Incorrect."
            },
            {
                "answer": "principle components analysis",
                "correct": true,
                "feedback": "Correct."
            },
            {
                "answer": "tSNE",
                "correct": true,
                "feedback": "Correct."
            },
                        {
                "answer": "k-means clustering",
                "correct": false,
                "feedback": "Incorrect."
            },
                        {
                "answer": "factor analysis",
                "correct": true,
                "feedback": "Correct."
            }
        ]
    },
    {
        "question": "The following are properties of PCA",
        "type": "many_choice",
        "shuffle_answers": true,
        "answers": [
            {
                "answer": "principle components represent the mean values of each cluster.",
                "correct": false,
                "feedback": "Incorrect."
            },
            {
                "answer": "principle components represent decreasing levels of variance in the data.",
                "correct": true,
                "feedback": "Correct."
            },
            {
                "answer": "principle components are linear combinations of the observed variables.",
                "correct": true,
                "feedback": "Correct."
            },
            {
                "answer": "principle components are nonlinear combinations of the observed variables.",
                "correct": false,
                "feedback": "Incorrect."
            },
            {
                "answer": "the transformed data points in a PCA plot have biological meaning.",
                "correct": false,
                "feedback": "Incorrect."
            },
            {
                "answer": "all of the principle components are necessary for data visualization.",
                "correct": false,
                "feedback": "Incorrect."
            }
        ]
    },
    {
        "question": "In k-means clustering:",
        "type": "many_choice",
        "shuffle_answers": true,
        "answers": [
            {
                "answer": "the centroid has no meaning.",
                "correct": false,
                "feedback": "Incorrect."
            },
            {
                "answer": "the centroid represents the mean of a cluster.",
                "correct": true,
                "feedback": "Correct."
            },
            {
                "answer": "all clusters share the same centroid.",
                "correct": false,
                "feedback": "Incorrect."
            },
            {
                "answer": "the number of clusters are determined by the algorithm.",
                "correct": false,
                "feedback": "Incorrect."
            },
            {
                "answer": "the number of optimal clusters can be determined by an elbow plot.",
                "correct": true,
                "feedback": "Correct."
            },
            {
                "answer": "uses hierarchical clustering for the first iteration.",
                "correct": false,
                "feedback": "Incorrect."
            }
        ]
    }
]